| Neural collaborative reasoning H Chen, S Shi, Y Li, Y Zhang Proceedings of the Web Conference 2021, 1516-1527, 2021 | 74 | 2021 |
| Neural logic reasoning S Shi, H Chen, W Ma, J Mao, M Zhang, Y Zhang Proceedings of the 29th ACM International Conference on Information …, 2020 | 74 | 2020 |
| Generate natural language explanations for recommendation H Chen, X Chen, S Shi, Y Zhang arXiv preprint arXiv:2101.03392, 2021 | 55 | 2021 |
| Phrase dependency relational graph attention network for Aspect-based Sentiment Analysis H Wu, Z Zhang, S Shi, Q Wu, H Song Knowledge-Based Systems 236, 107736, 2022 | 52 | 2022 |
| Attention-based adaptive model to unify warm and cold starts recommendation S Shi, M Zhang, Y Liu, S Ma Proceedings of the 27th ACM international conference on information and …, 2018 | 51 | 2018 |
| Beyond user embedding matrix: Learning to hash for modeling large-scale users in recommendation S Shi, W Ma, M Zhang, Y Zhang, X Yu, H Shan, Y Liu, S Ma Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 32 | 2020 |
| Graph collaborative reasoning H Chen, Y Li, S Shi, S Liu, H Zhu, Y Zhang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 31 | 2022 |
| Adaptive feature sampling for recommendation with missing content feature values S Shi, M Zhang, X Yu, Y Zhang, B Hao, Y Liu, S Ma Proceedings of the 28th ACM International Conference on Information and …, 2019 | 24 | 2019 |
| ViVo: Video-augmented dictionary for vocabulary learning Y Zhu, Y Wang, C Yu, S Shi, Y Zhang, S He, P Zhao, X Ma, Y Shi Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 19 | 2017 |
| WG4Rec: Modeling textual content with word graph for news recommendation S Shi, W Ma, Z Wang, M Zhang, K Fang, J Xu, Y Liu, S Ma Proceedings of the 30th ACM International Conference on Information …, 2021 | 16 | 2021 |
| Neural logic networks S Shi, H Chen, M Zhang, Y Zhang arXiv preprint arXiv:1910.08629, 2019 | 13 | 2019 |
| How integration helps on cold-start recommendations C Guo, H Lu, S Shi, B Hao, B Liu, M Zhang, Y Liu, S Ma Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017 | 12 | 2017 |
| Modularized syntactic neural networks for sentence classification H Wu, Y Liu, S Shi Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 8 | 2020 |
| Wide & deep learning in job recommendation: An empirical study S Shi, M Zhang, H Lu, Y Liu, S Ma Asia Information Retrieval Symposium, 112-124, 2017 | 5 | 2017 |
| Explainable neural rule learning S Shi, Y Xie, Z Wang, B Ding, Y Li, M Zhang Proceedings of the ACM Web Conference 2022, 3031-3041, 2022 | 4 | 2022 |
| A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing B Hao, M Zhang, W Ma, S Shi, X Yu, H Shan, Y Liu, S Ma arXiv preprint arXiv:2106.06467, 2021 | 4 | 2021 |
| Negative feedback aware hybrid sequential neural recommendation model B Hao, M Zhang, W Ma, S Shi, X Yu, H Shan, Y Liu, S Ma CCF International Conference on Natural Language Processing and Chinese …, 2020 | 1 | 2020 |
| 细节决定成败: 推荐系统实验反思与讨论 施韶韵， 王晨阳， 马为之， 张敏， 刘奕群， 马少平 信息安全学报 6 (5), 52-67, 2021 | | 2021 |
| Key -Gram Extractions and Analyses of Different Registers Based on Attention Network H Wu, Y Liu, S Shi, Q Wu, Y Huang Journal of Applied Mathematics 2021, 1-16, 2021 | | 2021 |
Min ZhangProfessor, Tsinghua UniversityVerified email at tsinghua.edu.cn
