| Deep reinforcement learning for page-wise recommendations X Zhao, L Xia, L Zhang, Z Ding, D Yin, J Tang Proceedings of the 12th ACM conference on recommender systems, 95-103, 2018 | 386 | 2018 |
| Recommendations with negative feedback via pairwise deep reinforcement learning X Zhao, L Zhang, Z Ding, L Xia, J Tang, D Yin KDD'18, Proceedings of the 24th ACM SIGKDD International Conference on …, 2018 | 370 | 2018 |
| Towards Long-term Fairness in Recommendation Y Ge, S Liu, R Gao, Y Xian, Y Li, X Zhao, C Pei, F Sun, J Ge, W Ou, ... WSDM'21, Proceedings of the 14th ACM International Conference on Web Search …, 2021 | 200 | 2021 |
| Deep reinforcement learning for list-wise recommendations X Zhao, L Zhang, L Xia, Z Ding, D Yin, J Tang arXiv preprint arXiv:1801.00209, 2017 | 179 | 2017 |
| Neural interactive collaborative filtering L Zou, L Xia, Y Gu, X Zhao, W Liu, JX Huang, D Yin SIGIR'20, Proceedings of the 43rd International ACM SIGIR Conference on …, 2020 | 118 | 2020 |
| Modeling temporal-spatial correlations for crime prediction X Zhao, J Tang CIKM'17, Proceedings of the 2017 ACM on Conference on Information and …, 2017 | 117 | 2017 |
| Deep reinforcement learning for search, recommendation, and online advertising: a survey X Zhao, L Xia, J Tang, D Yin ACM SIGWEB Newsletter, 4, 2019 | 112* | 2019 |
| DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems X Zhao, C Gu, H Zhang, X Yang, X Liu, H Liu, J Tang AAAI'21, Proceedings of the AAAI Conference on Artificial Intelligence 35 (1 …, 2021 | 111* | 2021 |
| Recommender systems in the era of large language models (llms) QL Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang ... arXiv preprint arXiv:2307.02046, 2023 | 100 | 2023 |
| AutoEmb: Automated embedding dimensionality search in streaming recommendations X Zhao, C Wang, M Chen, X Zheng, X Liu, J Tang ICDM'21, Proceedings of the 21st International Conference on Data Mining, 2020 | 100 | 2020 |
| AutoDim: Field-aware Embedding Dimension Search in Recommender Systems X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long WWW'21, Proceedings of the Web Conference 2021, 3015-3022, 2021 | 84* | 2021 |
| Crime in urban areas: A data mining perspective X Zhao, J Tang ACM SIGKDD Explorations Newsletter 20 (1), 1-12, 2018 | 77 | 2018 |
| Graph Trend Networks for Recommendations W Fan, X Liu, W Jin, X Zhao, J Tang, Q Li SIGIR'22, Proceedings of the 45th International ACM SIGIR Conference on …, 2022 | 76* | 2022 |
| Whole-Chain Recommendations X Zhao, L Xia, L Zou, H Liu, D Yin, J Tang CIKM'20, Proceedings of the 29th ACM International Conference on Information …, 2020 | 73 | 2020 |
| Automated embedding size search in deep recommender systems H Liu*, X Zhao*, C Wang, X Liu, J Tang SIGIR'20, Proceedings of the 43rd International ACM SIGIR Conference on …, 2020 | 72 | 2020 |
| Identifying effective multiple spreaders by coloring complex networks X Zhao, B Huang, M Tang, H Zhang, D Chen EPL (Europhysics Letters) 108 (6), 68005, 2015 | 70 | 2015 |
| Taxi driving behavior analysis in latent vehicle-to-vehicle networks: A social influence perspective T Xu, H Zhu, X Zhao, Q Liu, H Zhong, E Chen, H Xiong KDD'16, Proceedings of the 22nd ACM SIGKDD International Conference on …, 2016 | 66 | 2016 |
| Automated self-supervised learning for graphs W Jin, X Liu, X Zhao, Y Ma, N Shah, J Tang ICLR'22, Proceedings of the 10th International Conference on Learning …, 2022 | 65 | 2022 |
| Attacking Black-box Recommendations via Copying Cross-domain User Profiles W Fan, T Derr, X Zhao, Y Ma, H Liu, J Wang, J Tang, Q Li ICDE'21, 2021 IEEE 37th International Conference on Data Engineering, 1583-1594, 2021 | 64 | 2021 |
| Jointly learning to recommend and advertise X Zhao, X Zheng, X Yang, X Liu, J Tang KDD'20, Proceedings of the 26th ACM SIGKDD International Conference on …, 2020 | 64 | 2020 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State University在 msu.edu 的電子郵件地址已通過驗證
