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- affiliation: University of Illinois at Chicago
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2020 – today
- 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- [j430]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) - [j429]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) - [j428]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) - [j427]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) - [j426]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) - [j425]Shuai Gao, Zhongbao Zhang, Sen Su, Philip S. Yu:
REBORN: Transfer learning based social network alignment. Inf. Sci. 589: 265-282 (2022) - [j424]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) - [j423]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) - [j422]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) - [j421]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) - [j420]Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, Lifang He, Philip S. Yu, Albert Y. Zomaya, Rajiv Ranjan:
Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Trans. Computers 71(3): 628-642 (2022) - [j419]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-Like Problems. IEEE Trans. Dependable Secur. Comput. 19(2): 1212-1226 (2022) - [j418]Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He:
A Survey on Text Classification: From Traditional to Deep Learning. ACM Trans. Intell. Syst. Technol. 13(2): 31:1-31:41 (2022) - [j417]Chunkai Zhang, Zilin Du, Yuting Yang, Wensheng Gan, Philip S. Yu:
On-Shelf Utility Mining of Sequence Data. ACM Trans. Knowl. Discov. Data 16(2): 21:1-21:31 (2022) - [j416]Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Yuanfa Li, Philip S. Yu:
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model. ACM Trans. Knowl. Discov. Data 16(3): 60:1-60:26 (2022) - [j415]Yali Gao, Xiaoyong Li, Hao Peng, Binxing Fang, Philip S. Yu:
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. 34(2): 708-722 (2022) - [j414]Shengli Sun, Weiping Li, Yimo Wang, Weilong Liao, Philip S. Yu:
Continuous Monitoring of Maximum Clique Over Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 34(4): 1667-1683 (2022) - [j413]Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu:
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. IEEE Trans. Knowl. Data Eng. 34(4): 1763-1774 (2022) - [j412]Hao Chen, Chenwei Zhang, Jun Li, Philip S. Yu, Ning Jing:
KGGen: A Generative Approach for Incipient Knowledge Graph Population. IEEE Trans. Knowl. Data Eng. 34(5): 2254-2267 (2022) - [j411]Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu:
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. IEEE Trans. Knowl. Data Eng. 34(6): 2824-2843 (2022) - [j410]Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. IEEE Trans. Neural Networks Learn. Syst. 33(2): 494-514 (2022) - [j409]Xiao Pan, Shili Nie, Haibo Hu, Philip S. Yu, Jingfeng Guo:
Reverse Nearest Neighbor Search in Semantic Trajectories for Location-Based Services. IEEE Trans. Serv. Comput. 15(2): 986-999 (2022) - [j408]Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu:
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention. IEEE Trans. Software Eng. 48(2): 102-119 (2022) - [c935]Yi Xie, Yun Xiong, Yangyong Zhu, Philip S. Yu, Cheng Jin, Qiang Wang, Haihong Li:
Concurrent Transformer for Spatial-Temporal Graph Modeling. DASFAA (3) 2022: 314-321 - [c934]Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang:
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction. WSDM 2022: 363-371 - [c933]Xiaoyun Zhao, Ning Yang, Philip S. Yu:
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. WSDM 2022: 1452-1460 - [c932]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. WWW 2022: 1238-1247 - [c931]Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. WWW 2022: 2036-2047 - [c930]Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu:
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. WWW 2022: 3376-3386 - [i319]Ziwen Du, Ning Yang, Zhonghua Yu, Philip S. Yu:
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning. CoRR abs/2201.05970 (2022) - [i318]Xiaoyun Zhao, Ning Yang, Philip S. Yu:
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. CoRR abs/2201.05973 (2022) - [i317]Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. CoRR abs/2201.06035 (2022) - [i316]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. CoRR abs/2201.07409 (2022) - [i315]Daokun Zhang, Jie Yin, Philip S. Yu:
Link Prediction with Contextualized Self-Supervision. CoRR abs/2201.10069 (2022) - [i314]Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu:
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. CoRR abs/2202.03392 (2022) - [i313]Xiaoqin Pan, Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng:
Deep learning for drug repurposing: methods, databases, and applications. CoRR abs/2202.05145 (2022) - [i312]Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu:
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR abs/2202.07082 (2022) - [i311]Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. CoRR abs/2202.13041 (2022) - [i310]Gengsen Huang, Wensheng Gan, Philip S. Yu:
TaSPM: Targeted Sequential Pattern Mining. CoRR abs/2202.13202 (2022) - [i309]Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu:
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. CoRR abs/2203.00732 (2022) - [i308]Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
G3SR: Global Graph Guided Session-based Recommendation. CoRR abs/2203.06467 (2022) - [i307]Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica 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. CoRR abs/2203.10093 (2022) - [i306]Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong:
Improving Contrastive Learning with Model Augmentation. CoRR abs/2203.15508 (2022) - [i305]Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu:
Multifaceted Improvements for Conversational Open-Domain Question Answering. CoRR abs/2204.00266 (2022) - [i304]Taotao Cai, Quan Z. Sheng, Xiangyu Song, Jian Yang, Wei Emma Zhang, Jia Wu, Philip S. Yu:
A Survey on Location-Driven Influence Maximization. CoRR abs/2204.08005 (2022) - [i303]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu:
PyGOD: A Python Library for Graph Outlier Detection. CoRR abs/2204.12095 (2022) - [i302]Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alex Jaimes, Hao Peng, Philip S. Yu:
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction. CoRR abs/2205.01757 (2022) - [i301]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shuang Li, Lijie Wen, Philip S. Yu:
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. CoRR abs/2205.02225 (2022) - 2021
- [j407]Jerry Chun-Wei Lin, Philippe Fournier-Viger, Vincent S. Tseng, Philip S. Yu:
IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications. IEEE Access 9: 16604-16607 (2021) - [j406]Xiaobin Rui, Fanrong Meng, Yahui Chai, Zhixiao Wang, Philip S. Yu:
Dismantling Networks by Skeleton Extraction and Greedy Tree Breaking. IEEE Access 9: 84922-84931 (2021) - [j405]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep graph similarity learning: a survey. Data Min. Knowl. Discov. 35(3): 688-725 (2021) - [j404]Longbing Cao, Qiang Yang, Philip S. Yu:
Data science and AI in FinTech: an overview. Int. J. Data Sci. Anal. 12(2): 81-99 (2021) - [j403]Erik Cambria, Shaoxiong Ji, Shirui Pan, Philip S. Yu:
Knowledge graph representation and reasoning. Neurocomputing 461: 494-496 (2021) - [j402]Chunkai Zhang, Zilin Du, Wensheng Gan, Philip S. Yu:
TKUS: Mining top-k high utility sequential patterns. Inf. Sci. 570: 342-359 (2021) - [j401]Tie Li, Gang Kou, Yi Peng, Philip S. Yu:
A fast diagonal distance metric learning approach for large-scale datasets. Inf. Sci. 571: 225-245 (2021) - [j400]Boyan Wang, Xuegang Hu, Pei-Pei Li, Philip S. Yu:
Cognitive structure learning model for hierarchical multi-label text classification. Knowl. Based Syst. 218: 106876 (2021) - [j399]Zhixiao Wang, Chengcheng Sun, Xiaobin Rui, Philip S. Yu, Lichao Sun:
Localization of multiple diffusion sources based on overlapping community detection. Knowl. Based Syst. 226: 106613 (2021) - [j398]Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Fused lasso for feature selection using structural information. Pattern Recognit. 119: 108058 (2021) - [j397]Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems Using Multi-objective Reinforcement Learning. ACM Trans. Cyber Phys. Syst. 5(4): 34:1-34:24 (2021) - [j396]Xianyu Chen, Zhongyuan Jiang, Hui Li, Jianfeng Ma, Philip S. Yu:
Community Hiding by Link Perturbation in Social Networks. IEEE Trans. Comput. Soc. Syst. 8(3): 704-715 (2021) - [j395]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Fast Utility Mining on Sequence Data. IEEE Trans. Cybern. 51(2): 487-500 (2021) - [j394]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Suohai Fan, Philip S. Yu:
Adaptively Weighted Multiview Proximity Learning for Clustering. IEEE Trans. Cybern. 51(3): 1571-1585 (2021) - [j393]Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu:
Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations. IEEE Trans. Ind. Informatics 17(4): 2974-2982 (2021) - [j392]Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. ACM Trans. Intell. Syst. Technol. 12(2): 25:1-25:22 (2021) - [j391]Zhenchang Xia, Jia Wu, Libing Wu, Yanjiao Chen, Jian Yang, Philip S. Yu:
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks. ACM Trans. Intell. Syst. Technol. 12(4): 37:1-37:30 (2021) - [j390]Yu Huang, Josh Jia-Ching Ying, Philip S. Yu, Vincent S. Tseng:
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. ACM Trans. Knowl. Discov. Data 15(1): 3:1-3:32 (2021) - [j389]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Utility Mining Across Multi-Dimensional Sequences. ACM Trans. Knowl. Discov. Data 15(5): 82:1-82:24 (2021) - [j388]Hao Peng, Jianxin Li, Yangqiu Song, Renyu Yang, Rajiv Ranjan, Philip S. Yu, Lifang He:
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 15(5): 89:1-89:33 (2021) - [j387]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu:
A Survey of Utility-Oriented Pattern Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1306-1327 (2021) - [j386]Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu:
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 33(4): 1413-1425 (2021) - [j385]Jianguo Chen, Philip S. Yu:
A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution. IEEE Trans. Knowl. Data Eng. 33(6): 2310-2321 (2021) - [j384]Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu, Binxing Fang:
Finding Route Hotspots in Large Labeled Networks. IEEE Trans. Knowl. Data Eng. 33(6): 2479-2492 (2021) - [j383]Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 33(6): 2505-2519 (2021) - [j382]Linchuan Xu, Jing Wang, Lifang He, Jiannong Cao, Xiaokai Wei, Philip S. Yu, Kenji Yamanishi:
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. IEEE Trans. Knowl. Data Eng. 33(6): 2627-2639 (2021) - [j381]Zheng Wang, Xiaojun Ye, Chaokun Wang, Jian Cui, Philip S. Yu:
Network Embedding With Completely-Imbalanced Labels. IEEE Trans. Knowl. Data Eng. 33(11): 3634-3647 (2021) - [j380]Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex D. Leow, Stephen Checkoway:
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning. IEEE Trans. Mob. Comput. 20(4): 1465-1476 (2021) - [j379]Youcef Djenouri, Jerry Chun-Wei Lin, Kjetil Nørvåg, Heri Ramampiaro, Philip S. Yu:
Exploring Decomposition for Solving Pattern Mining Problems. ACM Trans. Manag. Inf. Syst. 12(2): 15:1-15:36 (2021) - [j378]Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu:
A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(1): 4-24 (2021) - [j377]Chang-Dong Wang, Mansheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu:
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5047-5060 (2021) - [j376]Shaoxu Song, Fei Gao, Aoqian Zhang, Jianmin Wang, Philip S. Yu:
Stream Data Cleaning under Speed and Acceleration Constraints. ACM Trans. Database Syst. 46(3): 10:1-10:44 (2021) - [j375]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility. ACM Trans. Internet Techn. 21(1): 3:1-3:32 (2021) - [j374]He Li, Hang Yuan, Jianbin Huang, Jiangtao Cui, Xiaoke Ma, Senzhang Wang, Jaesoo Yoo, Philip S. Yu:
Group Reassignment for Dynamic Edge Partitioning. IEEE Trans. Parallel Distributed Syst. 32(10): 2477-2490 (2021) - [c929]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu:
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. AAAI 2021: 4375-4383 - [c928]Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu:
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. AAAI 2021: 6418-6425 - [c927]Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan:
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. IEEE BigData 2021: 457-468 - [c926]Fuxin Ren, Zhongbao Zhang, Yang Yan, Zhi Wang, Sen Su, Philip S. Yu:
HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling. IEEE BigData 2021: 500-509 - [c925]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu:
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. IEEE BigData 2021: 540-549 - [c924]Shaika Chowdhury, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Philip S. Yu:
MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports. IEEE BigData 2021: 1582-1588 - [c923]Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu:
Deep Fraud Detection on Non-attributed Graph. IEEE BigData 2021: 5470-5473 - [c922]Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak:
I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications. HEALTHINF 2021: 566-574 - [c921]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM 2021: 433-442 - [c920]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM 2021: 690-699 - [c919]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021: 988-997 - [c918]Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu:
Improving Chinese Character Representation with Formation Graph Attention Network. CIKM 2021: 1999-2009 - [c917]Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CIKM 2021: 3019-3023 - [c916]Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu:
Hubness-aware User Identity Linkage. CIKM 2021: 3196-3200 - [c915]Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM 2021: 3201-3205 - [c914]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CIKM 2021: 3513-3517 - [c913]Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu:
Pre-training Graph Neural Network for Cross Domain Recommendation. CogMI 2021: 140-145 - [c912]Xinyu Wen, Zhaohui Peng, Shanshan Huang, Senzhang Wang, Philip S. Yu:
MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation. DASFAA (3) 2021: 228-243 - [c911]Xiaokang Xu, Zhaohui Peng, Senzhang Wang, Shanshan Huang, Philip S. Yu, Zhenyun Hao, Jian Wang, Xue Wang:
AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern. DASFAA (2) 2021: 392-399 - [c910]Ye Liu, Yao Wan, Jianguo Zhang, Wenting Zhao, Philip S. Yu:
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. EACL 2021: 1235-1244 - [c909]Ye Liu, Jianguo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu:
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. EMNLP (1) 2021: 146-154 - [c908]Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu:
Dense Hierarchical Retrieval for Open-domain Question Answering. EMNLP (Findings) 2021: 188-200 - [c907]Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu:
Semi-supervised Relation Extraction via Incremental Meta Self-Training. EMNLP (Findings) 2021: 487-496 - [c906]Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu:
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. EMNLP (1) 2021: 1906-1912 - [c905]Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu:
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) 2021: 2737-2746 - [c904]Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu:
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. EMNLP (Findings) 2021: 4106-4117 - [c903]Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao:
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. EMNLP (1) 2021: 5441-5451 - [c902]