| DisenKGAT: knowledge graph embedding with disentangled graph attention network J Wu, W Shi, X Cao, J Chen, W Lei, F Zhang, W Wu, X He Proceedings of the 30th ACM international conference on information …, 2021 | 71 | 2021 |
| On the theories behind hard negative sampling for recommendation W Shi, J Chen, F Feng, J Zhang, J Wu, C Gao, X He Proceedings of the ACM Web Conference 2023, 812-822, 2023 | 28 | 2023 |
| Understanding contrastive learning via distributionally robust optimization J Wu, J Chen, J Wu, W Shi, X Wang, X He Advances in Neural Information Processing Systems 36, 2024 | 20 | 2024 |
| Bsl: Understanding and improving softmax loss for recommendation J Wu, J Chen, J Wu, W Shi, J Zhang, X Wang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 816-830, 2024 | 6 | 2024 |
| Discriminative-Invariant Representation Learning for Unbiased Recommendation. H Pan, J Chen, F Feng, W Shi, J Wu, X He IJCAI, 2270-2278, 2023 | 6 | 2023 |
| Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning W Shi, X He, Y Zhang, C Gao, X Li, J Zhang, Q Wang, F Feng arXiv preprint arXiv:2403.00843, 2024 | 5 | 2024 |
| FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion W Shi, J Wu, X Cao, J Chen, W Lei, W Wu, X He arXiv preprint arXiv:2302.04088, 2023 | 3 | 2023 |
| Uplift Modeling for Target User Attacks on Recommender Systems W Wang, C Wang, F Feng, W Shi, D Ding, TS Chua Proceedings of the ACM on Web Conference 2024, 3343-3354, 2024 | 1 | 2024 |
| Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation W Shi, C Wang, F Feng, Y Zhang, W Wang, J Wu, X He Proceedings of the ACM on Web Conference 2024, 3253-3264, 2024 | 1 | 2024 |
| Direct Multi-Turn Preference Optimization for Language Agents W Shi, M Yuan, J Wu, Q Wang, F Feng arXiv preprint arXiv:2406.14868, 2024 | | 2024 |
Xiangnan HeUniversity of Science and Technology of China, School of Data Science在 ustc.edu.cn 的电子邮件经过验证
