| Graph neural networks for social recommendation W Fan, Y Ma, Q Li, Y He, E Zhao, J Tang, D Yin The world wide web conference, 417-426, 2019 | 2300 | 2019 |
| A survey on dialogue systems: Recent advances and new frontiers H Chen, X Liu, D Yin, J Tang Acm Sigkdd Explorations Newsletter 19 (2), 25-35, 2017 | 954 | 2017 |
| Detection of harassment on web 2.0 D Yin, Z Xue, L Hong, BD Davison, A Kontostathis, L Edwards Proceedings of the Content Analysis in the WEB 2 (0), 1-7, 2009 | 560 | 2009 |
| 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 | 437 | 2018 |
| Explainability for large language models: A survey H Zhao, H Chen, F Yang, N Liu, H Deng, H Cai, S Wang, D Yin, M Du ACM Transactions on Intelligent Systems and Technology 15 (2), 1-38, 2024 | 431 | 2024 |
| Recommendations with negative feedback via pairwise deep reinforcement learning X Zhao, L Zhang, Z Ding, L Xia, J Tang, D Yin Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 418 | 2018 |
| Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures W Lei, X Jin, MY Kan, Z Ren, X He, D Yin Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 401 | 2018 |
| Is ChatGPT good at search? investigating large language models as re-ranking agents W Sun, L Yan, X Ma, S Wang, P Ren, Z Chen, D Yin, Z Ren arXiv preprint arXiv:2304.09542, 2023 | 363 | 2023 |
| Hypergraph contrastive collaborative filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, J Huang Proceedings of the 45th International ACM SIGIR conference on research and …, 2022 | 357 | 2022 |
| Reinforcement learning to optimize long-term user engagement in recommender systems L Zou, L Xia, Z Ding, J Song, W Liu, D Yin Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 291 | 2019 |
| Streaming graph neural networks Y Ma, Z Guo, Z Ren, J Tang, D Yin Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 286 | 2020 |
| Exploring the potential of large language models (llms) in learning on graphs Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ... ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024 | 282 | 2024 |
| Streaming recommender systems S Chang, Y Zhang, J Tang, D Yin, Y Chang, MA Hasegawa-Johnson, ... Proceedings of the 26th international conference on world wide web, 381-389, 2017 | 253 | 2017 |
| 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 | 199 | 2017 |
| Knowledge diffusion for neural dialogue generation S Liu, H Chen, Z Ren, Y Feng, Q Liu, D Yin Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 190 | 2018 |
| A graph neural network framework for social recommendations W Fan, Y Ma, Q Li, J Wang, G Cai, J Tang, D Yin IEEE Transactions on Knowledge and Data Engineering 34 (5), 2033-2047, 2020 | 188 | 2020 |
| A survey on rag meeting llms: Towards retrieval-augmented large language models W Fan, Y Ding, L Ning, S Wang, H Li, D Yin, TS Chua, Q Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 179 | 2024 |
| Micro behaviors: A new perspective in e-commerce recommender systems M Zhou, Z Ding, J Tang, D Yin Proceedings of the eleventh ACM international conference on web search and …, 2018 | 175 | 2018 |
| Contrastive meta learning with behavior multiplicity for recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 171 | 2022 |
| Ranking relevance in yahoo search D Yin, Y Hu, J Tang, T Daly, M Zhou, H Ouyang, J Chen, C Kang, H Deng, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 169 | 2016 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
