Publications

You may also see our work on Google Scholar. Please find our open-sourced works on our Lab GitHub.

Tutorials

[1] Joint Modeling in Recommendations: Foundations and Frontiers
    Xiangyu Zhao, Yichao Wang, Bo Chen, Pengyue Jia, Yuhao Wang, Jingtong Gao, Huifeng Guo, Ruiming Tang
    IJCAI’23, Proceedings of the 32nd International Joint Conference on Artificial Intelligence

[2] Trustworthy Recommender Systems: Foundations and Frontiers
    Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang
    IJCAI’23, Proceedings of the 32nd International Joint Conference on Artificial Intelligence
    KDD’23, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    [CITE]

[3] A Comprehensive Survey on Trustworthy Recommender Systems
    Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
    WWW’23, Companion Proceedings of the Web Conference 2023
    [CITE]

[4] AutoML for Deep Recommender Systems: Fundamentals and Advances
    Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
    WSDM’23, Proceedings of the 16th ACM International Conference on Web Search and Data Mining
    [CITE]

[5] Automated Machine Learning for Recommendations: Fundamentals and Advances
    Xiangyu Zhao, Wenqi Fan, Bo Chen, Ruiming Tang
    WWW’22, Companion Proceedings of the Web Conference 2022
    [CITE]

[6] Deep Recommender System: Fundamentals and Advances
    Xiangyu Zhao, Wenqi Fan, Dawei Yin, Jiliang Tang
    WWW’21, Companion Proceedings of the Web Conference 2021
    [CITE]

[7] Deep Learning for Recommendations: Fundamentals and Advances
    Wenqi Fan, Xiangyu Zhao, Dawei Yin, Jiliang Tang
    IJCAI’21, Proceedings of the 30th International Joint Conference on Artificial Intelligence

Publications in 2024

[1] KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation
    Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong
    IJCAI 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence

[2] Enhancing Length Generalization for Attention based Knowledge Tracing Models with Linear Biases
    Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng
    IJCAI 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence

[3] Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
    Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
    SIGIR’24, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

[4] When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
    Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng
    SIGIR’24, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[5] MDMTRec: An Adaptive Multi-Task Multi-Domain Recommendation Framework
    Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
    SIGIR’24, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

[6] Optimal Transport Enhanced Cross-City Site Recommendation
    Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, Chunxiao Xing
    SIGIR’24, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

[7] OpenSiteRec: An Open Dataset for Site Recommendation
    Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
    SIGIR’24 (resource track), Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[8] Modeling Net Ecosystem Exchange of CO2 with Gated Recurrent Unit Neural Networks
    Huimin Zou, Jiquan Chen, Xianglan Li, Michael Abraha, Xiangyu Zhao, Jiliang Tang
    Agricultural and Forest Meteorology
    [CITE]

[9] MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
    Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
    NAACL 2024, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics
    [CITE]

[10] Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions
    Xiangjie Kong, Juntao Wang, Zehao Hu, Yuwei He, Xiangyu Zhao, Guojiang Shen
    IoT, IEEE Internet of Things Journal
    [CITE]

[11] Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models
    Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
    COLING’24, The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation
    [CITE]

[12] Large Multimodal Model Compression via Efficient Pruning and Distillation
    Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao
    WWW’24 (industry track), Proceedings of the ACM Web Conference 2024
    Oral Presentation
    [CITE]

[13] When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
    Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
    WWW’24, Proceedings of the ACM Web Conference 2024
    [CITE]

[14] Tensorized Hypergraph Neural Networks
    Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
    SDM’24, Proceedings of the 24th SIAM International Conference on Data Mining
    [CITE]

[15] D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
    Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
    AAAI’24, Proceedings of the 38th AAAI Conference on Artificial Intelligence
    [CITE]

[16] SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
    Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
    ICDE’24, Proceedings of the 40th IEEE International Conference on Data Engineering
    [CITE]

[17] Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
    Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
    WSDM’24, Proceedings of the 17th ACM International Conference on Web Search and Data Mining
    [CITE]

[18] MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
    Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
    WSDM’24, Proceedings of the 17th ACM International Conference on Web Search and Data Mining
    [CITE]

[19] Dynamically Engineered Multi-modal Feature Learning for Predictions of Office Building Cooling Loads
    Yiren Liu, Xiangyu Zhao, S. Joe Qin
    Applied Energy
    [CITE]

[20] Recommender Systems in the Era of Large Language Models (LLMs)
    Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li
    TKDE, IEEE Transactions on Knowledge and Data Engineering
    [CITE]

Publications in 2023

[1] SMLP4Rec: An Efficient all-MLP Architecture for Sequential Recommendations
    Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin
    TOIS, Transactions on lnformation Systems
    [CITE]

[2] On the Opportunities of Green Computing: A Survey
    You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Jin Zhao, Xiangyu Zhao, Ying WEI, Hong Qian, Qi Liu, Xiang Wang, Wai Kin (Victor)Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
    arxiv preprint
    [CITE]

[3] Embedding in Recommender Systems: A Survey
    Xiangyu Zhao, Maolin Wang, Xinjian Zhao, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo
    arxiv preprint
    [CITE]

[4] A Comprehensive Survey on Automated Machine learning for Recommendations
    Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
    TORS, ACM Transactions on Recommender Systems
    [CITE]

[5] An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
    Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
    NeurIPS’23, Proceedings of the 37th Annual Conference on Neural Information Processing Systems
    [CITE]

[6] DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
    Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James J.Q. Yu
    NeurIPS’23, Proceedings of the 37th Annual Conference on Neural Information Processing Systems
    [CITE]

[7] SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
    Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James J.Q. Yu
    NeurIPS’23 (Datasets and Benchmarks track), Proceedings of the 37th Annual Conference on Neural Information Processing Systems
    [CITE]

[8] KuaiSim: A Comprehensive Simulator for Recommender Systems
    Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
    NeurIPS’23 (Datasets and Benchmarks track), Proceedings of the 37th Annual Conference on Neural Information Processing Systems
    [CITE]

[9] XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
    Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng
    NeurIPS’23 (Datasets and Benchmarks track), Proceedings of the 37th Annual Conference on Neural Information Processing Systems
    [CITE]

[10] Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization
    Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
    ICDM’23, Proceedings of the 23rd International Conference on Data Mining     [CITE]

[11] Task Assignment with Efficient Federated Preference Learning in Spatial Crowdsourcing
    Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen
    TKDE, IEEE Transactions on Knowledge and Data Engineering
    [CITE]

[12] Mitigating Performance Sacrifice in DP-satisfied Federated Settings through Graph Contrastive Learning
    Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
    Information Sciences
    [CITE]

[13] Diffusion Augmentation for Sequential Recommendation
    Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
    CIKM’23, Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[14] Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
    Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang
    CIKM’23, Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[15] PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
    Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
    CIKM’23, Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[16] MLPST: MLP is All You Need for Spatio-Temporal Prediction
    Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao
    CIKM’23, Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[17] REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning
    Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu
    CIKM’23, Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[18] Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning
    Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing
    CIKM’23, Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[19] HAMUR: Hyper Adapter for Multi-Domain Recommendation
    Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Bo Chen, Ruiming Tang
    CIKM’23, Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[20] Counterfactual Adversarial Learning for Recommender Systems
    Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li
    CIKM’23 (short paper), Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[21] Accessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue
    Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Lu
    CIKM’23 (short paper), Proceedings of the 32nd ACM International Conference on Information & Knowledge Management
    [CITE]

[22] AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation
    Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
    KAIS, Knowledge and Information Systems
    [CITE]

[23] STRec: Sparse Transformer for Sequential Recommendations
    Chengxi Li, Xiangyu Zhao, Yejing Wang, Qidong Liu, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li
    RecSys’23, Proceedings of the 17th ACM Conference on Recommender Systems
    [CITE]

[24] Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning
    Xiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang
    KDD’23, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    [CITE]

[25] Doctor Specific Tag Recommendation for Online Medical Record Management
    Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng
    KDD’23, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    [CITE]

[26] Adversarial Attacks for Black-box Recommender Systems via Copying Transferable Cross-domain User Profiles
    Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
    TKDE, IEEE Transactions on Knowledge and Data Engineering
    [CITE]

[27] LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
    Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li
    SIGIR’23, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[28] PLATE: A Prompt-enhanced Paradigm for Multi-Scenario Recommendations
    Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
    SIGIR’23, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[29] AutoTransfer: Instance Transfer for Cross-Domain Recommendations
    Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
    SIGIR’23, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[30] Single-shot Feature Selection for Multi-task Recommendations
    Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
    SIGIR’23, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[31] Continuous Input Embedding Size Search For Recommender Systems
    Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
    SIGIR’23, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[32] AutoDPQ: Automated Differentiable Product Quantization Embedding Compression Framework
    Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu
    SIGIR’23 (short paper), Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[33] Towards Robust Knowledge Tracing Models via k-Sparse Attention
    Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng
    SIGIR’23 (short paper), Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[34] Multi-Task Recommendations with Reinforcement Learning
    Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[35] AutoDenoise: Automatic Data Instance Denoising for Recommendations
    Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[36] AutoMLP: Automated MLP for Sequential Recommendations
    Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[37] Exploration and Regularization of the Latent Action Space in Recommendation
    Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[38] User Retention-oriented Recommendation with Decision Transformer
    Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[39] Denoising and Prompt-Tuning for Multi-Behavior Recommendation
    Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[40] IMF: Interactive Multimodal Fusion Model for Link Prediction
    Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[41] Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
    Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[42] MMMLP: Multi-modal Multilayer Perceptron for Sequence Recommendations
    Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu
    WWW’23, Proceedings of the ACM Web Conference 2023
    [CITE]

[43] AutoSTL: Automated Spatio-Temporal Multi-Task Learning
    Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
    AAAI’23, Proceedings of the 37th AAAI Conference on Artificial Intelligence
    [CITE]

[44] AutoGen: An Automated Dynamic Model Generation Framework for Recommender System
    Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
    WSDM’23, Proceedings of the 16th ACM International Conference on Web Search and Data Mining
    [CITE]

Publications in 2022

[1] AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation
    Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
    ICDM’22, Proceedings of the 22nd International Conference on Data Mining
    Best-ranked Papers
    [CITE]

[2] Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation
    Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu
    CIKM’22, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
    [CITE]

[3] Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation
    Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li
    CIKM’22, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
    [CITE]

[4] PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations
    Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
    CIKM’22, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
    [CITE]

[5] MAE4Rec: Storage-saving Transformer for Sequential Recommendations
    Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li
    CIKM’22, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
    [CITE]

[6] AdaFS: Adaptive Feature Selection in Deep Recommender System
    Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu
    KDD’22, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    [CITE]

[7] Knowledge-enhanced Black-box Attacks for Recommendations
    Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang
    KDD’22, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    [CITE]

[8] DDR: Dialogue Based Doctor Recommendation for Online Medical Service
    Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao
    KDD’22, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
    [CITE]

[9] DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval
    Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
    SIGIR’22, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[10] CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction
    Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong
    WWW’22, Proceedings of the ACM Web Conference 2022
    [CITE]

[11] AutoField: Automating Feature Selection in Deep Recommender Systems
    Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu
    WWW’22, Proceedings of the ACM Web Conference 2022
    [CITE]

[12] Rating Distribution Calibration for Selection Bias Mitigation in Recommendations
    Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng
    WWW’22, Proceedings of the ACM Web Conference 2022
    [CITE]

[13] MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
    Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo
    IJCAI’22, Proceedings of the 31st International Joint Conference on Artificial Intelligence
    LONG Oral Presentation (3.75%)
    [CITE]

[14] Automated self-supervised learning for graphs
    Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
    ICLR’22, Proceedings of the 10th International Conference on Learning Representations
    [CITE]

[15] Interaction-aware Drug Package Recommendation via Policy Gradient
    Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen
    TOIS, ACM Transactions on Information Systems
    [CITE]

[16] Graph Trend Filtering Networks for Recommendation
    Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
    SIGIR’22, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[17] Multi-Type Urban Crime Prediction
    Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
    AAAI’22, Proceedings of the AAAI Conference on Artificial Intelligence
    [CITE]

[18] DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval
    Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang
    SIGIR’22, Companion Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

Publications in 2021

[1] Data-Efficient Reinforcement Learning for Malaria Control
    Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin
    arXiv preprint arXiv:2105.01620
    [CITE]

[2] AutoDim: Field-aware Embedding Dimension Search in Recommender Systems
    Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
    WWW’21, Proceedings of the Web Conference 2021
    [CITE]

[3] UserSim: User Simulation via Supervised Generative Adversarial Network
    Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
    WWW’21, Proceedings of the Web Conference 2021
    [CITE]

[4] Attacking Black-box Recommendations via Copying Cross-domain User Profiles
    Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
    ICDE’21, 2021 IEEE 37th International Conference on Data Engineering
    [CITE]

[5] Towards Long-term Fairness in Recommendation
    Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
    WSDM’21, Proceedings of the 14th ACM International Conference on Web Search and Data Mining
    Top-4 Most Cited Paper 4 / 155 Accepted Papers
    [CITE]

[6] Adaptive and Automated Deep Recommender Systems
    Xiangyu Zhao
    PhD Thesis, Michigan State University (extended abstract at ACM SIGWEB Newsletter, 2022)
    [CITE]

[7] Self-supervised Learning for Alleviating Selection Bias in Recommendation Systems
    Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Jiliang Tang, Youlong Cheng
    IRS’21, In International Workshop on Industrial Recommendation Systems (IRS) at SIGKDD 2021.
    [CITE]

[8] AutoLoss: Automated Loss Function Search in Recommendations
    Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
    KDD’21, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data
    [CITE]

[9] DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
    Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Hui Liu, Jiliang Tang
    AAAI’21, Proceedings of the AAAI Conference on Artificial Intelligence
    [CITE]

[10] AutoEmb: Automated embedding dimensionality search in streaming recommendations
    Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang
    ICDM’21, Proceedings of the 21st International Conference on Data Mining
    Best-ranked Papers, Top-10 Most Cited Paper 10 / 208 Accepted Papers
    [CITE]

Publications in 2020

[1] Whole-Chain Recommendations
    Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
    CIKM’20, Proceedings of the 29th ACM International Conference on Information & Knowledge Management
    [CITE]

[2] Jointly learning to recommend and advertise
    Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang
    KDD’20, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
    [CITE]

[3] Deep reinforcement learning for information retrieval: Fundamentals and advances
    Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel
    SIGIR’20, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[4] Automated embedding size search in deep recommender systems
    Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang
    SIGIR’20, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

[5] Neural interactive collaborative filtering
    Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
    SIGIR’20, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
    [CITE]

Publications in 2019 and before

[1] Deep reinforcement learning for search, recommendation, and online advertising: a survey
    Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin
    ACM SIGWEB Newsletter
    Top-2 Most Cited Paper 2 / 551 in History
    [CITE]

[2] Deep reinforcement learning for page-wise recommendations
    Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang
    RecSys’18, Proceedings of the 12th ACM Conference on Recommender Systems
    Top-1 Most Cited Paper 1 / 117 Accepted Papers
    [CITE]

[3] Recommendations with negative feedback via pairwise deep reinforcement learning
    Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin
    KDD’18, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
    Top-20 Most Cited Paper 19 / 294 Accepted Papers
    [CITE]

[4] Crime in urban areas: A data mining perspective
    Xiangyu Zhao, Jiliang Tang
    ACM SIGKDD Explorations Newsletter
    [CITE]

[5] Deep reinforcement learning for list-wise recommendations
    Xiangyu Zhao, Liang Zhang, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang
    RL4KD’19, 1st Workshop on Deep Reinforcement Learning for Knowledge Discovery
    [CITE]

[6] Exploring transfer learning for crime prediction
    Xiangyu Zhao, Jiliang Tang
    ICDMW’17, 2017 IEEE International Conference on Data Mining Workshops
    [CITE]

[7] Incorporating spatio-temporal smoothness for air quality inference
    Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo
    ICDM’17, 2017 IEEE International Conference on Data Mining
    [CITE]

[8] Modeling temporal-spatial correlations for crime prediction
    Xiangyu Zhao, Jiliang Tang
    CIKM’17, Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
    Top-20 Most Cited Paper 20 / 350 Accepted Papers
    [CITE]

[9] Cosolorec: Joint factor model with content, social, location for heterogeneous point-of-interest recommendation
    Hao Guo, Xin Li, Ming He, Xiangyu Zhao, Guiquan Liu, Guandong Xu
    KSEM’16, International Conference on Knowledge Science, Engineering and Management
    [CITE]

[10] Taxi driving behavior analysis in latent vehicle-to-vehicle networks: A social influence perspective
    Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong
    KDD’16, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
    [CITE]

[11] Exploring the choice under conflict for social event participation
    Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo
    DASFAA’16, International conference on database systems for advanced applications
    [CITE]

[12] Identifying effective multiple spreaders by coloring complex networks
    Xiangyu Zhao, Bin Huang, Ming Tang, Haifeng Zhang, Duanbing Chen
    EPL, Europhysics Letters
    [CITE]

[13] Coloring the complex networks and its application for immunization strategy
    Bin Huang, Xianyu Zhao, Kai Qi, Ming Tang
    Acta Physica Sinica
    [CITE]