| Neural news recommendation with long-and short-term user representations M An, F Wu, C Wu, K Zhang, Z Liu, X Xie Proceedings of the 57th annual meeting of the association for computational …, 2019 | 297 | 2019 |
| gmission: A general spatial crowdsourcing platform Z Chen, R Fu, Z Zhao, Z Liu, L Xia, L Chen, P Cheng, CC Cao, Y Tong, ... Proceedings of the VLDB Endowment 7 (13), 1629-1632, 2014 | 163 | 2014 |
| Fine-grained interest matching for neural news recommendation H Wang, F Wu, Z Liu, X Xie Proceedings of the 58th annual meeting of the association for computational …, 2020 | 116 | 2020 |
| Leveraging demonstrations for reinforcement recommendation reasoning over knowledge graphs K Zhao, X Wang, Y Zhang, L Zhao, Z Liu, C Xing, X Xie Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 102 | 2020 |
| C-pack: Packaged resources to advance general chinese embedding S Xiao, Z Liu, P Zhang, N Muennighof arXiv preprint arXiv:2309.07597, 2023 | 92 | 2023 |
| Graphformers: Gnn-nested transformers for representation learning on textual graph J Yang, Z Liu, S Xiao, C Li, D Lian, S Agrawal, A Singh, G Sun, X Xie Advances in Neural Information Processing Systems 34, 28798-28810, 2021 | 90 | 2021 |
| RetroMAE: Pre-training retrieval-oriented language models via masked auto-encoder S Xiao, Z Liu, Y Shao, Z Cao arXiv preprint arXiv:2205.12035, 2022 | 86 | 2022 |
| 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 | 80 | 2021 |
| 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 | 75 | 2020 |
| Heterogeneous similarity graph neural network on electronic health records Z Liu, X Li, H Peng, L He, SY Philip 2020 IEEE international conference on big data (big data), 1196-1205, 2020 | 67 | 2020 |
| Dynamic graph collaborative filtering X Li, M Zhang, S Wu, Z Liu, L Wang, SY Philip 2020 IEEE international conference on data mining (ICDM), 322-331, 2020 | 64 | 2020 |
| Context-aware academic collaborator recommendation Z Liu, X Xie, L Chen Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 64 | 2018 |
| 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 | 53 | 2021 |
| Cleaning uncertain data with a noisy crowd CJ Zhang, L Chen, Y Tong, Z Liu 2015 IEEE 31st International Conference on Data Engineering, 6-17, 2015 | 53 | 2015 |
| A neural corpus indexer for document retrieval Y Wang, Y Hou, H Wang, Z Miao, S Wu, Q Chen, Y Xia, C Chi, G Zhao, ... Advances in Neural Information Processing Systems 35, 25600-25614, 2022 | 47 | 2022 |
| Adsgnn: Behavior-graph augmented relevance modeling in sponsored search C Li, B Pang, Y Liu, H Sun, Z Liu, X Xie, T Yang, Y Cui, L Zhang, Q Zhang Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 41 | 2021 |
| Retrieve anything to augment large language models P Zhang, S Xiao, Z Liu, Z Dou, JY Nie arXiv preprint arXiv:2310.07554, 2023 | 32 | 2023 |
| When large language models meet personalization: Perspectives of challenges and opportunities J Chen, Z Liu, X Huang, C Wu, Q Liu, G Jiang, Y Pu, Y Lei, X Chen, ... arXiv preprint arXiv:2307.16376, 2023 | 32 | 2023 |
| Sampling-decomposable generative adversarial recommender B Jin, D Lian, Z Liu, Q Liu, J Ma, X Xie, E Chen Advances in Neural Information Processing Systems 33, 22629-22639, 2020 | 31 | 2020 |
| Training large-scale news recommenders with pretrained language models in the loop S Xiao, Z Liu, Y Shao, T Di, B Middha, F Wu, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 28 | 2022 |
Xing Xie 谢幸Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF FellowDirección de correo verificada de microsoft.com
