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En-Hong Chen
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- affiliation: University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- affiliation: University of Science and Technology of China, School of Data Science, Hefei, China
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2020 – today
- 2024
[j218]Yongzhang Wang, Defu Lian, Enhong Chen:
Event Assignment Based on KBQA for Government Service Hotlines. Appl. Artif. Intell. 38(1) (2024)- [j217]Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang
, Weibo Gao, Enhong Chen:
Understanding and improving fairness in cognitive diagnosis. Sci. China Inf. Sci. 67(5) (2024) - [j216]Yihang Lu, Xianwei Meng, Liqun Peng, Shucai Xu, Enhong Chen:
IODRNN - Incremental output decomposition for a valid traffic flow prediction with GNSS data. Eng. Appl. Artif. Intell. 128: 107520 (2024) - [j215]Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen:
A general tail item representation enhancement framework for sequential recommendation. Frontiers Comput. Sci. 18(6): 186333 (2024) - [j214]Lixiang Xu, Qingzhe Cui, Wei Xu, Enhong Chen, He Tong, Yuanyan Tang:
Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis. Inf. Fusion 103: 102131 (2024) - [j213]Suojuan Zhang, Jie Pu, Jing Cui, Shuanghong Shen, Weiwei Chen, Kun Hu, Enhong Chen:
MLC-DKT: A multi-layer context-aware deep knowledge tracing model. Knowl. Based Syst. 303: 112384 (2024) - [j212]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j211]Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Yiming Zhang, Hao Wang, Tong Xu, Enhong Chen:
DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition. IEEE Trans. Affect. Comput. 15(3): 1371-1386 (2024) - [j210]Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong:
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. IEEE Trans. Big Data 10(1): 35-54 (2024) - [j209]Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen:
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. IEEE Trans. Comput. Soc. Syst. 11(1): 1205-1215 (2024) - [j208]Weihao Zhao, Han Wu, Weidong He, Haoyang Bi, Hao Wang, Chen Zhu, Tong Xu, Enhong Chen:
Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2694-2705 (2024) - [j207]Penggang Qin, Shiwei Wu, Tong Xu, Yanbin Hao, Fuli Feng, Chen Zhu, Enhong Chen:
When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5160-5175 (2024) - [j206]Weidong He, Zhi Li, Hao Wang, Tong Xu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements. ACM Trans. Intell. Syst. Technol. 15(3): 45:1-45:25 (2024) - [j205]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen:
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [j204]Lixiang Xu, Zhanlong Wang, Suojuan Zhang, Xin Yuan, Minjuan Wang, Enhong Chen:
Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing. IEEE Trans. Learn. Technol. 17: 1390-1403 (2024) - [j203]Shuanghong Shen, Qi Liu, Zhenya Huang, Yonghe Zheng, Minghao Yin, Minjuan Wang, Enhong Chen:
A Survey of Knowledge Tracing: Models, Variants, and Applications. IEEE Trans. Learn. Technol. 17: 1898-1919 (2024) - [j202]Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen:
Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Trans. Multim. 26: 4097-4109 (2024) - [j201]Lixiang Xu, Qingzhe Cui, Richang Hong, Wei Xu, Enhong Chen, Xin Yuan, Chenglong Li, Yuanyan Tang:
Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding. IEEE Trans. Multim. 26: 9450-9463 (2024) - [j200]Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Trans. Inf. Syst. 42(2): 56:1-56:32 (2024) - [j199]Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen:
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. ACM Trans. Inf. Syst. 42(4): 110:1-110:28 (2024) - [j198]Yuanjie Lyu, Penggang Qin, Tong Xu, Chen Zhu, Enhong Chen:
InteractNet: Social Interaction Recognition for Semantic-rich Videos. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 240:1-240:21 (2024) - [j197]Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong:
Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5283-5295 (2024) - [j196]Pengfei Luo, Xi Zhu, Tong Xu, Yi Zheng, Enhong Chen:
Semantic Interaction Matching Network for Few-Shot Knowledge Graph Completion. ACM Trans. Web 18(2): 20:1-20:19 (2024) - [j195]Yanmin Chen, Enhong Chen, Kun Zhang, Qi Liu, Ruijun Sun:
A relation-aware representation approach for the question matching system. World Wide Web (WWW) 27(2): 17 (2024) - [j194]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen:
When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 27(4): 42 (2024) - [j193]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A survey on large language models for recommendation. World Wide Web (WWW) 27(5): 60 (2024) - [c446]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. AAAI 2024: 9178-9186 - [c445]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. AAAI 2024: 20596-20603 - [c444]Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Enhong Chen:
Generative Input: Towards Next-Generation Input Methods Paradigm. ACL (Findings) 2024: 3658-3669 - [c443]Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. ACL (Findings) 2024: 9851-9862 - [c442]Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu, Enhong Chen:
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models. ACL (1) 2024: 13250-13262 - [c441]Liu Che, Tong Xu, Qi Liu, Zhi Zheng, Jingyu Peng, Enhong Chen:
MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction. APWeb/WAIM (3) 2024: 224-239 - [c440]Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen:
MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction. LREC/COLING 2024: 11680-11691 - [c439]Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. LREC/COLING 2024: 11956-11968 - [c438]Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen:
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. ICASSP 2024: 10001-10005 - [c437]Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen:
Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations. ICDE 2024: 667-678 - [c436]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen, Jingyun Zhang:
Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts. ICIC (LNAI 4) 2024: 459-470 - [c435]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Locating and Mitigating Gender Bias in Large Language Models. ICIC (LNAI 4) 2024: 471-482 - [c434]Shifeng Liu, Xinglong Mao, Sirui Zhao, Chaoyou Fu, Ying Yu, Tong Xu, Enhong Chen:
TGMAE: Self-supervised Micro-Expression Recognition with Temporal Gaussian Masked Autoencoder. ICME 2024: 1-6 - [c433]Zihan Niu, Zheyong Xie, Tong Xu, Xiangfeng Wang, Yao Hu, Ying Yu, Enhong Chen:
Knowledge-Enhanced Multi-perspective Incongruity Perception Network for Multimodal Sarcasm Detection. ICME 2024: 1-6 - [c432]Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen:
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML 2024 - [c431]Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen:
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. ICML 2024 - [c430]Yan Gao, Tong Xu, Enhong Chen:
Are Mixture-of-Modality-Experts Transformers Robust to Missing Modality During Training and Inferring? Intelligent Information Processing (1) 2024: 157-172 - [c429]Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen:
When Box Meets Graph Neural Network in Tag-aware Recommendation. KDD 2024: 1770-1780 - [c428]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. KDD 2024: 3954-3965 - [c427]Chenxiao Liu, Zheyong Xie, Sirui Zhao, Jin Zhou, Tong Xu, Minglei Li, Enhong Chen:
Speak From Heart: An Emotion-Guided LLM-Based Multimodal Method for Emotional Dialogue Generation. ICMR 2024: 533-542 - [c426]Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang:
Graph-based Student Knowledge Profile for Online Intelligent Education. SDM 2024: 379-387 - [c425]Le Dai, Yu Yin, Enhong Chen, Hui Xiong:
Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification. SIGIR 2024: 2682-2686 - [c424]Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen:
GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas. WSDM 2024: 901-910 - [c423]Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu, Enhong Chen:
Large Language Model based Long-tail Query Rewriting in Taobao Search. WWW (Companion Volume) 2024: 20-28 - [c422]Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Enhong Chen:
NoteLLM: A Retrievable Large Language Model for Note Recommendation. WWW (Companion Volume) 2024: 170-179 - [c421]Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. WWW (Companion Volume) 2024: 1035-1038 - [c420]Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang:
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. WWW 2024: 1395-1406 - [c419]Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. WWW 2024: 1986-1997 - [c418]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW 2024: 3297-3306 - [c417]Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. WWW 2024: 3545-3554 - [i181]Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen:
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. CoRR abs/2401.10070 (2024) - [i180]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing Recommender System via Cooperative Training. CoRR abs/2401.12700 (2024) - [i179]Xiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen, Enhong Chen:
Masked Pre-trained Model Enables Universal Zero-shot Denoiser. CoRR abs/2401.14966 (2024) - [i178]Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen:
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models. CoRR abs/2401.17043 (2024) - [i177]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen:
Understanding the planning of LLM agents: A survey. CoRR abs/2402.02716 (2024) - [i176]Yuxuan Gu, Yi Jin, Ben Wang, Zhixiang Wei, Xiaoxiao Ma, Pengyang Ling, Haoxuan Wang, Huaian Chen, Enhong Chen:
Seed Optimization with Frozen Generator for Superior Zero-shot Low-light Enhancement. CoRR abs/2402.09694 (2024) - [i175]Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen:
Communication-Efficient Distributed Learning with Local Immediate Error Compensation. CoRR abs/2402.11857 (2024) - [i174]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. CoRR abs/2402.16312 (2024) - [i173]Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CoRR abs/2402.18099 (2024) - [i172]Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu:
Towards Generalist Prompting for Large Language Models by Mental Models. CoRR abs/2402.18252 (2024) - [i171]Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Di Wu, Enhong Chen:
NoteLLM: A Retrievable Large Language Model for Note Recommendation. CoRR abs/2403.01744 (2024) - [i170]Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. CoRR abs/2403.01972 (2024) - [i169]Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang:
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. CoRR abs/2403.06071 (2024) - [i168]Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li:
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR abs/2403.07623 (2024) - [i167]Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. CoRR abs/2403.08305 (2024) - [i166]Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen:
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. CoRR abs/2403.08826 (2024) - [i165]Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. CoRR abs/2403.09712 (2024) - [i164]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Editing Knowledge Representation of Language Lodel via Rephrased Prefix Prompts. CoRR abs/2403.14381 (2024) - [i163]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Locating and Mitigating Gender Bias in Large Language Models. CoRR abs/2403.14409 (2024) - [i162]Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. CoRR abs/2403.14676 (2024) - [i161]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR abs/2403.17603 (2024) - [i160]Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. CoRR abs/2404.00268 (2024) - [i159]Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen:
Survey of Computerized Adaptive Testing: A Machine Learning Perspective. CoRR abs/2404.00712 (2024) - [i158]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen:
WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR abs/2404.07456 (2024) - [i157]Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen:
Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR abs/2404.16587 (2024) - [i156]Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen:
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. CoRR abs/2405.06232 (2024) - [i155]Ziwei Zhao, Fake Lin, Xi Zhu, Zhi Zheng, Tong Xu, Shitian Shen, Xueying Li, Zikai Yin, Enhong Chen:
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation. CoRR abs/2405.07580 (2024) - [i154]Fake Lin, Xi Zhu, Ziwei Zhao, Deqiang Huang, Yu Yu, Xueying Li, Tong Xu, Enhong Chen:
Knowledge Graph Pruning for Recommendation. CoRR abs/2405.11531 (2024) - [i153]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen:
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. CoRR abs/2405.12473 (2024) - [i152]Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Yan Gao, Yao Hu, Enhong Chen:
NoteLLM-2: Multimodal Large Representation Models for Recommendation. CoRR abs/2405.16789 (2024) - [i151]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. CoRR abs/2405.17795 (2024) - [i150]Runlong Yu, Qixiang Shao, Qi Liu, Huan Liu, Enhong Chen:
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems. CoRR abs/2405.18708 (2024) - [i149]Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun:
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR abs/2405.21075 (2024) - [i148]Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang:
EduNLP: Towards a Unified and Modularized Library for Educational Resources. CoRR abs/2406.01276 (2024) - [i147]Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen:
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. CoRR abs/2406.03085 (2024) - [i146]Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Yao Hu, Enhong Chen:
From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition. CoRR abs/2406.08358 (2024) - [i145]Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen:
When Box Meets Graph Neural Network in Tag-aware Recommendation. CoRR abs/2406.12020 (2024) - [i144]Xiangfeng Wang, Zaiyi Chen, Zheyong Xie, Tong Xu, Yongyi He, Enhong Chen:
In-Context Former: Lightning-fast Compressing Context for Large Language Model. CoRR abs/2406.13618 (2024) - [i143]Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen:
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation. CoRR abs/2406.14979 (2024) - [i142]Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen:
Foundations and Frontiers of Graph Learning Theory. CoRR abs/2407.03125 (2024) - [i141]Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen:
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions. CoRR abs/2407.05458 (2024) - [i140]Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR abs/2407.06645 (2024) - [i139]Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection. CoRR abs/2407.08952 (2024) - [i138]Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen:
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. CoRR abs/2407.08967 (2024) - [i137]Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CoRR abs/2407.16160 (2024) - [i136]Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen:
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models. CoRR abs/2407.20271 (2024) - [i135]Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen:
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. CoRR abs/2408.03149 (2024) - [i134]