Tutorials

1. Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingtong Gao, Qidong Liu, Lin Wang, Trustworthy Recommender Systems: Foundations and Frontiers, 29th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2023)
   
   
2. Xiangyu Zhao, Yichao Wang, Bo Chen, Pengyue Jia, Yuhao Wang, Jingtong Gao, Huifeng Guo, Ruiming Tang, Joint Modeling in Recommendations: Foundations and Frontiers, 30th International Joint Conference on Artificial Intelligence (IJCAI'2023) [PDF]
   
   
3. Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingtong Gao, Qidong Liu, Lin Wang, Trustworthy Recommender Systems: Foundations and Frontiers, 30th International Joint Conference on Artificial Intelligence (IJCAI'2023)
   
   
4. Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li, Trustworthy Recommender Systems, The Web Conference 2023 (WWW'2023)
   
   
5. Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao, AutoML for Deep Recommender Systems: Fundamentals and Advances, 16th ACM International Conference on Web Search and Data Mining (WSDM'2023) [Website]
   
   
6. Xiangyu Zhao, Wenqi Fan, Huifeng Guo, Bo Chen, Yejing Wang, Ruiming Tang, Automated Machine Learning for Recommendations: Fundamentals and Advances, The Web Conference 2022 (WWW'2022) [Website]
   
   
7. Xiangyu Zhao, Wenqi Fan, Dawei Yin, Jiliang Tang, Deep Recommender System: Fundamentals and Advances, The Web Conference 2021 (WWW'2021) [BibTeX][Website]
   
   
8. Wenqi Fan, Xiangyu Zhao, Dawei Yin, Jiliang Tang, Deep Learning for Recommendations: Fundamentals and Advances, 30th International Joint Conference on Artificial Intelligence (IJCAI'2021) [Website]
   
   

    Conference and Journal Publications

1. Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Xiangyu Zhao*, Yan Gao, Yao Hu, Enhong Chen, NoteLLM-2: Multimodal Large Representation Models for Recommendation, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2025)
   
   
2. Sheng Zhang, Maolin Wang, Wanyu Wang, Jingtong Gao, Xiangyu Zhao*, Yu Yang, Xuetao Wei, Zitao Liu, Tong Xu, GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2025)
   
   
3. Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao*, Rui Chen, DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2025)
   
   
4. Qidong Liu, Xian Wu, Xiangyu Zhao*, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation, 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Spotlight (3%)
   
   
5. Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao*, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin, G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models, 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024)
   
   
6. Junlei Zhou, Jiashi Gao, Xiangyu Zhao, Xin Yao, Xuetao Wei, Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation, 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Spotlight (3%)
   
   
7. Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei, Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors, 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024)
   
   
8. Ziyi Zhou, Xinwei Guo, Jiashi Gao, Xiangyu Zhao, Shiyao Zhang, Xin Yao, Xuetao Wei, Seeing is NOT Always Believing! Unveiling the True Symmetric Moral Consistency of Large Language Models, 38th Annual Conference on Neural Information Processing Systems (NeurIPS'2024)
   
   
9. Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao*, Mengchen Zhao, Huifeng Guo, Ruiming Tang, A Unified Framework for Multi-Domain CTR Prediction via Large Language Models, ACM Transactions on Information Systems (TOIS), 2024
   
   
10. Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao*, Yefeng Zheng, Enhong Chen, Mitigating Hallucinations of Large Language Models in Medical Domain via Contrastive Decoding, 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'2024), Findings
    
    
11. Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao*, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen, Large Language Models for Generative Information Extraction: A Survey, Frontiers of Computer Science (FCS), 2024
    
    
12. Haoran Yang, Yuhao Wang, Xiangyu Zhao*, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu, Multi-level Graph Knowledge Contrastive Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
    
    
13. Yejing Wang, Dong Xu, Xiangyu Zhao*, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu, GPRec: Bi-level User Modeling for Deep Recommender Systems, 24th International Conference on Data Mining (ICDM'2024)
    
    
14. Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao*, Jingtong Gao, Wanyu Wang, Qing Li, Jiliang Tang, Multimodal Recommender Systems: A Survey, ACM Computing Surveys (CSUR), 2024
    
    
15. Sheng Zhang, Maolin Wang, Xiangyu Zhao*, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin, DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems, 18th ACM Conference on Recommender Systems (RecSys'2024)
    
    
16. Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao*, Huifeng Guo, Ruiming Tang, LLM4MSR: An Effective Efficient Interpretable LLM-Enhanced Paradigm for Multi-Scenario Recommendation, 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024)
    
    
17. Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao*, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations, 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024), 1 online launched system
    
    
18. Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao*, Yefeng Zheng, Enhong Chen, Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models, 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024)
    
    
19. Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li, Efficient and Robust Regularized Federated Recommendation, 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024)
    
    
20. Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin, Scalable Dynamic Embedding Size Search for Streaming Recommendation, 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024)
    
    
21. Jiahao Chen, Zitao Liu, Mingliang Hou, Xiangyu Zhao, Weiqi Luo, Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations, 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024), resource paper track
    
    
22. Xi Zhu, Fake Lin, Ziwei Zhao, Tong Xu, Xiangyu Zhao, Zikai Yin, Xueying Li, Enhong Chen, Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs, ACM Transactions on Information Systems (TOIS), 2024
    
    
23. Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao*, Hengshu Zhu, Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2024)
    
    
24. Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao*, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang, ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2024)
    
    
25. Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao*, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang, ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2024)
    
    
26. Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao*, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang, Modeling User Retention through Generative Flow Networks, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2024), 1 online launched system
    
    
27. Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Jianwei Yin, Automatic Data Repair: Are We Ready to Deploy?, 50th International Conference on Very Large Databases (VLDB'2024)
    
    
28. Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao, Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification, 41st International Conference on Machine Learning (ICML'2024)
    
    
29. Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong, KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation, 33rd International Joint Conference on Artificial Intelligence (IJCAI'2024)
    
    
30. Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng, Enhancing Length Generalization for Attention based Knowledge Tracing Models with Linear Biases, 33rd International Joint Conference on Artificial Intelligence (IJCAI'2024)
    
    
31. Qidong Liu, Xian Wu, Xiangyu Zhao*, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng, When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024)
    
    
32. Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao*, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai, Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024)
    
    
33. Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao*, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai, MDMTRec: An Adaptive Multi-Task Multi-Domain Recommendation Framework, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024)
    
    
34. Xinhang Li, Xiangyu Zhao*, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing, Optimal Transport Enhanced Cross-City Site Recommendation, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024)
    
    
35. Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing, OpenSiteRec: An Open Dataset for Site Recommendation, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2024), resource track
    
    
36. Huimin Zou, Jiquan Chen, Xianglan Li, Michael Abraha, Xiangyu Zhao, Jiliang Tang, Modeling Net Ecosystem Exchange of CO2 with Gated Recurrent Unit Neural Networks, Agricultural and Forest Meteorology, 2024
    
    
37. Pengyue Jia, Yiding Liu, Xiangyu Zhao*, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin, MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'2024)
    
    
38. Xiangjie Kong, Juntao Wang, Zehao Hu, Yuwei He, Xiangyu Zhao, Guojiang Shen, Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions, IEEE Internet of Things Journal (IoT), 2024
    
    
39. 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, The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING'2024)
    
    
40. Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao*, Large Multimodal Model Compression via Efficient Pruning and Distillation, The Web Conference 2024 (WWW'2024), Industry track, Oral Presentation (10%), 1 online launched system
    
    
41. Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao*, Tensorized Hypergraph Neural Networks, 24th SIAM International Conference on Data Mining (SDM'2024)
    
    
42. Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao*, Huifeng Guo, Ruiming Tang, D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-­Domain Recommendations, 38th AAAI Conference on Artificial Intelligence (AAAI'2024), 1 online launched system
    
    
43. Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao*, Peng Tang, Hongtao Song, SSDRec: Self-­Augmented Sequence Denoising for Sequential Recommendation, 40th IEEE International Conference on Data Engineering (ICDE'2024)
    
    
44. Jingtong Gao, Xiangyu Zhao*, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin, SMLP4Rec: An Efficient all­-MLP Architecture for Sequential Recommendations, ACM Transactions on Information Systems (ACM TOIS), 2024
    
    
45. Yiren Liu, Xiangyu Zhao, S. Joe Qin, Dynamically Engineered Multi­modal Feature Learning for Predictions of Office Building Cooling Loads, Applied Energy, 2024
    
    
46. Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li, Recommender Systems in the Era of Large Language Models (LLMs), IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
    
    
47. Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao*, Bo Chen, Huifeng Guo, Ruiming Tang, Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation, 17th ACM International Conference on Web Search and Data Mining (WSDM'2024)
    
    
48. Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao*, MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems, 17th ACM International Conference on Web Search and Data Mining (WSDM'2024)
    
    
49. Bo Chen*, Xiangyu Zhao*, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang, A Comprehensive Survey on Automated Machine learning for Recommendations, ACM Transactions on Recommender Systems (TORS), 2023
    
    
50. Haoran Yang, Xiangyu Zhao*, Yicong Li, Hongxu Chen, Guandong Xu, An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations, 37th Annual Conference on Neural Information Processing Systems (NeurIPS'2023)
    
    
51. Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao*, James J.Q. Yu, DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model, 37th Annual Conference on Neural Information Processing Systems (NeurIPS'2023)
    
    
52. Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao*, James J.Q. Yu, Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis, 37th Annual Conference on Neural Information Processing Systems (NeurIPS'2023), Datasets and Benchmarks track
    
    
53. Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao*, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai, KuaiSim: A Comprehensive Simulator for Recommender Systems, 37th Annual Conference on Neural Information Processing Systems (NeurIPS'2023), Datasets and Benchmarks track
    
    
54. Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng, XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information, 37th Annual Conference on Neural Information Processing Systems (NeurIPS'2023), Datasets and Benchmarks track
    
    
55. Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao*, Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization, 23nd International Conference on Data Mining (ICDM'2023)
    
    
56. Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen, Task Assignment with Efficient Federated Preference Learning in Spatial Crowdsourcing, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023
    
    
57. Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu, Mitigating Performance Sacrifice in DP-satisfied Federated Settings through Graph Contrastive Learning, Information Sciences (INS), 2023
    
    
58. Qidong Liu, Fan Yan, Xiangyu Zhao*, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian, Diffusion Augmentation for Sequential Recommendation, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023)
    
    
59. Qian Ma, Zijian Zhang, Xiangyu Zhao*, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang, Hierarchical Information Enhanced Traffic Forecasting, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023)
    
    
60. Zijian Zhang, Xiangyu Zhao*, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu, Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023)
    
    
61. Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao*, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao, MLPST: MLP is All You Need for Spatio-Temporal Prediction, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023)
    
    
62. Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu, REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023)
    
    
63. Xinhang Li, Xiangyu Zhao*, Yong Zhang, Chunxiao Xing, Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023)
    
    
64. Xiaopeng Li, Fan Yan, Xiangyu Zhao*, Yichao Wang, Huifeng Guo, Bo Chen, Ruiming Tang, HAMUR: Hyper Adapter for Multi-Domain Recommendation, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023)
    
    
65. Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li, Counterfactual-Consistent Adversarial Learning for Recommender Systems, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023), short paper
    
    
66. Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Lu, Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue, 32nd ACM International Conference on Information and Knowledge Management (CIKM'2023), short paper
    
    
67. Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao*, Huifeng Guo, Ruiming Tang, AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation, Knowledge and Information Systems (KAIS), 2023: 1-25
    
    
68. Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao*, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li, STRec: Sparse Transformer for Sequential Recommendations, 17th ACM Recommender Systems Conference (RecSys'2023)
    
    
69. Xiao Han, Xiangyu Zhao*, Liang Zhang, Wanyu Wang, Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning, 29th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2023)
    
    
70. Yejing Wang, Shen Ge, Xiangyu Zhao*, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng, Doctor Specific Tag Recommendation for Online Medical Record Management, 29th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2023)
    
    
71. Yuhao Wang, Xiangyu Zhao*, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang, PLATE: A Prompt-enhanced Paradigm for Multi-Scenario Recommendations, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023)
    
    
72. Jingtong Gao, Xiangyu Zhao*, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang, AutoTransfer: Instance Transfer for Cross-Domain Recommendations, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023)
    
    
73. Yejing Wang, Zhaocheng Du, Xiangyu Zhao*, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Single-shot Feature Selection Framework for Multi-task Deep Recommender Systems, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023)
    
    
74. Langming Liu, Xiangyu Zhao*, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu and Qing Li, Linear Attention Mechanism for Long-term Sequential Recommender Systems, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023)
    
    
75. Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin, Continuous Input Embedding Size Search For Recommender Systems, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023)
    
    
76. Xin Gan, Yuhao Wang, Xiangyu Zhao*, Wanyu Wang, Yiqi Wang, Zitao Liu, AutoDPQ: Automated Differentiable Product Quantization Embedding Compression Framework, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023), short paper
    
    
77. Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng, Towards Robust Knowledge Tracing Models via k-Sparse Attention, 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023), short paper
    
    
78. Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Adversarial Attacks for Black-box Recommender Systems via Copying Transferable Cross-domain User Profiles, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023
    
    
79. Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao*, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai, Multi-Task Recommendations with Reinforcement Learning, The Web Conference 2023 (WWW'2023)
    
    
80. Weilin Lin, Xiangyu Zhao*, Yejing Wang, Yuanshao Zhu, Wanyu Wang, AutoDenoise: Automatic Data Instance Denoising for Recommendations, The Web Conference 2023 (WWW'2023)
    
    
81. Muyang Li, Zijian Zhang, Xiangyu Zhao*, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo, AutoMLP: Automated MLP for Sequential Recommendations, The Web Conference 2023 (WWW'2023)
    
    
82. Qiongqiong Liu, Yaying Huang, Zitao Liu, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Guimin Lin, Yuyu Zhou, Weiqi Luo, SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners, 19th International Conference on Intelligent Tutoring Systems (ITS'2023)
    
    
83. Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Dong Zheng, Peng Jiang, Kun Gai, Ji Jiang, Xiangyu Zhao, Yongfeng Zhang, Exploration and Regularization of the Latent Action Space in Recommendation, The Web Conference 2023 (WWW'2023)
    
    
84. Kesen Zhao, Lixin Zou, Xiangyu Zhao*, Maolin Wang, Dawei Yin, User Retention-oriented Recommendation with Decision Transformer, The Web Conference 2023 (WWW'2023)
    
    
85. Chi Zhang, Rui Chen, Xiangyu Zhao*, Qilong Han, Li Li, Denoising and Prompt-Tuning for Multi-Behavior Recommendation, The Web Conference 2023 (WWW'2023)
    
    
86. Xinhang Li, Xiangyu Zhao*, Jiaxing Xu, Yong Zhang, Chunxiao Xing, IMF: Interactive Multimodal Fusion Model for Link Prediction, The Web Conference 2023 (WWW'2023)
    
    
87. Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu, Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning, The Web Conference 2023 (WWW'2023)
    
    
88. Jiahao Liang, Xiangyu Zhao*, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Ming He, Yiqi Wang, Zitao Liu, MMMLP: Multi-modal Multilayer Perceptron for Sequence Recommendation, The Web Conference 2023 (WWW'2023)
    
    
89. Zijian Zhang, Xiangyu Zhao*, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang, AutoSTL: Automated Spatio-Temporal Multi-Task Learning, 37th AAAI Conference on Artificial Intelligence (AAAI'2023)
    
    
90. Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang, AutoGen: An Automated Dynamic Model Generation Framework for Recommender System, 16th ACM International Conference on Web Search and Data Mining (WSDM'2023)
    
    
91. Fengyi Song, Bo Chen, Xiangyu Zhao*, Huifeng Guo, Ruiming Tang, AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation, 22nd International Conference on Data Mining (ICDM'2022), Best-ranked Papers [BibTeX]
    
    
92. Kesen Zhao, Xiangyu Zhao*, Zijian Zhang, Muyang Li, MAE4Rec: Storage-saving Transformer for Sequential Recommendations, 31st ACM International on Conference on Information and Knowledge Management (CIKM'2022) [BibTeX]
    
    
93. Pengfei He, Haochen Liu, Xiangyu Zhao*, Hui Liu, Jiliang Tang, PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations, 31st ACM International on Conference on Information and Knowledge Management (CIKM'2022) [BibTeX]
    
    
94. Chi Zhang, Yantong Du, Xiangyu Zhao*, Qilong Han, Rui Chen, Li Li, Hierarchical Item Inconsistency Signal learning for Sequence Denoising in Sequential Recommendation, 31st ACM International on Conference on Information and Knowledge Management (CIKM'2022) [BibTeX]
    
    
95. Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu, Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation, 31st ACM International on Conference on Information and Knowledge Management (CIKM'2022) [BibTeX]
    
    
96. Weilin Lin, Xiangyu Zhao*, Yejing Wang, Tong Xu, Xian Wu, AdaFS: Adaptive Feature Selection in Deep Recommender System, 28th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2022) [BibTeX]
    
    
97. Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang, Knowledge-enhanced Black-box Attacks for Recommendations, 28th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2022) [BibTeX]
    
    
98. Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong, DDR: Dialogue based Doctor Recommendation for Online Medical Service, 28th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2022) [BibTeX]
    
    
99. Muyang Li, Xiangyu Zhao*, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo, MLP4Rec: A Pure MLP Architecture for Sequential Recommendations, 31st International Joint Conference on Artificial Intelligence (IJCAI'2022), LONG Oral Presentation (3.75%) [BibTeX]
    
    
100. Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao*, Jiliang Tang, Qing Li, Graph Trend Filtering Networks for Recommendation, 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2022) [BibTeX]
     
     
101. Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang, Automated Self-Supervised Learning for Graphs, 10th International Conference on Learning Representations (ICLR'2022) [BibTeX]
     
     
102. Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao*, Hui Liu, Jiliang Tang, Youlong Cheng, Rating Distribution Calibration for Selection Bias Mitigation in Recommendations, The Web Conference 2022 (WWW'2022) [BibTeX]
     
     
103. Yejing Wang, Xiangyu Zhao*, Tong Xu, Xian Wu, Automating Feature Selection in Deep Recommender Systems, The Web Conference 2022 (WWW'2022) [BibTeX]
     
     
104. Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong, CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction, The Web Conference 2022 (WWW'2022) [BibTeX]
     
     
105. Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen, Interaction-aware Drug Package Recommendation via Policy Gradient, ACM Transactions on Information and Systems (TOIS), 2022 [BibTeX]
     
     
106. Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang, Multi-type Urban Crime Prediction, 36th AAAI Conference on Artificial Intelligence (AAAI'2022) [BibTeX]
     
     
107. Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang, AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations, 21st International Conference on Data Mining (ICDM'2021), Best-ranked Papers, Top-10 Most Cited Paper 10 / 208 Accepted Papers [BibTeX]
     
     
108. Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, AutoLoss: Automated Loss Function Search in Recommendations, 27th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2021) [BibTeX]
     
     
109. Xiangyu Zhao, Adaptive and Automated Deep Recommender Systems, PhD Thesis, extended abstract version at ACM SIGWEB Newsletter (SIGWEB), 2022, Issue Spring: 1-4, 2021 Joint AAAI/ACM SIGAI Doctoral Dissertation Award Nomination [BibTeX]
     
     
110. Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin, Data-Efficient Reinforcement Learning for Malaria Control [BibTeX]
     
     
111. Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long, AutoDim: Field-aware Embedding Dimension Search in Recommender Systems, The Web Conference 2021 (WWW'2021), 1 online launched system [BibTeX]
     
     
112. Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang, UserSim: User Simulation via Supervised Generative Adversarial Network, The Web Conference 2021 (WWW'2021) [BibTeX]
     
     
113. Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu, DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems, 35th AAAI Conference on Artificial Intelligence (AAAI'2021) [BibTeX]
     
     
114. Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang, Towards Long-term Fairness in Recommendation, 14th International Conference on Web Search and Data Mining (WSDM'2021), Top-4 Most Cited Paper 4 / 155 Accepted Papers [BibTeX]
     
     
115. Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li, Attacking Black-box Recommendations via Copying Cross-domain User Profiles, 37th IEEE International Conference on Data Engineering (ICDE'2021) [BibTeX]
     
     
116. Xiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Hui Liu, Jiliang Tang, Whole-Chain Recommendations, 29th ACM International Conference on Information and Knowledge Management (CIKM'2020) [BibTeX]
     
     
117. Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Jointly Learning to Recommend and Advertise, 26th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2020) [BibTeX]
     
     
118. Xiangyu Zhao*, Haochen Liu*, Chong Wang, Xiaobing Liu, Jiliang Tang, Automated Embedding Size Search in Deep Recommender Systems, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020) [BibTeX]
     
     
119. Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin, Neural Interactive Collaborative Filtering, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020) [BibTeX]
     
     
120. Xiangyu Zhao, Liang Zhang, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang, Deep Reinforcement Learning for List-wise Recommendations, 1st Workshop on Deep Reinforcement Learning for Knowledge Discovery (DRL4KDD'2019) [BibTeX][Code 1 2 3]
     
     
121. Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin, Deep Reinforcement Learning for Search, Recommendation, and Online Advertising: A Survey, ACM SIGWEB Newsletter (SIGWEB), 2019, Issue Spring: Article No.4, Top-2 Most Cited Paper 2 / 551 in History [BibTeX]
     
     
122. Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang, Deep Reinforcement Learning for Page-wise Recommendations, 12th ACM Recommender Systems Conference (RecSys'2018), Top-1 Most Cited Paper 1 / 117 Accepted Papers [BibTeX]
     
     
123. Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin, Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning, 24th ACM SIGKDD Conference on Knowledge Discovery and Data (KDD'2018), Top-20 Most Cited Paper 19 / 294 Accepted Papers [BibTeX]
     
     
124. Xiangyu Zhao, Jiliang Tang, Crime in Urban Areas: A Data Mining Perspective, ACM SIGKDD Explorations Newsletter (SIGKDD Explorations), 2018, 20(1): 1-12 [BibTeX]
     
     
125. Xiangyu Zhao, Jiliang Tang, Modeling Temporal-Spatial Correlations for Crime Prediction, 26th ACM International on Conference on Information and Knowledge Management (CIKM'2017), Top-20 Most Cited Paper 20 / 350 Accepted Papers [BibTeX]
     
     
126. Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo, Incorporating Spatio-Temporal Smoothness for Air Quality Inference, 17th International Conference on Data Mining (ICDM'2017) [BibTeX]
     
     
127. Xiangyu Zhao, Jiliang Tang, Exploring Transfer Learning for Crime Prediction, 17th International Conference on Data Mining (ICDM'2017), Ph.D. Forum [BibTeX]
     
     
128. Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong, Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016) [BibTeX]
     
     
129. Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo, Exploring the Choice under Conflict for Social Event Participation, 21st International Conference on Database Systems for Advanced Applications (DASFAA'2016) [BibTeX]
     
     
130. Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu, CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation, 9th International Conference on Knowledge Science, Engineering and Management (KSEM'2016) [BibTeX]
     
     
131. Xiangyu Zhao, Bin Huang, Ming Tang, Haifeng Zhang, Duanbing Chen, Identifying Effective Multiple Spreaders by Coloring Complex Networks, Europhysics Letters (EPL), 2015, 108(6): 68005 (SCI IF: 2.095) [BibTeX]
     
     
132. Bin Huang, Xiangyu Zhao, Kai Qi, Ming Tang, Younghae Do, Coloring the Complex Networks and its Application for Immunization Strategy, Acta Physica Sinica (APS), 2013, 62(21): 218902-218902 (SCI IF: 0.845) [BibTeX]