| Self-supervised graph learning for recommendation J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 1126 | 2021 |
| xdeepfm: Combining explicit and implicit feature interactions for recommender systems J Lian, X Zhou, F Zhang, Z Chen, X Xie, G Sun Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 1109 | 2018 |
| Mind: A large-scale dataset for news recommendation F Wu, Y Qiao, JH Chen, C Wu, T Qi, J Lian, D Liu, X Xie, J Gao, W Wu, ... Proceedings of the 58th annual meeting of the association for computational …, 2020 | 518 | 2020 |
| Content-based collaborative filtering for news topic recommendation Z Lu, Z Dou, J Lian, X Xie, Q Yang Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 201 | 2015 |
| Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. Z Yu, J Lian, A Mahmoody, G Liu, X Xie IJCAI 7, 4213-4219, 2019 | 176 | 2019 |
| CCCFNet: A content-boosted collaborative filtering neural network for cross domain recommender systems J Lian, F Zhang, X Xie, G Sun Proceedings of the 26th international conference on World Wide Web companion …, 2017 | 156 | 2017 |
| Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. J Lian, F Zhang, X Xie, G Sun IJCAI, 3805-3811, 2018 | 132 | 2018 |
| Large language models understand and can be enhanced by emotional stimuli C Li, J Wang, Y Zhang, K Zhu, W Hou, J Lian, F Luo, Q Yang, X Xie arXiv preprint arXiv:2307.11760, 2023 | 127* | 2023 |
| Lighter and better: low-rank decomposed self-attention networks for next-item recommendation X Fan, Z Liu, J Lian, WX Zhao, X Xie, JR Wen Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 109 | 2021 |
| KRED: Knowledge-aware document representation for news recommendations D Liu, J Lian, S Wang, Y Qiao, JH Chen, G Sun, X Xie Proceedings of the 14th ACM conference on recommender systems, 200-209, 2020 | 104 | 2020 |
| Relation-aware graph convolutional networks for agent-initiated social e-commerce recommendation F Xu, J Lian, Z Han, Y Li, Y Xu, X Xie Proceedings of the 28th ACM international conference on information and …, 2019 | 91 | 2019 |
| Lightrec: A memory and search-efficient recommender system D Lian, H Wang, Z Liu, J Lian, E Chen, X Xie Proceedings of The Web Conference 2020, 695-705, 2020 | 89 | 2020 |
| Graph convolution machine for context-aware recommender system J Wu, X He, X Wang, Q Wang, W Chen, J Lian, X Xie Frontiers of Computer Science 16 (6), 166614, 2022 | 77 | 2022 |
| Recommender ai agent: Integrating large language models for interactive recommendations X Huang, J Lian, Y Lei, J Yao, D Lian, X Xie arXiv preprint arXiv:2308.16505, 2023 | 68 | 2023 |
| Reinforced anchor knowledge graph generation for news recommendation reasoning D Liu, J Lian, Z Liu, X Wang, G Sun, X Xie Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 64 | 2021 |
| Reinforcement subgraph reasoning for fake news detection R Yang, X Wang, Y Jin, C Li, J Lian, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 60 | 2022 |
| Negative sampling for contrastive representation learning: A review L Xu, J Lian, WX Zhao, M Gong, L Shou, D Jiang, X Xie, JR Wen arXiv preprint arXiv:2206.00212, 2022 | 40 | 2022 |
| Collaborative metric learning with memory network for multi-relational recommender systems X Zhou, D Liu, J Lian, X Xie arXiv preprint arXiv:1906.09882, 2019 | 36 | 2019 |
| Practical lessons for job recommendations in the cold-start scenario J Lian, F Zhang, M Hou, H Wang, X Xie, G Sun Proceedings of the recommender systems challenge 2017, 1-6, 2017 | 36 | 2017 |
| Restaurant survival analysis with heterogeneous information J Lian, F Zhang, X Xie, G Sun Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 36 | 2017 |
Xing Xie 谢幸Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF Fellow確認したメール アドレス: microsoft.com