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Philip S. Yu
Person information
- affiliation: University of Illinois at Chicago, Department of Computer Science, Chicago, IL, USA
- affiliation (PhD): Stanford University, Stanford, CA, USA
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2020 – today
- 2025
- [j622]Zhilin Zhao
, Longbing Cao
, Philip S. Yu
:
Out-of-distribution detection by regaining lost clues. Artif. Intell. 339: 104275 (2025) - [j621]Aiwei Liu
, Leyi Pan
, Yijian Lu
, Jingjing Li
, Xuming Hu
, Xi Zhang
, Lijie Wen
, Irwin King
, Hui Xiong
, Philip S. Yu
:
A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. 57(2): 47:1-47:36 (2025) - [j620]Yihan Cao
, Siyu Li
, Yixin Liu
, Zhiling Yan
, Yutong Dai
, Philip S. Yu
, Lichao Sun
:
A Survey of AI-Generated Content (AIGC). ACM Comput. Surv. 57(5): 125:1-125:38 (2025) - [j619]Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Weng, Philip S. Yu, Yongfeng Zhang:
Recommender Systems Meet Large Language Model Agents: A Survey. Found. Trends Priv. Secur. 7(4): 247-396 (2025) - [j618]Chaoguang Luo
, Liuying Wen, Yong Qin, Philip S. Yu, Liangwei Yang, Zhineng Hu:
Diversified recommendation with weighted hypergraph embedding: Case study in music. Neurocomputing 616: 128905 (2025) - [j617]Litian Zhang
, Xiaoming Zhang
, Ziyi Zhou, Xi Zhang, Philip S. Yu, Chaozhuo Li:
Knowledge-aware multimodal pre-training for fake news detection. Inf. Fusion 114: 102715 (2025) - [j616]Jia-Hao Syu
, Jerry Chun-Wei Lin, Philip S. Yu:
Multi-head learning models for power consumption prediction of unmanned ground vehicles. Inf. Fusion 118: 102895 (2025) - [j615]Qihua Feng
, Zhixun Lu, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu
:
End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer. Inf. Fusion 121: 103153 (2025) - [j614]Lixiang Xu
, Kang Jiang, Xin Niu, Enhong Chen, Bin Luo, Philip S. Yu
:
GL-BKGNN: Graphlet-based Bi-Kernel Interpretable Graph Neural Networks. Inf. Fusion 123: 103284 (2025) - [j613]Hengzhu Liu, Ping Xiong
, Tianqing Zhu, Philip S. Yu
:
A survey on machine unlearning: Techniques and new emerged privacy risks. J. Inf. Secur. Appl. 90: 104010 (2025) - [j612]Han Chen
, Hairong Wang, Zhipeng Liu, Yuhua Li
, Yifan Hu, Yujing Zhang, Kai Shu, Ruixuan Li, Philip S. Yu:
Multi-modal Robustness Fake News Detection with Cross-Modal and Propagation Network Contrastive Learning. Knowl. Based Syst. 309: 112800 (2025) - [j611]Jiayang Wu, Wensheng Gan
, Jiahao Zhang, Philip S. Yu
:
Contrastive learning for anomaly detection in hierarchical subgraph. Knowl. Based Syst. 317: 113435 (2025) - [j610]Yanxin Zheng, Wensheng Gan, Zefeng Chen, Zhenlian Qi, Qian Liang, Philip S. Yu:
Large language models for medicine: a survey. Int. J. Mach. Learn. Cybern. 16(2): 1015-1040 (2025) - [j609]Runliang Niu
, Qi Wang, He Kong
, Qianli Xing, Yi Chang, Philip S. Yu
:
Learn to explain transformer via interpretation path by reinforcement learning. Neural Networks 188: 107496 (2025) - [j608]Jiawei Liu
, Cheng Yang
, Zhiyuan Lu
, Junze Chen, Yibo Li
, Mengmei Zhang, Ting Bai
, Yuan Fang
, Lichao Sun
, Philip S. Yu
, Chuan Shi
:
Graph Foundation Models: Concepts, Opportunities and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 5023-5044 (2025) - [j607]Libo Qin
, Qiguang Chen
, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu:
A survey of multilingual large language models. Patterns 6(1): 101118 (2025) - [j606]Lixiang Xu
, Zhiwen Wang, Lu Bai, Shengwei Ji, Bing Ai, Xiaofeng Wang, Philip S. Yu:
Multi-Level Knowledge Distillation with Positional Encoding Enhancement. Pattern Recognit. 163: 111458 (2025) - [j605]Heng Xu, Tianqing Zhu
, Lefeng Zhang
, Wanlei Zhou
, Philip S. Yu
:
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. IEEE Trans. Big Data 11(2): 524-539 (2025) - [j604]Huiqiang Chen
, Tianqing Zhu
, Bo Liu
, Wanlei Zhou
, Philip S. Yu
:
Fine-Tuning a Biased Model for Improving Fairness. IEEE Trans. Big Data 11(3): 1397-1410 (2025) - [j603]Huan Tian
, Bo Liu
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
Distilling Fair Representations From Fair Teachers. IEEE Trans. Big Data 11(3): 1419-1433 (2025) - [j602]Jian Zhu
, Xiaoye Chen, Wensheng Gan
, Zefeng Chen
, Philip S. Yu
:
Targeted Mining Precise-Positioning Episode Rules. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 904-917 (2025) - [j601]Zhixiao Wang
, Jiayu Zhao
, Chengcheng Sun
, Xiaobin Rui
, Philip S. Yu
:
A General Concave Fairness Framework for Influence Maximization Based on Poverty Reward. ACM Trans. Knowl. Discov. Data 19(1): 14:1-14:23 (2025) - [j600]Guangjie Zeng
, Hao Peng
, Angsheng Li
, Jia Wu
, Chunyang Liu
, Philip S. Yu
:
Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints. IEEE Trans. Knowl. Data Eng. 37(1): 478-492 (2025) - [j599]Litian Zhang
, Xiaoming Zhang
, Ziyi Zhou
, Xi Zhang
, Senzhang Wang
, Philip S. Yu
, Chaozhuo Li:
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. IEEE Trans. Knowl. Data Eng. 37(2): 613-625 (2025) - [j598]Runze Yang
, Hao Peng
, Angsheng Li
, Peng Li
, Chunyang Liu
, Philip S. Yu
:
Hierarchical Abstracting Graph Kernel. IEEE Trans. Knowl. Data Eng. 37(2): 724-738 (2025) - [j597]Zeyu Zhang
, Chaozhuo Li
, Xu Chen
, Xing Xie
, Philip S. Yu
:
Meta Recommendation With Robustness Improvement. IEEE Trans. Knowl. Data Eng. 37(2): 781-793 (2025) - [j596]Lu Bai
, Lixin Cui
, Ming Li
, Peng Ren
, Yue Wang
, Lichi Zhang
, Philip S. Yu
, Edwin R. Hancock
:
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Trans. Knowl. Data Eng. 37(3): 1064-1078 (2025) - [j595]Ya-Wen Teng
, Yishuo Shi
, De-Nian Yang
, Chih-Hua Tai, Philip S. Yu
, Ming-Syan Chen
:
Multi-Grade Revenue Maximization for Promotional and Competitive Viral Marketing in Social Networks. IEEE Trans. Knowl. Data Eng. 37(3): 1339-1353 (2025) - [j594]Juyong Jiang, Peiyan Zhang
, Yingtao Luo
, Chaozhuo Li
, Jae Boum Kim, Kai Zhang, Senzhang Wang
, Sunghun Kim, Philip S. Yu
:
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. IEEE Trans. Knowl. Data Eng. 37(5): 2652-2664 (2025) - [j593]Songwei Zhao
, Bo Yu
, Kang Yang, Sinuo Zhang, Jifeng Hu
, Yuan Jiang
, Philip S. Yu
, Hechang Chen
:
A Flexible Diffusion Convolution for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 37(6): 3118-3131 (2025) - [j592]Wensheng Gan
, Gengsen Huang, Jian Weng
, Tianlong Gu
, Philip S. Yu
:
Towards Target Sequential Rules. IEEE Trans. Knowl. Data Eng. 37(6): 3766-3780 (2025) - [j591]Huan Tian
, Bo Liu
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
MultiFair: Model Fairness With Multiple Sensitive Attributes. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5654-5667 (2025) - [j590]Yazhou Ren
, Jingyu Pu
, Zhimeng Yang, Jie Xu
, Guofeng Li, Xiaorong Pu
, Philip S. Yu
, Lifang He
:
Deep Clustering: A Comprehensive Survey. IEEE Trans. Neural Networks Learn. Syst. 36(4): 5858-5878 (2025) - [j589]Xusheng Zhao
, Qiong Dai
, Xu Bai
, Jia Wu
, Hao Peng
, Huailiang Peng
, Zhengtao Yu
, Philip S. Yu
:
Reinforced GNNs for Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6693-6707 (2025) - [j588]Pu Li
, Xiaoyan Yu
, Hao Peng
, Yantuan Xian
, Linqin Wang
, Li Sun
, Jingyun Zhang
, Philip S. Yu
:
Relational Prompt-Based Pre-Trained Language Models for Social Event Detection. ACM Trans. Inf. Syst. 43(1): 12:1-12:43 (2025) - [j587]Zhiwei Liu
, Hao Peng
, Caiming Xiong
, Julian J. McAuley
, Philip S. Yu
:
Introduction to the Special Issue on Knowledge Transferring for Recommender Systems. Trans. Recomm. Syst. 3(3): 26:1-26:4 (2025) - [c1122]Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu:
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. AAAI 2025: 12586-12594 - [c1121]Xiaoyan Yu, Yifan Wei
, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu:
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. AAAI 2025: 13106-13114 - [c1120]Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu:
Structural Entropy Guided Probabilistic Coding. AAAI 2025: 17467-17475 - [c1119]Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu:
Taxonomy-Guided Zero-Shot Recommendations with LLMs. COLING 2025: 1520-1530 - [c1118]Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu:
Multi-View Incongruity Learning for Multimodal Sarcasm Detection. COLING 2025: 1754-1766 - [c1117]Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu:
BANGS: Game-theoretic Node Selection for Graph Self-Training. ICLR 2025 - [c1116]Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu:
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. ICLR 2025 - [c1115]Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu:
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent. ICLR 2025 - [c1114]Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao:
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. ICLR 2025 - [c1113]Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu:
Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR 2025 - [c1112]Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu:
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. ICLR 2025 - [c1111]Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu:
DiffPuter: Empowering Diffusion Models for Missing Data Imputation. ICLR 2025 - [c1110]Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu:
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents. NAACL (Findings) 2025: 2866-2882 - [c1109]Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Julian Salazar, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary:
Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages. NAACL (Long Papers) 2025: 11975-11994 - [c1108]Feiran Huang
, Yuanchen Bei
, Zhenghang Yang
, Junyi Jiang
, Hao Chen
, Qijie Shen
, Senzhang Wang
, Fakhri Karray
, Philip S. Yu
:
Large Language Model Simulator for Cold-Start Recommendation. WSDM 2025: 261-270 - [c1107]Yuwei Cao
, Liangwei Yang
, Zhiwei Liu
, Yuqing Liu
, Chen Wang
, Yueqing Liang
, Hao Peng
, Philip S. Yu
:
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. WWW (Companion Volume) 2025: 888-892 - [c1106]Li Sun
, Zhenhao Huang
, Suyang Zhou
, Qiqi Wan
, Hao Peng
, Philip S. Yu
:
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. WWW 2025: 1154-1165 - [c1105]Ke Xu
, Weizhi Zhang
, Zihe Song
, Yuanjie Zhu
, Philip S. Yu
:
Graph Neural Controlled Differential Equations For Collaborative Filtering. WWW (Companion Volume) 2025: 1446-1449 - [c1104]Mingdai Yang
, Zhiwei Liu
, Liangwei Yang
, Xiaolong Liu
, Chen Wang
, Hao Peng
, Philip S. Yu
:
Training Large Recommendation Models via Graph-Language Tokens Alignment. WWW (Companion Volume) 2025: 1470-1474 - [c1103]Qingsong Wen
, Yongfeng Zhang
, Zhiwei Liu
, Julian J. McAuley
, Hua Wei
, Linsey Pang
, Wei Liu
, Philip S. Yu
:
The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. WWW (Companion Volume) 2025: 1659-1662 - [c1102]Di Jin
, Cuiying Huo
, Jiayi Shi
, Dongxiao He
, Jianguo Wei
, Philip S. Yu
:
LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction. WWW 2025: 2860-2871 - [c1101]Yantuan Xian
, Pu Li
, Hao Peng
, Zhengtao Yu
, Yan Xiang
, Philip S. Yu
:
Community Detection in Large-Scale Complex Networks via Structural Entropy Game. WWW 2025: 3930-3941 - [i577]Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu:
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR abs/2501.01945 (2025) - [i576]Jiayang Wu, Wensheng Gan, Huashen Lu, Philip S. Yu:
Graph Contrastive Learning on Multi-label Classification for Recommendations. CoRR abs/2501.06985 (2025) - [i575]Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu:
Hierarchical Superpixel Segmentation via Structural Information Theory. CoRR abs/2501.07069 (2025) - [i574]Jiayang Wu, Wensheng Gan, Jiahao Zhang, Philip S. Yu:
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training. CoRR abs/2501.07078 (2025) - [i573]Jia-Hao Syu
, Jerry Chun-Wei Lin, Philip S. Yu:
Distributed Multi-Head Learning Systems for Power Consumption Prediction. CoRR abs/2501.12133 (2025) - [i572]Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, Philip S. Yu:
Graph Neural Controlled Differential Equations For Collaborative Filtering. CoRR abs/2501.13908 (2025) - [i571]Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu:
Community Detection in Large-Scale Complex Networks via Structural Entropy Game. CoRR abs/2501.15130 (2025) - [i570]Wensheng Gan, Zhenyao Ning, Zhenlian Qi, Philip S. Yu:
Mixture of Experts (MoE): A Big Data Perspective. CoRR abs/2501.16352 (2025) - [i569]Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen:
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. CoRR abs/2502.02871 (2025) - [i568]Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu:
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. CoRR abs/2502.03236 (2025) - [i567]Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu:
RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. CoRR abs/2502.03251 (2025) - [i566]Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen:
Position: LLMs Can be Good Tutors in Foreign Language Education. CoRR abs/2502.05467 (2025) - [i565]Yibo Wang, Congying Xia, Wenting Zhao, Jiangshu Du, Chunyu Miao, Zhongfen Deng, Philip S. Yu, Chen Xing:
ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms. CoRR abs/2502.06556 (2025) - [i564]Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu:
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. CoRR abs/2502.07184 (2025) - [i563]Jiayang Wu, Wensheng Gan, Philip S. Yu:
Graph Diffusion Network for Drug-Gene Prediction. CoRR abs/2502.09335 (2025) - [i562]Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu:
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. CoRR abs/2502.10454 (2025) - [i561]Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? CoRR abs/2502.11598 (2025) - [i560]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang:
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - [i559]Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu:
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. CoRR abs/2502.16414 (2025) - [i558]Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu:
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances. CoRR abs/2502.16804 (2025) - [i557]Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu:
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. CoRR abs/2502.17510 (2025) - [i556]Xiongxiao Xu, Haoran Wang, Yueqing Liang, Philip S. Yu, Yue Zhao, Kai Shu:
Can Multimodal LLMs Perform Time Series Anomaly Detection? CoRR abs/2502.17812 (2025) - [i555]Zhijun Chen, Jingzheng Li, Pengpeng Chen, Zhuoran Li, Kai Sun, Yuankai Luo, Qianren Mao, Dingqi Yang, Hailong Sun, Philip S. Yu:
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble. CoRR abs/2502.18036 (2025) - [i554]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Training Large Recommendation Models via Graph-Language Token Alignment. CoRR abs/2502.18757 (2025) - [i553]Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu:
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. CoRR abs/2502.19163 (2025) - [i552]Yujie Feng, Liming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu:
GeoEdit: Geometric Knowledge Editing for Large Language Models. CoRR abs/2502.19953 (2025) - [i551]Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu:
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. CoRR abs/2503.01814 (2025) - [i550]Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu:
Semi-Supervised In-Context Learning: A Baseline Study. CoRR abs/2503.03062 (2025) - [i549]Jifan Zhang, Fangxin Wang, Philip S. Yu, Kaize Ding, Shixiang Zhu:
Topology-Aware Conformal Prediction for Stream Networks. CoRR abs/2503.04981 (2025) - [i548]Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao:
A Survey on Post-training of Large Language Models. CoRR abs/2503.06072 (2025) - [i547]Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen:
LLM Agents for Education: Advances and Applications. CoRR abs/2503.11733 (2025) - [i546]Yue Xing, Wensheng Gan, Qidi Chen, Philip S. Yu:
AI-Generated Content in Landscape Architecture: A Survey. CoRR abs/2503.16435 (2025) - [i545]Shu Pu, Yaochen Wang, Dongping Chen, Yuhang Chen, Guohao Wang, Qi Qin, Zhongyi Zhang, Zhiyuan Zhang, Zetong Zhou, Shuang Gong, Yi Gui, Yao Wan, Philip S. Yu:
Judge Anything: MLLM as a Judge Across Any Modality. CoRR abs/2503.17489 (2025) - [i544]Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen:
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. CoRR abs/2503.18132 (2025) - [i543]Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen
, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang:
Large Language Model Agent: A Survey on Methodology, Applications and Challenges. CoRR abs/2503.21460 (2025) - [i542]Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li:
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. CoRR abs/2503.23350 (2025) - [i541]Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu:
Automating Personalization: Prompt Optimization for Recommendation Reranking. CoRR abs/2504.03965 (2025) - [i540]Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang:
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing. CoRR abs/2504.04121 (2025) - [i539]Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Yinghui Li, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu:
RAISE: Reinforenced Adaptive Instruction Selection For Large Language Models. CoRR abs/2504.07282 (2025) - [i538]Li Sun, Zhenhao Huang, Yujie Wang, Hongbo Lv, Chunyang Liu, Hao Peng, Philip S. Yu:
IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space. CoRR abs/2504.09970 (2025) - [i537]Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu:
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR abs/2504.15585 (2025) - [i536]Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang:
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. CoRR abs/2504.16936 (2025) - [i535]Qianren Mao, Qili Zhang, Hanwen Hao, Zhentao Han, Runhua Xu, Weifeng Jiang, Qi Hu, Zhijun Chen, Tyler Zhou, Bo Li, Yangqiu Song, Jin Dong, Jianxin Li, Philip S. Yu:
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation. CoRR abs/2504.19101 (2025) - [i534]Shengli Sun, Peng Xu, Guanming Jiang, Philip S. Yu, Yi Li:
Effective Index Construction Algorithm for Optimal (k,η)-cores Computation. CoRR abs/2504.20795 (2025) - [i533]Haoyan Xu, Zhengtao Yao, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao:
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model. CoRR abs/2504.21186 (2025) - [i532]Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu:
A Survey on Large Language Model based Human-Agent Systems. CoRR abs/2505.00753 (2025) - 2024
- [j586]Jinqi Lai
, Wensheng Gan
, Jiayang Wu, Zhenlian Qi, Philip S. Yu
:
Large language models in law: A survey. AI Open 5: 181-196 (2024) - [j585]Heng Xu
, Tianqing Zhu
, Lefeng Zhang
, Wanlei Zhou
, Philip S. Yu
:
Machine Unlearning: A Survey. ACM Comput. Surv. 56(1): 9:1-9:36 (2024) - [j584]Huiqiang Chen
, Tianqing Zhu
, Tao Zhang
, Wanlei Zhou
, Philip S. Yu
:
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Comput. Surv. 56(2): 39:1-39:37 (2024) - [j583]Yao Wan
, Zhangqian Bi
, Yang He
, Jianguo Zhang
, Hongyu Zhang
, Yulei Sui
, Guandong Xu
, Hai Jin
, Philip S. Yu
:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. ACM Comput. Surv. 56(12): 309:1-309:41 (2024) - [j582]Xinqi Du
, Hechang Chen
, Yongheng Xing
, Philip S. Yu
, Lifang He:
A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. Expert Syst. Appl. 245: 123158 (2024) - [j581]Yao Chen
, Wensheng Gan
, Gengsen Huang
, Yongdong Wu
, Philip S. Yu
:
Privacy-preserving federated discovery of DNA motifs with differential privacy. Expert Syst. Appl. 249: 123799 (2024) - [j580]Liangqi Yuan
, Ziran Wang
, Lichao Sun
, Philip S. Yu
, Christopher G. Brinton
:
Decentralized Federated Learning: A Survey and Perspective. IEEE Internet Things J. 11(21): 34617-34638 (2024) - [j579]Shicheng Wan, Hong Lin, Wensheng Gan
, Jiahui Chen
, Philip S. Yu
:
Web3: The Next Internet Revolution. IEEE Internet Things J. 11(21): 34811-34825 (2024) - [j578]Yijie Gui, Wensheng Gan
, Yongdong Wu
, Philip S. Yu
:
Privacy preserving rare itemset mining. Inf. Sci. 662: 120262 (2024) - [j577]Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu:
PyGOD: A Python Library for Graph Outlier Detection. J. Mach. Learn. Res. 25: 141:1-141:9 (2024) - [j576]Zefeng Chen
, Wensheng Gan
, Gengsen Huang
, Yanxin Zheng, Philip S. Yu
:
Towards utility-driven contiguous sequential patterns in uncertain multi-sequences. Knowl. Based Syst. 284: 111314 (2024) - [j575]Han Chen
, Yuhua Li
, Philip S. Yu, Yixiong Zou
, Ruixuan Li:
DCMSL: Dual influenced community strength-boosted multi-scale graph contrastive learning. Knowl. Based Syst. 304: 112472 (2024) - [j574]Hao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu:
Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems. Int. J. Mach. Learn. Cybern. 15(1): 1-2 (2024) - [j573]Li Sun
, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. 15(4): 1397-1413 (2024) - [j572]Zhongyuan Jiang, Haibo Liu, Jing Li, Xinghua Li, Jianfeng Ma, Philip S. Yu:
Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk. Int. J. Mach. Learn. Cybern. 15(11): 4959-4971 (2024) - [j571]Guangsi Shi, Daokun Zhang
, Ming Jin, Shirui Pan
, Philip S. Yu
:
Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks 176: 106341 (2024) - [j570]Qian Li
, Jianxin Li
, Jia Wu
, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu
:
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks 179: 106479 (2024) - [j569]Lilin Zhang
, Ning Yang
, Yanchao Sun
, Philip S. Yu
:
Provable Unrestricted Adversarial Training Without Compromise With Generalizability. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8302-8319 (2024) - [j568]Xinqi Du
, Hechang Chen
, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He:
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145: 109917 (2024) - [j567]Jiayang Wu, Wensheng Gan
, Han-Chieh Chao
, Philip S. Yu
:
Geospatial Big Data: Survey and Challenges. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17007-17020 (2024) - [j566]Jiushun Ma
, Yuxin Huang
, Linqin Wang
, Xiang Huang
, Hao Peng
, Zhengtao Yu
, Philip S. Yu
:
Augmenting Low-Resource Cross-Lingual Summarization with Progression-Grounded Training and Prompting. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(9): 129:1-129:22 (2024) - [j565]Xiang Huang
, Hao Peng
, Dongcheng Zou
, Zhiwei Liu
, Jianxin Li
, Kay Liu
, Jia Wu
, Jianlin Su
, Philip S. Yu
:
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2800-2813 (2024) - [j564]Ran Song, Xiang Huang
, Hao Peng
, Shengxiang Gao
, Zhengtao Yu
, Philip S. Yu
:
WDEA: The Structure and Semantic Fusion With Wasserstein Distance for Low-Resource Language Entity Alignment. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4511-4525 (2024) - [j563]Linqin Wang
, Xiang Huang
, Zhengtao Yu
, Hao Peng
, Shengxiang Gao
, Cunli Mao
, Yuxin Huang
, Ling Dong, Philip S. Yu
:
Zero-Shot Text Normalization via Cross-Lingual Knowledge Distillation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4631-4646 (2024) - [j562]Senzhang Wang
, Changdong Wang, Di Jin
, Shirui Pan
, Philip S. Yu:
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems. IEEE Trans. Big Data 10(6): 682 (2024) - [j561]Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li, Zefan Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang, Jian Weng, Philip S. Yu:
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7467-7483 (2024) - [j560]Zhixiao Wang
, Yahui Chai, Chengcheng Sun
, Xiaobin Rui
, Hao Mi, Xinyu Zhang
, Philip S. Yu
:
A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs. IEEE Trans. Cybern. 54(2): 1037-1047 (2024) - [j559]Bin Pu
, Jiansong Liu, Yan Kang
, Jianguo Chen, Philip S. Yu
:
MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting. IEEE Trans. Cybern. 54(3): 1582-1595 (2024) - [j558]Jia Wu, Jian Yang, Philip S. Yu, Carlo Condo:
Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications. IEEE Trans. Emerg. Top. Comput. 12(2): 402 (2024) - [j557]Yupeng Chang
, Xu Wang
, Jindong Wang
, Yuan Wu
, Linyi Yang
, Kaijie Zhu
, Hao Chen
, Xiaoyuan Yi
, Cunxiang Wang
, Yidong Wang
, Wei Ye
, Yue Zhang
, Yi Chang
, Philip S. Yu
, Qiang Yang, Xing Xie
:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [j556]Chunkai Zhang
, Yuting Yang
, Zilin Du
, Wensheng Gan
, Philip S. Yu
:
HUSP-SP: Faster Utility Mining on Sequence Data. ACM Trans. Knowl. Discov. Data 18(1): 5:1-5:21 (2024) - [j555]Chunkai Zhang
, Maohua Lyu
, Wensheng Gan
, Philip S. Yu
:
Totally-ordered Sequential Rules for Utility Maximization. ACM Trans. Knowl. Discov. Data 18(4): 80:1-80:23 (2024) - [j554]Gengsen Huang
, Wensheng Gan
, Philip S. Yu
:
TaSPM: Targeted Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 18(5): 114:1-114:18 (2024) - [j553]Ting-Ting Su
, Chang-Dong Wang
, Wudong Xi
, Jian-Huang Lai
, Philip S. Yu
:
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. 36(1): 199-210 (2024) - [j552]Chuanpan Zheng
, Xiaoliang Fan
, Shirui Pan
, Haibing Jin
, Zhaopeng Peng
, Zonghan Wu
, Cheng Wang
, Philip S. Yu
:
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. 36(1): 372-385 (2024) - [j551]Yue Wang
, Yao Wan
, Lu Bai
, Lixin Cui
, Zhuo Xu
, Ming Li
, Philip S. Yu
, Edwin R. Hancock
:
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. 36(2): 475-489 (2024) - [j550]Wen-Zhi Li
, Chang-Dong Wang
, Jian-Huang Lai
, Philip S. Yu
:
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. IEEE Trans. Knowl. Data Eng. 36(2): 868-881 (2024) - [j549]Siyuan Guo
, Lixin Zou
, Hechang Chen
, Bohao Qu
, Haotian Chi
, Philip S. Yu
, Yi Chang
:
Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(3): 1299-1310 (2024) - [j548]Xuming Hu
, Zhaochen Hong
, Chenwei Zhang
, Aiwei Liu
, Shiao Meng
, Lijie Wen
, Irwin King
, Philip S. Yu
:
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36(5): 2026-2040 (2024) - [j547]Shuaiqi Liu
, Jiannong Cao
, Zhongfen Deng
, Wenting Zhao
, Ruosong Yang
, Zhiyuan Wen
, Philip S. Yu
:
Neural Abstractive Summarization for Long Text and Multiple Tables. IEEE Trans. Knowl. Data Eng. 36(6): 2572-2586 (2024) - [j546]Jiaqian Ren
, Hao Peng
, Lei Jiang
, Zhiwei Liu
, Jia Wu
, Zhengtao Yu
, Philip S. Yu
:
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. IEEE Trans. Knowl. Data Eng. 36(6): 2701-2715 (2024) - [j545]Jiangnan Xia
, Yu Yang
, Senzhang Wang
, Hongzhi Yin
, Jiannong Cao
, Philip S. Yu
:
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 2895-2909 (2024) - [j544]Xinqi Du
, Ziyue Li
, Cheng Long
, Yongheng Xing
, Philip S. Yu
, Hechang Chen
:
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(9): 4678-4692 (2024) - [j543]Man-Sheng Chen
, Chang-Dong Wang
, Dong Huang
, Jian-Huang Lai
, Philip S. Yu
:
Concept Factorization Based Multiview Clustering for Large-Scale Data. IEEE Trans. Knowl. Data Eng. 36(11): 5784-5796 (2024) - [j542]Haibo Wang
, Chuan Zhou
, Xin Chen
, Jia Wu
, Shirui Pan
, Zhao Li
, Jilong Wang
, Philip S. Yu
:
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(11): 6344-6357 (2024) - [j541]Lu Bai
, Lixin Cui
, Yue Wang
, Ming Li
, Jing Li
, Philip S. Yu
, Edwin R. Hancock
:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. IEEE Trans. Knowl. Data Eng. 36(11): 6370-6384 (2024) - [j540]Yi Zhang, Yuying Zhao
, Zhaoqing Li, Xueqi Cheng
, Yu Wang
, Olivera Kotevska
, Philip S. Yu
, Tyler Derr
:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Trans. Knowl. Data Eng. 36(12): 7497-7515 (2024) - [j539]Zhangtao Cheng
, Fan Zhou
, Xovee Xu
, Kunpeng Zhang
, Goce Trajcevski
, Ting Zhong
, Philip S. Yu
:
Information Cascade Popularity Prediction via Probabilistic Diffusion. IEEE Trans. Knowl. Data Eng. 36(12): 8541-8555 (2024) - [j538]Tengfei Ma
, Yujie Chen, Wen Tao
, Dashun Zheng, Xuan Lin
, Patrick Cheong-Iao Pang, Yiping Liu
, Yijun Wang
, Longyue Wang, Bosheng Song
, Xiangxiang Zeng
, Philip S. Yu
:
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction. IEEE Trans. Knowl. Data Eng. 36(12): 8682-8694 (2024) - [j537]Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu:
Uncertainty in Graph Neural Networks: A Survey. Trans. Mach. Learn. Res. 2024 (2024) - [j536]Youwei Liang
, Dong Huang
, Chang-Dong Wang
, Philip S. Yu
:
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2848-2862 (2024) - [j535]Xing Su
, Shan Xue
, Fanzhen Liu
, Jia Wu
, Jian Yang
, Chuan Zhou
, Wenbin Hu
, Cécile Paris, Surya Nepal
, Di Jin
, Quan Z. Sheng
, Philip S. Yu
:
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4682-4702 (2024) - [j534]Qian Li
, Jianxin Li
, Jiawei Sheng
, Shiyao Cui
, Jia Wu
, Yiming Hei
, Hao Peng
, Shu Guo, Lihong Wang, Amin Beheshti
, Philip S. Yu
:
A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6301-6321 (2024) - [j533]Lingjuan Lyu
, Han Yu
, Xingjun Ma
, Chen Chen
, Lichao Sun
, Jun Zhao
, Qiang Yang, Philip S. Yu
:
Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8726-8746 (2024) - [j532]Xunxun Wu, Chang-Dong Wang
, Jia-Qi Lin
, Wudong Xi
, Philip S. Yu
:
Motif-Based Contrastive Learning for Community Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11706-11719 (2024) - [j531]Jie Xu
, Chaozhuo Li
, Feiran Huang
, Zhoujun Li
, Xing Xie
, Philip S. Yu
:
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13340-13353 (2024) - [j530]Hao Peng
, Jingyun Zhang
, Xiang Huang
, Zhifeng Hao
, Angsheng Li
, Zhengtao Yu
, Philip S. Yu
:
Unsupervised Social Bot Detection via Structural Information Theory. ACM Trans. Inf. Syst. 42(6): 148:1-148:42 (2024) - [j529]Hao Peng
, Jian Yang
, Jia Wu
, Philip S. Yu
:
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2. ACM Trans. Web 18(2): 16:1-16:2 (2024) - [c1100]Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu:
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. AAAI 2024: 249-256 - [c1099]Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu:
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. AAAI 2024: 8255-8264 - [c1098]Li Sun, Zhenhao Huang
, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu:
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. AAAI 2024: 9044-9052 - [c1097]Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He:
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. AAAI 2024: 14633-14641 - [c1096]Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu:
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. AAAI 2024: 18261-18269 - [c1095]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) 2024: 338-354 - [c1094]Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu:
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. ACL (Findings) 2024: 8631-8643 - [c1093]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. ACL (Findings) 2024: 10650-10671 - [c1092]Jiayang Wu
, Wensheng Gan
, Jinqi Lai
, Guoting Chen
, Philip S. Yu
:
Drug-gene Associations with Graph Learning. BCB 2024: 61:1-61:6 - [c1091]Xuan Lin, Xi Zhang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng, Philip S. Yu:
CSCL-DTI: predicting drug-target interaction through cross-view and self-supervised contrastive learning. BIBM 2024: 707-712 - [c1090]Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu:
Personalized Multi-task Training for Recommender System. IEEE Big Data 2024: 413-422 - [c1089]Yuqing Liu, Yu Wang, Yuwei Cao, Lichao Sun, Philip S. Yu:
Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation. IEEE Big Data 2024: 456-461 - [c1088]Zehao Gu
, Shiyang Zhou
, Yun Xiong
, Yang Luo
, Hongrun Ren
, Qiang Wang
, Xiaofeng Gao
, Philip S. Yu
:
MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting. CIKM 2024: 685-694 - [c1087]Chen Wang
, Liangwei Yang
, Zhiwei Liu
, Xiaolong Liu
, Mingdai Yang
, Yueqing Liang
, Philip S. Yu
:
Collaborative Alignment for Recommendation. CIKM 2024: 2315-2325 - [c1086]Xiaoyan Yu
, Yifan Wei
, Pu Li
, Shuaishuai Zhou
, Hao Peng
, Li Sun
, Liehuang Zhu
, Philip S. Yu
:
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. CIKM 2024: 3052-3062 - [c1085]Hengrui Zhang
, Shen Wang
, Vassilis N. Ioannidis
, Soji Adeshina
, Jiani Zhang
, Xiao Qin
, Christos Faloutsos
, Da Zheng
, George Karypis
, Philip S. Yu
:
Revisit Orthogonality in Graph-Regularized MLPs. CIKM 2024: 3145-3154 - [c1084]Hengrui Zhang
, Qitian Wu
, Chenxiao Yang
, Philip S. Yu
:
InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data. CIKM 2024: 3155-3164 - [c1083]Weizhi Zhang
, Liangwei Yang
, Zihe Song
, Henry Peng Zou
, Ke Xu
, Liancheng Fang
, Philip S. Yu
:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CIKM 2024: 3248-3258 - [c1082]Luyi Ma
, Xiaohan Li
, Kamilia Ahmadi
, Jianpeng Xu
, Philip S. Yu
, George Karypis
:
3rd International Workshop on Industrial Recommendation Systems (IRS). CIKM 2024: 5588-5591 - [c1081]Yongfeng Zhang
, Zhiwei Liu, Qingsong Wen
, Linsey Pang, Wei Liu, Philip S. Yu
:
AI Agent for Information Retrieval: Generating and Ranking. CIKM 2024: 5605-5607 - [c1080]Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde
, Eugene Rohrbaugh, Philip S. Yu:
CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts. LREC/COLING 2024: 4008-4020 - [c1079]Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu:
Beyond the Known: Novel Class Discovery for Open-World Graph Learning. DASFAA (6) 2024: 117-133 - [c1078]Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu:
DA³: A Distribution-Aware Adversarial Attack against Language Models. EMNLP 2024: 1808-1825 - [c1077]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. EMNLP 2024: 5081-5099 - [c1076]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Towards Understanding Factual Knowledge of Large Language Models. ICLR 2024 - [c1075]Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu:
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR 2024 - [c1074]Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu:
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. ICML 2024 - [c1073]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c1072]Fariba Lotfi
, Amin Beheshti
, Mansour Jamzad, Hamid Beigy, Jia Wu
, Philip S. Yu:
The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. ICWS 2024: 1177-1187 - [c1071]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. IJCAI 2024: 8170-8178 - [c1070]Zhongyi Pei
, Zhiyao Cen
, Yipeng Huang
, Chen Wang
, Lin Liu
, Philip S. Yu
, Mingsheng Long
, Jianmin Wang
:
BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. KDD 2024: 2340-2351 - [c1069]Chen Wang
, Ziwei Fan
, Liangwei Yang
, Mingdai Yang
, Xiaolong Liu
, Zhiwei Liu
, Philip S. Yu
:
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. KDD 2024: 2970-2979 - [c1068]Ronghui Xu
, Hao Miao
, Senzhang Wang
, Philip S. Yu
, Jianxin Wang
:
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. KDD 2024: 3621-3632 - [c1067]Yuxuan Liang
, Chuishi Meng
, Yanhua Li
, Yu Zheng
, Jieping Ye
, Qiang Yang, Philip S. Yu
, Ouri Wolfson
:
The 13th International Workshop on Urban Computing. KDD 2024: 6727-6728 - [c1066]Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz:
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. NAACL-HLT (Findings) 2024: 51-68 - [c1065]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu:
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. NAACL-HLT 2024: 326-337 - [c1064]Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu:
When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models. NeurIPS 2024 - [c1063]Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu:
GC-Bench: An Open and Unified Benchmark for Graph Condensation. NeurIPS 2024 - [c1062]Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu:
Spiking Graph Neural Network on Riemannian Manifolds. NeurIPS 2024 - [c1061]Yu Wang
, Zhiwei Liu
, Liangwei Yang
, Philip S. Yu
:
Conditional Denoising Diffusion for Sequential Recommendation. PAKDD (5) 2024: 156-169 - [c1060]Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu:
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. SDM 2024: 145-153 - [c1059]Mingdai Yang
, Zhiwei Liu
, Liangwei Yang
, Xiaolong Liu
, Chen Wang
, Hao Peng
, Philip S. Yu
:
Instruction-based Hypergraph Pretraining. SIGIR 2024: 501-511 - [c1058]Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu:
Multi-Relational Structural Entropy. UAI 2024: 532-546 - [c1057]Xiaolong Liu
, Liangwei Yang
, Zhiwei Liu
, Mingdai Yang
, Chen Wang
, Hao Peng
, Philip S. Yu
:
Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM 2024: 462-471 - [c1056]Mingdai Yang
, Zhiwei Liu
, Liangwei Yang
, Xiaolong Liu
, Chen Wang
, Hao Peng
, Philip S. Yu
:
Unified Pretraining for Recommendation via Task Hypergraphs. WSDM 2024: 891-900 - [c1055]Xusheng Zhao
, Hao Peng
, Qiong Dai
, Xu Bai
, Huailiang Peng
, Yanbing Liu
, Qinglang Guo
, Philip S. Yu
:
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. WSDM 2024: 976-984 - [c1054]Yue Huang
, Kai Shu
, Philip S. Yu
, Lichao Sun
:
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. WWW (Companion Volume) 2024: 513-516 - [c1053]Chuan Shi
, Cheng Yang
, Yuan Fang
, Lichao Sun
, Philip S. Yu
:
Lecture-style Tutorial: Towards Graph Foundation Models. WWW (Companion Volume) 2024: 1264-1267 - [c1052]Zefeng Chen
, Wensheng Gan
, Jiayi Sun
, Jiayang Wu
, Philip S. Yu
:
Open Metaverse: Issues, Evolution, and Future. WWW (Companion Volume) 2024: 1351-1360 - [c1051]Wenting Zhao
, Zhongfen Deng
, Shweta Yadav
, Philip S. Yu
:
Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model. WWW (Companion Volume) 2024: 1590-1594 - [c1050]Li Sun
, Jingbin Hu
, Suyang Zhou
, Zhenhao Huang
, Junda Ye
, Hao Peng
, Zhengtao Yu
, Philip S. Yu
:
RicciNet: Deep Clustering via A Riemannian Generative Model. WWW 2024: 4071-4082 - [i531]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. CoRR abs/2401.00288 (2024) - [i530]Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu:
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning. CoRR abs/2401.01232 (2024) - [i529]Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. CoRR abs/2401.01243 (2024) - [i528]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i527]Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu:
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. CoRR abs/2401.12780 (2024) - [i526]Wenjing Chang, Kay Liu
, Kaize Ding, Philip S. Yu, Jianjun Yu:
Multitask Active Learning for Graph Anomaly Detection. CoRR abs/2401.13210 (2024) - [i525]Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu:
Cyclic Neural Network. CoRR abs/2402.03332 (2024) - [i524]Yuqing Liu, Yu Wang, Lichao Sun, Philip S. Yu:
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models. CoRR abs/2402.08670 (2024) - [i523]Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu:
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction. CoRR abs/2402.08976 (2024) - [i522]Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu:
When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models. CoRR abs/2402.11100 (2024) - [i521]Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee:
Disclosure and Mitigation of Gender Bias in LLMs. CoRR abs/2402.11190 (2024) - [i520]Yinghui Li, Shang Qin, Jingheng Ye
, Shirong Ma, Yangning Li, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu:
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. CoRR abs/2402.11420 (2024) - [i519]Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu
, Zhiwei Zhang, Lu Cheng, Suhang Wang
, Philip S. Yu, Yao Ma:
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR abs/2402.15680 (2024) - [i518]Chaoguang Luo
, Liuying Wen, Yong Qin, Liangwei Yang, Zhineng Hu, Philip S. Yu:
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning. CoRR abs/2402.16299 (2024) - [i517]Wei Ju
, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo
, Philip S. Yu, Ming Zhang
:
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR abs/2403.04468 (2024) - [i516]Fangxin Wang, Yuqing Liu, Kay Liu
, Yibo Wang, Sourav Medya, Philip S. Yu:
Uncertainty in Graph Neural Networks: A Survey. CoRR abs/2403.07185 (2024) - [i515]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen
, Philip S. Yu, Zhijiang Guo:
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR abs/2403.12077 (2024) - [i514]Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
:
Large Language Models for Education: A Survey and Outlook. CoRR abs/2403.18105 (2024) - [i513]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Instruction-based Hypergraph Pretraining. CoRR abs/2403.19063 (2024) - [i512]Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu:
Beyond the Known: Novel Class Discovery for Open-world Graph Learning. CoRR abs/2403.19907 (2024) - [i511]Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu:
Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers. CoRR abs/2404.04925 (2024) - [i510]Pu Li, Xiaoyan Yu, Hao Peng, Yantuan Xian, Linqin Wang, Li Sun, Jingyun Zhang, Philip S. Yu:
Relational Prompt-based Pre-trained Language Models for Social Event Detection. CoRR abs/2404.08263 (2024) - [i509]Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu:
CORI: CJKV Benchmark with Romanization Integration - A step towards Cross-lingual Transfer Beyond Textual Scripts. CoRR abs/2404.12618 (2024) - [i508]Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu:
Unsupervised Social Bot Detection via Structural Information Theory. CoRR abs/2404.13595 (2024) - [i507]Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip S. Yu:
Uncertainty Quantification on Graph Learning: A Survey. CoRR abs/2404.14642 (2024) - [i506]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR abs/2404.15592 (2024) - [i505]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR abs/2404.15954 (2024) - [i504]Jiayang Wu, Wensheng Gan, Han-Chieh Chao
, Philip S. Yu:
Geospatial Big Data: Survey and Challenges. CoRR abs/2404.18428 (2024) - [i503]Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu:
Multi-Relational Structural Entropy. CoRR abs/2405.07096 (2024) - [i502]Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu:
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. CoRR abs/2405.11801 (2024) - [i501]Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu:
Large Language Models Meet NLP: A Survey. CoRR abs/2405.12819 (2024) - [i500]Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu, Philip S. Yu:
Large Language Models for Education: A Survey. CoRR abs/2405.13001 (2024) - [i499]Yanxin Zheng, Wensheng Gan, Zefeng Chen, Zhenlian Qi, Qian Liang, Philip S. Yu:
Large Language Models for Medicine: A Survey. CoRR abs/2405.13055 (2024) - [i498]Hengrui Zhang, Liancheng Fang, Philip S. Yu:
Unleashing the Potential of Diffusion Models for Incomplete Data Imputation. CoRR abs/2405.20690 (2024) - [i497]Wenjing Chang, Kay Liu
, Philip S. Yu, Jianjun Yu:
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement. CoRR abs/2406.00987 (2024) - [i496]Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang:
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. CoRR abs/2406.02318 (2024) - [i495]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. CoRR abs/2406.02594 (2024) - [i494]Jian Zhu, Xiaoye Chen, Wensheng Gan, Zefeng Chen, Philip S. Yu:
Targeted Mining Precise-positioning Episode Rules. CoRR abs/2406.05070 (2024) - [i493]Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu:
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks. CoRR abs/2406.06186 (2024) - [i492]Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu:
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey. CoRR abs/2406.07973 (2024) - [i491]Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu:
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR abs/2406.09870 (2024) - [i490]Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions. CoRR abs/2406.10861 (2024) - [i489]Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives. CoRR abs/2406.10884 (2024) - [i488]Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li:
A Survey of AIOps for Failure Management in the Era of Large Language Models. CoRR abs/2406.11213 (2024) - [i487]Haopeng Zhang, Philip S. Yu, Jiawei Zhang:
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models. CoRR abs/2406.11289 (2024) - [i486]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. CoRR abs/2406.12516 (2024) - [i485]Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu:
Taxonomy-Guided Zero-Shot Recommendations with LLMs. CoRR abs/2406.14043 (2024) - [i484]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta
, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR abs/2406.16253 (2024) - [i483]Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu:
Large Language Models for Link Stealing Attacks Against Graph Neural Networks. CoRR abs/2406.16963 (2024) - [i482]Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu:
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR abs/2407.00615 (2024) - [i481]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR abs/2407.18910 (2024) - [i480]Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu:
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. CoRR abs/2407.19354 (2024) - [i479]Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu:
Personalized Multi-task Training for Recommender System. CoRR abs/2407.21364 (2024) - [i478]Yujie Feng, Xu Chu, Yongxin Xu, Zexin Lu, Bo Liu, Philip S. Yu, Xiao-Ming Wu:
TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning. CoRR abs/2408.05200 (2024) - [i477]Wendi Chen, Wensheng Gan, Philip S. Yu:
Digital Fingerprinting on Multimedia: A Survey. CoRR abs/2408.14155 (2024) - [i476]Yuqing Liang, Jiancheng Xiao, Wensheng Gan, Philip S. Yu:
Watermarking Techniques for Large Language Models: A Survey. CoRR abs/2409.00089 (2024) - [i475]Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu:
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. CoRR abs/2409.00614 (2024) - [i474]Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu:
WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents. CoRR abs/2409.05112 (2024) - [i473]Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu:
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. CoRR abs/2409.10102 (2024) - [i472]Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu:
Can Watermarked LLMs be Identified by Users via Crafted Prompts? CoRR abs/2410.03168 (2024) - [i471]Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao:
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. CoRR abs/2410.04350 (2024) - [i470]Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen:
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR abs/2410.04509 (2024) - [i469]Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu:
Item Cluster-aware Prompt Learning for Session-based Recommendation. CoRR abs/2410.04756 (2024) - [i468]Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King:
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. CoRR abs/2410.05352 (2024) - [i467]Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong:
FedGraph: A Research Library and Benchmark for Federated Graph Learning. CoRR abs/2410.06340 (2024) - [i466]Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu:
BANGS: Game-Theoretic Node Selection for Graph Self-Training. CoRR abs/2410.09348 (2024) - [i465]Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding, Yue Zhao:
LEGO-Learn: Label-Efficient Graph Open-Set Learning. CoRR abs/2410.16386 (2024) - [i464]Li Sun, Zhenhao Huang
, Qiqi Wan, Hao Peng, Philip S. Yu:
Spiking Graph Neural Network on Riemannian Manifolds. CoRR abs/2410.17941 (2024) - [i463]Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu:
Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data. CoRR abs/2410.21523 (2024) - [i462]Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary:
Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages. CoRR abs/2411.02398 (2024) - [i461]Tao Zhang, Ning Yan, Masood Mortazavi, Hoang H. Nguyen, Zhongfen Deng, Philip S. Yu:
Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning. CoRR abs/2411.02864 (2024) - [i460]Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Pengjun Xie, Philip S. Yu, Fei Huang, Jingren Zhou:
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent. CoRR abs/2411.02937 (2024) - [i459]Mengmeng Yang, Tianqing Zhu, Chi Liu, Wanlei Zhou, Shui Yu, Philip S. Yu:
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook. CoRR abs/2411.07691 (2024) - [i458]Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang:
InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR abs/2411.09852 (2024) - [i457]Xiaolong Liu, Zhichen Zeng, Xiaoyi Liu, Siyang Yuan, Weinan Song, Mengyue Hang, Yiqun Liu, Chaofei Yang, Donghyun Kim, Wen-Yen Chen, Jiyan Yang, Yiping Han, Rong Jin, Bo Long, Hanghang Tong, Philip S. Yu:
A Collaborative Ensemble Framework for CTR Prediction. CoRR abs/2411.13700 (2024) - [i456]Diandian Guo
, Cong Cao
, Fangfang Yuan
, Yanbing Liu
, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu:
Multi-View Incongruity Learning for Multimodal Sarcasm Detection. CoRR abs/2412.00756 (2024) - [i455]Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu:
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. CoRR abs/2412.00984 (2024) - [i454]Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu:
Can Large Language Models Serve as Evaluators for Code Summarization? CoRR abs/2412.01333 (2024) - [i453]Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu:
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. CoRR abs/2412.04276 (2024) - [i452]Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong:
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - [i451]Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu:
Structural Entropy Guided Probabilistic Coding. CoRR abs/2412.08841 (2024) - [i450]Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu:
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. CoRR abs/2412.10712 (2024) - [i449]Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu:
SocialED: A Python Library for Social Event Detection. CoRR abs/2412.13472 (2024) - [i448]Xuan Lin, Long Chen, Yile Wang, Xiangxiang Zeng, Philip S. Yu:
Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models. CoRR abs/2412.18084 (2024) - 2023
- [j528]Xuan Lin
, Lichang Dai, Yafang Zhou, Zu-Guo Yu
, Wen Zhang, Jian-Yu Shi
, Dong-Sheng Cao, Li Zeng, Haowen Chen
, Bosheng Song
, Philip S. Yu, Xiangxiang Zeng:
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. Briefings Bioinform. 24(4) (2023) - [j527]Shuai Zhou
, Chi Liu
, Dayong Ye
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
:
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Comput. Surv. 55(8): 163:1-163:39 (2023) - [j526]Guiling Li
, Shaolin Xu
, Senzhang Wang
, Philip S. Yu
:
Forest based on Interval Transformation (FIT): A time series classifier with adaptive features. Expert Syst. Appl. 213(Part C): 118923 (2023) - [j525]Chengcheng Sun
, Zhixiao Wang, Xiaobin Rui, Philip S. Yu, Lichao Sun:
An in-depth study on key nodes in social networks. Intell. Data Anal. 27(6): 1811-1838 (2023) - [j524]Chuanren Liu
, Ehsan Fakharizadi, Tong Xu, Philip S. Yu:
Recent advances in domain-driven data mining. Int. J. Data Sci. Anal. 15(1): 1-7 (2023) - [j523]Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He:
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. Neurocomputing 526: 109-120 (2023) - [j522]Junsan Zhang, Xiaomin Wang, Yao Wan, Leiquan Wang, Jian Wang
, Philip S. Yu:
SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition. Neurocomputing 533: 191-205 (2023) - [j521]Jiayi Sun, Wensheng Gan
, Han-Chieh Chao
, Philip S. Yu
, Weiping Ding
:
Internet of Behaviors: A Survey. IEEE Internet Things J. 10(13): 11117-11134 (2023) - [j520]Yao Chen
, Wensheng Gan, Yongdong Wu, Philip S. Yu:
Privacy-preserving federated mining of frequent itemsets. Inf. Sci. 625: 504-520 (2023) - [j519]Tao Zhang, Tianqing Zhu
, Mengde Han, Fengwen Chen, Jing Li
, Wanlei Zhou, Philip S. Yu:
Fairness in graph-based semi-supervised learning. Knowl. Inf. Syst. 65(2): 543-570 (2023) - [j518]Xingcheng Fu
, Jianxin Li
, Jia Wu
, Jiawen Qin, Qingyun Sun
, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - [j517]Huan Tian
, Bo Liu
, Tianqing Zhu
, Wanlei Zhou, Philip S. Yu
:
CIFair: Constructing continuous domains of invariant features for image fair classifications. Knowl. Based Syst. 268: 110417 (2023) - [j516]Tao Zhang, Tianqing Zhu
, Jing Li
, Wanlei Zhou, Philip S. Yu:
Revisiting model fairness via adversarial examples. Knowl. Based Syst. 277: 110777 (2023) - [j515]Zishuo Cheng
, Tianqing Zhu
, Congcong Zhu, Dayong Ye, Wanlei Zhou
, Philip S. Yu
:
Privacy and evolutionary cooperation in neural-network-based game theory. Knowl. Based Syst. 282: 111076 (2023) - [j514]Hao Peng
, Ruitong Zhang
, Shaoning Li
, Yuwei Cao
, Shirui Pan
, Philip S. Yu
:
Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 980-998 (2023) - [j513]Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu
, Mingsheng Long:
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2208-2225 (2023) - [j512]Jianxin Li
, Qingyun Sun
, Hao Peng
, Beining Yang, Jia Wu
, Philip S. Yu
:
Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8063-8080 (2023) - [j511]Yang Shu
, Zhangjie Cao
, Jinghan Gao
, Jianmin Wang
, Philip S. Yu
, Mingsheng Long
:
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15275-15291 (2023) - [j510]Wensheng Gan
, Jerry Chun-Wei Lin
, Han-Chieh Chao
, Philip S. Yu
:
Discovering High Utility Episodes in Sequences. IEEE Trans. Artif. Intell. 4(3): 473-486 (2023) - [j509]Tao Zhang
, Congying Xia
, Zhiwei Liu
, Shu Zhao
, Hao Peng
, Philip S. Yu
:
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 76:1-76:21 (2023) - [j508]Shu'ang Li
, Xuming Hu
, Li Lin, Aiwei Liu, Lijie Wen
, Philip S. Yu
:
A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1771-1783 (2023) - [j507]Xiao Wang
, Deyu Bo, Chuan Shi
, Shaohua Fan
, Yanfang Ye
, Philip S. Yu
:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data 9(2): 415-436 (2023) - [j506]Chunkai Zhang
, Quanjian Dai, Zilin Du, Wensheng Gan
, Jian Weng
, Philip S. Yu
:
TUSQ: Targeted High-Utility Sequence Querying. IEEE Trans. Big Data 9(2): 512-527 (2023) - [j505]Xuan Lin
, Zhe Quan
, Zhi-Jie Wang
, Yan Guo, Xiangxiang Zeng
, Philip S. Yu
:
Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 932-943 (2023) - [j504]Yan Kang
, Haining Wang, Bin Pu
, Liu Tao, Jianguo Chen, Philip S. Yu
:
A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1746-1760 (2023) - [j503]Tingting Liang
, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin
, Philip S. Yu
:
Transferring From Textual Entailment to Biomedical Named Entity Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2577-2586 (2023) - [j502]Ling Huang
, Chang-Dong Wang
, Philip S. Yu
:
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. 53(5): 3060-3074 (2023) - [j501]Li Sun
, Zhongbao Zhang
, Gen Li
, Pengxin Ji
, Sen Su
, Philip S. Yu
:
MC2: Unsupervised Multiple Social Network Alignment. ACM Trans. Intell. Syst. Technol. 14(4): 70:1-70:22 (2023) - [j500]Gengsen Huang
, Wensheng Gan
, Jian Weng
, Philip S. Yu
:
US-Rule: Discovering Utility-driven Sequential Rules. ACM Trans. Knowl. Discov. Data 17(1): 10:1-10:22 (2023) - [j499]Jie Yang
, Zhixiao Wang
, Xiaobin Rui
, Yahui Chai
, Philip S. Yu
, Lichao Sun
:
Triadic Closure Sensitive Influence Maximization. ACM Trans. Knowl. Discov. Data 17(6): 77:1-77:26 (2023) - [j498]Houye Ji
, Xiao Wang
, Chuan Shi
, Bai Wang, Philip S. Yu
:
Heterogeneous Graph Propagation Network. IEEE Trans. Knowl. Data Eng. 35(1): 521-532 (2023) - [j497]Jianxin Li
, Hao Peng
, Yuwei Cao
, Yingtong Dou, Hekai Zhang
, Philip S. Yu
, Lifang He
:
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(1): 560-574 (2023) - [j496]Di Jin
, Zhizhi Yu
, Pengfei Jiao
, Shirui Pan
, Dongxiao He
, Jia Wu
, Philip S. Yu
, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1149-1170 (2023) - [j495]Dongxiao He
, Tao Wang
, Lu Zhai, Di Jin
, Liang Yang
, Yuxiao Huang
, Zhiyong Feng
, Philip S. Yu
:
Adversarial Representation Mechanism Learning for Network Embedding. IEEE Trans. Knowl. Data Eng. 35(2): 1200-1213 (2023) - [j494]Qiaomin Yi, Ning Yang
, Philip S. Yu
:
Dual Adversarial Variational Embedding for Robust Recommendation. IEEE Trans. Knowl. Data Eng. 35(2): 1421-1433 (2023) - [j493]Lu Bai
, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu
, Edwin R. Hancock
:
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. 35(2): 1747-1760 (2023) - [j492]Shu Zhao
, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang
, Philip S. Yu
:
Hierarchical Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2641-2656 (2023) - [j491]Hao Peng
, Jianxin Li
, Zheng Wang
, Renyu Yang
, Mingsheng Liu, Mingming Zhang
, Philip S. Yu
, Lifang He
:
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. IEEE Trans. Knowl. Data Eng. 35(3): 2765-2780 (2023) - [j490]Pinghua Xu
, Wenbin Hu
, Jia Wu
, Weiwei Liu
, Yang Yang, Philip S. Yu
:
Signed Network Representation by Preserving Multi-Order Signed Proximity. IEEE Trans. Knowl. Data Eng. 35(3): 3087-3100 (2023) - [j489]Zhenyu Qiu
, Jia Wu
, Wenbin Hu
, Bo Du
, Guocai Yuan, Philip S. Yu
:
Temporal Link Prediction With Motifs for Social Networks. IEEE Trans. Knowl. Data Eng. 35(3): 3145-3158 (2023) - [j488]Lefeng Zhang
, Tianqing Zhu
, Ping Xiong, Wanlei Zhou
, Philip S. Yu
:
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(4): 3333-3346 (2023) - [j487]Di Jin
, Zhizhi Yu
, Dongxiao He
, Carl Yang, Philip S. Yu
, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35(4): 3925-3937 (2023) - [j486]Xusheng Zhao, Qiong Dai
, Jia Wu
, Hao Peng
, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang
, Philip S. Yu
:
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation. IEEE Trans. Knowl. Data Eng. 35(4): 4077-4091 (2023) - [j485]Xiaoming Liu
, Zhanwei Zhang, Lingjuan Lyu
, Zhaohan Zhang, Shuai Xiao, Chao Shen
, Philip S. Yu
:
Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5356-5370 (2023) - [j484]Li Sun
, Zhongbao Zhang
, Feiyang Wang, Pengxin Ji, Jian Wen, Sen Su
, Philip S. Yu
:
Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder. IEEE Trans. Knowl. Data Eng. 35(6): 5597-5611 (2023) - [j483]Jiyue Li, Senzhang Wang
, Jiaqiang Zhang
, Hao Miao, Junbo Zhang
, Philip S. Yu
:
Fine-Grained Urban Flow Inference With Incomplete Data. IEEE Trans. Knowl. Data Eng. 35(6): 5851-5864 (2023) - [j482]Yixin Liu, Ming Jin
, Shirui Pan
, Chuan Zhou
, Yu Zheng
, Feng Xia
, Philip S. Yu
:
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5879-5900 (2023) - [j481]Gaoyang Guo
, Chaokun Wang
, Bencheng Yan, Yunkai Lou
, Hao Feng
, Junchao Zhu, Jun Chen, Fei He
, Philip S. Yu
:
Learning Adaptive Node Embeddings Across Graphs. IEEE Trans. Knowl. Data Eng. 35(6): 6028-6042 (2023) - [j480]Tengfei Ma
, Xuan Lin
, Bosheng Song
, Philip S. Yu
, Xiangxiang Zeng
:
KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction. IEEE Trans. Knowl. Data Eng. 35(7): 7068-7081 (2023) - [j479]Daokun Zhang
, Jie Yin
, Philip S. Yu
:
Link Prediction with Contextualized Self-Supervision. IEEE Trans. Knowl. Data Eng. 35(7): 7138-7151 (2023) - [j478]Jie Xu
, Yazhou Ren
, Huayi Tang, Zhimeng Yang
, Lili Pan, Yang Yang
, Xiaorong Pu
, Philip S. Yu
, Lifang He
:
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35(7): 7470-7482 (2023) - [j477]Lichao Sun
, Yingtong Dou, Carl Yang
, Kai Zhang
, Ji Wang
, Philip S. Yu
, Lifang He, Bo Li:
Adversarial Attack and Defense on Graph Data: A Survey. IEEE Trans. Knowl. Data Eng. 35(8): 7693-7711 (2023) - [j476]Jindong Wang
, Cuiling Lan
, Chang Liu, Yidong Ouyang, Tao Qin
, Wang Lu
, Yiqiang Chen
, Wenjun Zeng
, Philip S. Yu
:
Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Trans. Knowl. Data Eng. 35(8): 8052-8072 (2023) - [j475]Tingting Liang
, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin
, Liang Chen
, Philip S. Yu
:
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. IEEE Trans. Knowl. Data Eng. 35(9): 9407-9420 (2023) - [j474]Yang Gao
, Peng Zhang
, Chuan Zhou
, Hong Yang, Zhao Li
, Yue Hu
, Philip S. Yu
:
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9448-9461 (2023) - [j473]Ziwen Du, Ning Yang
, Zhonghua Yu, Philip S. Yu
:
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(10): 9824-9835 (2023) - [j472]Chaozhuo Li
, Senzhang Wang
, Jie Xu
, Zheng Liu
, Hao Wang
, Xing Xie
, Lei Chen
, Philip S. Yu
:
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10166-10180 (2023) - [j471]Lefeng Zhang
, Tianqing Zhu
, Ping Xiong
, Wanlei Zhou
, Philip S. Yu
:
A Game-Theoretic Federated Learning Framework for Data Quality Improvement. IEEE Trans. Knowl. Data Eng. 35(11): 10952-10966 (2023) - [j470]Jianxin Li
, Xingcheng Fu
, Shijie Zhu, Hao Peng
, Senzhang Wang
, Qingyun Sun
, Philip S. Yu
, Lifang He
:
A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11004-11018 (2023) - [j469]Yicong Li
, Hongxu Chen
, Yile Li
, Lin Li
, Philip S. Yu
, Guandong Xu
:
Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11801-11814 (2023) - [j468]Jianxin Li, Lifang He
, Hao Peng
, Peng Cui
, Charu C. Aggarwal
, Philip S. Yu
:
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications. IEEE Trans. Knowl. Data Eng. 35(12): 11982-11983 (2023) - [j467]Mengzhu Sun
, Xi Zhang
, Jianqiang Ma
, Sihong Xie
, Yazheng Liu
, Philip S. Yu
:
Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12736-12749 (2023) - [j466]Bao-Yu Liu
, Ling Huang
, Chang-Dong Wang
, Jian-Huang Lai
, Philip S. Yu
:
Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. 34(2): 973-986 (2023) - [j465]Qi Wang, Weiliang Zhao
, Jian Yang
, Jia Wu
, Shan Xue
, Qianli Xing, Philip S. Yu
:
C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2767-2780 (2023) - [j464]Tao Zhang
, Tianqing Zhu
, Kun Gao, Wanlei Zhou
, Philip S. Yu
:
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5557-5569 (2023) - [j463]Dayong Ye
, Tianqing Zhu
, Congcong Zhu
, Wanlei Zhou, Philip S. Yu
:
Model-Based Self-Advising for Multi-Agent Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7934-7945 (2023) - [j462]Zhi-Hong Deng
, Chang-Dong Wang
, Ling Huang
, Jian-Huang Lai
, Philip S. Yu
:
G3SR: Global Graph Guided Session-Based Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9671-9684 (2023) - [j461]Yiqi Wang
, Chaozhuo Li
, Zheng Liu
, Mingzheng Li
, Jiliang Tang
, Xing Xie
, Lei Chen
, Philip S. Yu
:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41(2): 43:1-43:27 (2023) - [j460]Tianqing Zhu
, Dayong Ye
, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
:
Learning Games for Defending Advanced Persistent Threats in Cyber Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2410-2422 (2023) - [j459]Hao Peng
, Jian Yang
, Jia Wu
, Philip S. Yu
:
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1. ACM Trans. Web 17(3): 14:1-14:2 (2023) - [c1049]Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu:
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. AAAI 2023: 4633-4642 - [c1048]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI 2023: 4643-4651 - [c1047]Jiangshu Du, Wenpeng Yin
, Congying Xia, Philip S. Yu:
Learning to Select from Multiple Options. AAAI 2023: 12754-12762 - [c1046]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) 2023: 303-311 - [c1045]Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen:
AMR-based Network for Aspect-based Sentiment Analysis. ACL (1) 2023: 322-337 - [c1044]Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen:
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. ACL (Findings) 2023: 1361-1374 - [c1043]Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu:
Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) 2023: 3786-3800 - [c1042]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. ACL (Findings) 2023: 9072-9087 - [c1041]Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu:
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration. ACL (Findings) 2023: 9163-9175 - [c1040]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) 2023: 10221-10234 - [c1039]Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. IEEE Big Data 2023: 304-314 - [c1038]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. IEEE Big Data 2023: 393-402 - [c1037]Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. IEEE Big Data 2023: 483-492 - [c1036]Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu:
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. IEEE Big Data 2023: 636-645 - [c1035]Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu:
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. IEEE Big Data 2023: 1087-1094 - [c1034]Jiayang Wu, Wensheng Gan, Zefeng Chen
, Shicheng Wan, Philip S. Yu:
Multimodal Large Language Models: A Survey. IEEE Big Data 2023: 2247-2256 - [c1033]Hong Lin, Zirun Gan, Wensheng Gan, Zhenlian Qi, Yuehua Wang, Philip S. Yu:
Interaction in Metaverse: A Survey. IEEE Big Data 2023: 2473-2482 - [c1032]Wensheng Gan, Shicheng Wan, Philip S. Yu:
Model-as-a-Service (MaaS): A Survey. IEEE Big Data 2023: 4636-4645 - [c1031]Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-View Graph Convolution for Participant Recommendation. IEEE Big Data 2023: 5647-5656 - [c1030]Hong Lin, Wensheng Gan, Gengsen Huang, Philip S. Yu:
USER: Towards High-Utility Sequential Rules with Repetitive Items. IEEE Big Data 2023: 5977-5986 - [c1029]Ziwei Fan
, Zhiwei Liu
, Shelby Heinecke
, Jianguo Zhang
, Huan Wang
, Caiming Xiong
, Philip S. Yu
:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM 2023: 483-493 - [c1028]Hsu-Chao Lai
, Philip S. Yu
, Jiun-Long Huang
:
Learning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations. CIKM 2023: 1158-1167 - [c1027]Xi Wu
, Liangwei Yang
, Jibing Gong
, Chao Zhou
, Tianyu Lin
, Xiaolong Liu
, Philip S. Yu
:
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CIKM 2023: 2785-2794 - [c1026]Mingdai Yang
, Zhiwei Liu
, Liangwei Yang
, Xiaolong Liu
, Chen Wang
, Hao Peng
, Philip S. Yu
:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CIKM 2023: 2969-2979 - [c1025]Liangwei Yang
, Zhiwei Liu
, Chen Wang
, Mingdai Yang
, Xiaolong Liu
, Jing Ma
, Philip S. Yu
:
Graph-based Alignment and Uniformity for Recommendation. CIKM 2023: 4395-4399 - [c1024]Lin Meng, Xiaonan Zhang, Jiawei Zhang, Philip S. Yu:
Location-Adaptive Generative Graph Augmentation for Fraud Detection. CogMI 2023: 24-30 - [c1023]Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu:
Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. DASFAA (4) 2023: 266-275 - [c1022]Yahui Chai
, Xiaobin Rui
, Jie Yang
, Philip S. Yu
, Zhixiao Wang
:
A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation. DASFAA (3) 2023: 341-350 - [c1021]Zefeng Chen
, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu:
Towards Contiguous Sequences in Uncertain Data. DSAA 2023: 1-10 - [c1020]Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu:
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. EMNLP 2023: 12109-12119 - [c1019]Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen
, Philip S. Yu:
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. ICASSP 2023: 1-5 - [c1018]Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang
, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen:
Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting. ICDE 2023: 2510-2523 - [c1017]Li Sun, Zhenhao Huang
, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu:
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. ICDM 2023: 558-567 - [c1016]Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He:
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. ICDM 2023: 768-777 - [c1015]Zheng Liu, Xiaohan Li, Philip S. Yu:
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder. ICDM 2023: 1175-1180 - [c1014]Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu:
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. ICDM 2023: 1445-1450 - [c1013]Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. ICDM (Workshops) 2023: 1516-1525 - [c1012]Fanlong Zeng, Wensheng Gan, Yongheng Wang, Philip S. Yu:
Distributed Training of Large Language Models. ICPADS 2023: 840-847 - [c1011]Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu:
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. IJCAI 2023: 2296-2305 - [c1010]Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu:
Hierarchical State Abstraction based on Structural Information Principles. IJCAI 2023: 4549-4557 - [c1009]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu:
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. IJCNLP (Findings) 2023: 1-12 - [c1008]Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu:
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. IJCNLP (Findings) 2023: 13-19 - [c1007]Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu:
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. IJCNLP (2) 2023: 131-138 - [c1006]Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu
, Sihong Xie, Philip S. Yu, Xi Zhang:
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. IJCNN 2023: 1-9 - [c1005]Siddharth Bhatia
, Mohit Wadhwa
, Kenji Kawaguchi
, Neil Shah
, Philip S. Yu
, Bryan Hooi
:
Sketch-Based Anomaly Detection in Streaming Graphs. KDD 2023: 93-104 - [c1004]Yu Wang
, Zhengyang Wang
, Hengrui Zhang
, Qingyu Yin
, Xianfeng Tang
, Yinghan Wang
, Danqing Zhang
, Limeng Cui
, Monica Xiao Cheng
, Bing Yin
, Suhang Wang
, Philip S. Yu
:
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD 2023: 5162-5173 - [c1003]Chuishi Meng
, Yanhua Li
, Yu Zheng
, Jieping Ye
, Qiang Yang, Philip S. Yu
, Ouri Wolfson
:
The 12th International Workshop on Urban Computing. KDD 2023: 5874-5875 - [c1002]Xuming Hu
, Junzhe Chen
, Aiwei Liu
, Shiao Meng
, Lijie Wen
, Philip S. Yu
:
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. ACM Multimedia 2023: 5185-5194 - [c1001]Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu:
Equal Opportunity of Coverage in Fair Regression. NeurIPS 2023 - [c1000]Yuwei Cao
, Liangwei Yang
, Chen Wang
, Zhiwei Liu
, Hao Peng
, Chenyu You
, Philip S. Yu
:
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. RecSys 2023: 322-333 - [c999]Jia-Hao Syu
, Jerry Chun-Wei Lin, Philip S. Yu:
Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making. SDM 2023: 397-405 - [c998]Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu:
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. SIGDIAL 2023: 470-481 - [c997]Yibo Wang
, Yanbing Xue
, Bo Liu
, Musen Wen
, Wenting Zhao, Stephen D. Guo
, Philip S. Yu
:
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. SIGIR 2023: 1884-1888 - [c996]Ziwei Fan
, Ke Xu
, Zhang Dong
, Hao Peng
, Jiawei Zhang
, Philip S. Yu
:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR 2023: 2037-2041 - [c995]Xuming Hu
, Zhaochen Hong
, Zhijiang Guo
, Lijie Wen
, Philip S. Yu
:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR 2023: 2319-2323 - [c994]Xuming Hu
, Junzhe Chen
, Shiao Meng
, Lijie Wen
, Philip S. Yu
:
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. SIGIR 2023: 2364-2368 - [c993]Xuming Hu
, Zhaochen Hong
, Chenwei Zhang
, Irwin King
, Philip S. Yu
:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR 2023: 2436-2440 - [c992]Xuming Hu
, Zhijiang Guo
, Junzhe Chen
, Lijie Wen
, Philip S. Yu
:
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR 2023: 2901-2912 - [c991]Liangwei Yang
, Shengjie Wang
, Yunzhe Tao
, Jiankai Sun
, Xiaolong Liu
, Philip S. Yu
, Taiqing Wang
:
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM 2023: 661-669 - [c990]Mingdai Yang
, Zhiwei Liu
, Liangwei Yang
, Xiaolong Liu
, Chen Wang
, Hao Peng
, Philip S. Yu
:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM 2023: 769-777 - [c989]Xiaosu Wang
, Yun Xiong
, Beichen Kang
, Yao Zhang
, Philip S. Yu
, Yangyong Zhu
:
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. WSDM 2023: 904-912 - [c988]Cheng Ji
, Jianxin Li
, Hao Peng
, Jia Wu
, Xingcheng Fu
, Qingyun Sun
, Philip S. Yu
:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM 2023: 922-930 - [c987]Xixi Wu
, Yun Xiong
, Yao Zhang
, Yizhu Jiao
, Jiawei Zhang
, Yangyong Zhu
, Philip S. Yu
:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. WWW 2023: 240-250 - [c986]Cheng Yang
, Xumeng Gong
, Chuan Shi
, Philip S. Yu
:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. WWW 2023: 251-262 - [c985]Dongcheng Zou
, Hao Peng
, Xiang Huang
, Renyu Yang
, Jianxin Li
, Jia Wu
, Chunyang Liu
, Philip S. Yu
:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. WWW 2023: 499-510 - [c984]Hsi-Wen Chen
, De-Nian Yang
, Wang-Chien Lee
, Philip S. Yu
, Ming-Syan Chen
:
CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion. WWW 2023: 545-555 - [c983]Wensheng Gan
, Zhenqiang Ye
, Shicheng Wan
, Philip S. Yu
:
Web 3.0: The Future of Internet. WWW (Companion Volume) 2023: 1266-1275 - [c982]Ziwei Fan
, Zhiwei Liu
, Hao Peng
, Philip S. Yu
:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW 2023: 1375-1385 - [c981]Haoran Wang
, Yingtong Dou
, Canyu Chen
, Lichao Sun
, Philip S. Yu
, Kai Shu
:
Attacking Fake News Detectors via Manipulating News Social Engagement. WWW 2023: 3978-3986 - [c980]Jing Ma
, Liangwei Yang
, Qiong Feng
, Weizhi Zhang
, Philip S. Yu
:
Graph-based Village Level Poverty Identification. WWW 2023: 4115-4119 - [i447]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR abs/2301.00015 (2023) - [i446]Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu:
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. CoRR abs/2301.03780 (2023) - [i445]Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu:
Provable Unrestricted Adversarial Training without Compromise with Generalizability. CoRR abs/2301.09069 (2023) - [i444]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR abs/2301.12104 (2023) - [i443]Ziwei Fan
, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. CoRR abs/2301.12197 (2023) - [i442]Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR abs/2302.00109 (2023) - [i441]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR abs/2302.03555 (2023) - [i440]Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao:
Weakly Supervised Anomaly Detection: A Survey. CoRR abs/2302.04549 (2023) - [i439]Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu:
Graph-based Village Level Poverty Identification. CoRR abs/2302.06862 (2023) - [i438]Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun
, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR abs/2302.07363 (2023) - [i437]Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i436]Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun:
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR abs/2303.04226 (2023) - [i435]Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. CoRR abs/2303.09778 (2023) - [i434]Aiwei Liu, Xuming Hu, Lijie Wen
, Philip S. Yu:
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR abs/2303.13547 (2023) - [i433]Cheng Yang
, Xumeng Gong, Chuan Shi, Philip S. Yu:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. CoRR abs/2304.00698 (2023) - [i432]Yao Chen, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu:
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy. CoRR abs/2304.01689 (2023) - [i431]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR abs/2304.03344 (2023) - [i430]Wensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu:
Web 3.0: The Future of Internet. CoRR abs/2304.06032 (2023) - [i429]Shicheng Wan, Hong Lin, Wensheng Gan, Jiahui Chen, Philip S. Yu:
Web3: The Next Internet Revolution. CoRR abs/2304.06111 (2023) - [i428]Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
Conditional Denoising Diffusion for Sequential Recommendation. CoRR abs/2304.11433 (2023) - [i427]Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu:
Hierarchical State Abstraction Based on Structural Information Principles. CoRR abs/2304.12000 (2023) - [i426]Zefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu:
Open Metaverse: Issues, Evolution, and Future. CoRR abs/2304.13931 (2023) - [i425]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR abs/2305.03503 (2023) - [i424]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen
, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR abs/2305.03507 (2023) - [i423]Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu:
Contrastive Graph Clustering in Curvature Spaces. CoRR abs/2305.03555 (2023) - [i422]Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu:
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. CoRR abs/2305.07266 (2023) - [i421]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR abs/2305.07633 (2023) - [i420]Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen:
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. CoRR abs/2305.12761 (2023) - [i419]Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu:
Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR abs/2305.16128 (2023) - [i418]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR abs/2305.16166 (2023) - [i417]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR abs/2305.16663 (2023) - [i416]Liangqi Yuan, Lichao Sun, Philip S. Yu, Ziran Wang:
Decentralized Federated Learning: A Survey and Perspective. CoRR abs/2306.01603 (2023) - [i415]Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu:
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection. CoRR abs/2306.02137 (2023) - [i414]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Machine Unlearning: A Survey. CoRR abs/2306.03558 (2023) - [i413]Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. CoRR abs/2306.05257 (2023) - [i412]Zefeng Chen, Wensheng Gan, Gengsen Huang, Zhenlian Qi, Yan Li, Philip S. Yu:
TALENT: Targeted Mining of Non-overlapping Sequential Patterns. CoRR abs/2306.06470 (2023) - [i411]Yue Huang, Qihui Zhang, Philip S. Yu, Lichao Sun:
TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models. CoRR abs/2306.11507 (2023) - [i410]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. CoRR abs/2306.11986 (2023) - [i409]Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu:
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. CoRR abs/2306.14123 (2023) - [i408]Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu:
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. CoRR abs/2306.14462 (2023) - [i407]Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu:
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CoRR abs/2306.15905 (2023) - [i406]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang
, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang
, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i405]Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu:
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration. CoRR abs/2307.04361 (2023) - [i404]Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu:
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. CoRR abs/2307.16060 (2023) - [i403]Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen
, Irwin King, Philip S. Yu:
A Private Watermark for Large Language Models. CoRR abs/2307.16230 (2023) - [i402]Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu:
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. CoRR abs/2308.04712 (2023) - [i401]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR abs/2308.08620 (2023) - [i400]Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu:
Graph-based Alignment and Uniformity for Recommendation. CoRR abs/2308.09292 (2023) - [i399]Zheng Liu, Xiaohan Li, Philip S. Yu:
Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder. CoRR abs/2308.11819 (2023) - [i398]Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu:
LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR abs/2308.12241 (2023) - [i397]Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. CoRR abs/2308.16375 (2023) - [i396]Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He:
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. CoRR abs/2309.01899 (2023) - [i395]Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu:
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. CoRR abs/2309.03563 (2023) - [i394]Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu:
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. CoRR abs/2309.11027 (2023) - [i393]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu:
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. CoRR abs/2309.11049 (2023) - [i392]Zheng Wang, Hongming Ding, Li Pan, Jianhua Li, Zhiguo Gong, Philip S. Yu:
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited. CoRR abs/2309.13599 (2023) - [i391]Chunkai Zhang, Maohua Lyu, Huaijin Hao, Wensheng Gan, Philip S. Yu:
Discovering Utility-driven Interval Rules. CoRR abs/2309.16102 (2023) - [i390]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen
, Philip S. Yu, Zhijiang Guo:
Do Large Language Models Know about Facts? CoRR abs/2310.05177 (2023) - [i389]Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu:
AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction. CoRR abs/2310.07137 (2023) - [i388]Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu:
Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. CoRR abs/2310.09400 (2023) - [i387]Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi:
Towards Graph Foundation Models: A Survey and Beyond. CoRR abs/2310.11829 (2023) - [i386]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. CoRR abs/2310.13253 (2023) - [i385]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Unified Pretraining for Recommendation via Task Hypergraphs. CoRR abs/2310.13286 (2023) - [i384]Hong Lin, Zirun Gan, Wensheng Gan, Zhenlian Qi, Yuehua Wang, Philip S. Yu:
Interaction in Metaverse: A Survey. CoRR abs/2310.13699 (2023) - [i383]Hoang H. Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu:
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. CoRR abs/2310.14623 (2023) - [i382]Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen
, Philip S. Yu:
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. CoRR abs/2310.16822 (2023) - [i381]Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu:
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection. CoRR abs/2310.19247 (2023) - [i380]Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz:
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. CoRR abs/2310.20170 (2023) - [i379]Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee:
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation. CoRR abs/2311.00306 (2023) - [i378]Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR abs/2311.00491 (2023) - [i377]Hao Niu, Yun Xiong, Xiaosu Wang, Philip S. Yu:
Joint Learning of Local and Global Features for Aspect-based Sentiment Classification. CoRR abs/2311.01030 (2023) - [i376]Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu
, Philip S. Yu:
Equal Opportunity of Coverage in Fair Regression. CoRR abs/2311.02243 (2023) - [i375]Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu:
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. CoRR abs/2311.04196 (2023) - [i374]Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu:
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. CoRR abs/2311.04292 (2023) - [i373]Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu
, Qinglang Guo, Philip S. Yu:
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. CoRR abs/2311.04467 (2023) - [i372]Wensheng Gan, Shicheng Wan, Philip S. Yu:
Model-as-a-Service (MaaS): A Survey. CoRR abs/2311.05804 (2023) - [i371]Fanlong Zeng, Wensheng Gan, Yongheng Wang, Ning Liu, Philip S. Yu:
Large Language Models for Robotics: A Survey. CoRR abs/2311.07226 (2023) - [i370]Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu:
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. CoRR abs/2311.08598 (2023) - [i369]Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. CoRR abs/2311.09577 (2023) - [i368]Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-view Graph Convolution for Participant Recommendation. CoRR abs/2311.12136 (2023) - [i367]Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu:
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. CoRR abs/2311.12329 (2023) - [i366]Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, Philip S. Yu:
Multimodal Large Language Models: A Survey. CoRR abs/2311.13165 (2023) - [i365]Jinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi, Philip S. Yu:
Large Language Models in Law: A Survey. CoRR abs/2312.03718 (2023) - [i364]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen
, Irwin King, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. CoRR abs/2312.07913 (2023) - [i363]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu:
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. CoRR abs/2312.10771 (2023) - [i362]Wei-Yao Wang
, Wen-Chih Peng, Wei Wang, Philip S. Yu:
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. CoRR abs/2312.10942 (2023) - [i361]Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu:
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. CoRR abs/2312.11152 (2023) - [i360]Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu:
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. CoRR abs/2312.11336 (2023) - [i359]Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu:
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. CoRR abs/2312.11891 (2023) - [i358]Zi-Feng Mai, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen, Philip S. Yu:
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. CoRR abs/2312.15851 (2023) - [i357]Kay Liu
, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu:
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models. CoRR abs/2312.17679 (2023) - 2022
- [b5]Chuan Shi, Xiao Wang, Philip S. Yu:
Heterogeneous Graph Representation Learning and Applications. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2022, ISBN 978-981-16-6165-5, pp. 1-318 - [j458]Mohammed A. Fouad
, Wedad Hussein, Sherine Rady
, Philip S. Yu
, Tarek F. Gharib
:
An Efficient Approach for Mining Reliable High Utility Patterns. IEEE Access 10: 1419-1431 (2022) - [j457]Mohammed A. Fouad
, Wedad Hussein, Sherine Rady
, Philip S. Yu
, Tarek F. Gharib
:
An Efficient Approach for Rational Next-Basket Recommendation. IEEE Access 10: 75657-75671 (2022) - [j456]Jiawei Liu
, Chuan Shi, Cheng Yang
, Zhiyuan Lu
, Philip S. Yu
:
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources. AI Open 3: 40-57 (2022) - [j455]Lefeng Zhang
, Tianqing Zhu, Ping Xiong, Wanlei Zhou
, Philip S. Yu:
More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design. ACM Comput. Surv. 54(7): 136:1-136:37 (2022) - [j454]Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu:
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19. ACM Comput. Surv. 54(8): 158:1-158:32 (2022) - [j453]Hongsheng Hu
, Zoran Salcic, Lichao Sun
, Gillian Dobbie, Philip S. Yu, Xuyun Zhang
:
Membership Inference Attacks on Machine Learning: A Survey. ACM Comput. Surv. 54(11s): 235:1-235:37 (2022) - [j452]Shirui Pan, Shaoxiong Ji
, Di Jin, Feng Xia, Philip S. Yu:
Guest Editorial: Graph-powered machine learning in future-generation computing systems. Future Gener. Comput. Syst. 126: 88-90 (2022) - [j451]Zishuo Cheng
, Dayong Ye
, Tianqing Zhu
, Wanlei Zhou
, Philip S. Yu
, Congcong Zhu:
Multi-agent reinforcement learning via knowledge transfer with differentially private noise. Int. J. Intell. Syst. 37(1): 799-828 (2022) - [j450]Shuai Gao, Zhongbao Zhang, Sen Su, Philip S. Yu:
REBORN: Transfer learning based social network alignment. Inf. Sci. 589: 265-282 (2022) - [j449]Boyan Wang
, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu
:
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. 238: 107882 (2022) - [j448]Rui Wang, Ning Yang
, Philip S. Yu
:
Learning aspect-level complementarity for intent-aware complementary recommendation. Knowl. Based Syst. 258: 109936 (2022) - [j447]Xusheng Zhao, Jia Wu
, Hao Peng, Amin Beheshti
, Jessica J. M. Monaghan
, David McAlpine
, Heivet Hernandez-Perez
, Mark Dras
, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154: 56-67 (2022) - [j446]Zhiyu Yao, Yunbo Wang
, Jianmin Wang
, Philip S. Yu
, Mingsheng Long
:
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7989-8004 (2022) - [j445]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
Heterogeneous Information Networks: the Past, the Present, and the Future. Proc. VLDB Endow. 15(12): 3807-3811 (2022) - [j444]Qian Li
, Hao Peng
, Jianxin Li
, Jia Wu
, Yuanxing Ning, Lihong Wang, Philip S. Yu
, Zheng Wang
:
Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations. IEEE ACM Trans. Audio Speech Lang. Process. 30: 520-533 (2022) - [j443]Qianren Mao
, Jianxin Li
, Chenghua Lin
, Congwen Chen, Hao Peng
, Lihong Wang
, Philip S. Yu
:
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 30: 622-634 (2022) - [j442]Qianren Mao
, Jianxin Li
, Hao Peng
, Shizhu He
, Lihong Wang
, Philip S. Yu
, Zheng Wang
:
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1665-1678 (2022) - [j441]