| Robust recommender system: a survey and future directions K Zhang, Q Cao, F Sun, Y Wu, S Tao, H Shen, X Cheng arXiv preprint arXiv:2309.02057, 2023 | 17 | 2023 |
| Dyted: Disentangled representation learning for discrete-time dynamic graph K Zhang, Q Cao, G Fang, B Xu, H Zou, H Shen, X Cheng Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 15 | 2023 |
| Lorec: Combating poisons with large language model for robust sequential recommendation K Zhang, Q Cao, Y Wu, F Sun, H Shen, X Cheng Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 6* | 2024 |
| Improving the shortest plank: Vulnerability-aware adversarial training for robust recommender system K Zhang, Q Cao, Y Wu, F Sun, H Shen, X Cheng Proceedings of the 18th ACM Conference on Recommender Systems, 680-689, 2024 | 2 | 2024 |
| Accelerating the surrogate retraining for poisoning attacks against recommender systems Y Wu, Q Cao, S Tao, K Zhang, F Sun, H Shen Proceedings of the 18th ACM Conference on Recommender Systems, 701-711, 2024 | 2 | 2024 |
| Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation K Zhang, Q Cao, Y Wu, F Sun, H Shen, X Cheng NeurIPS2024, 2024 | 1 | 2024 |
| The 1st Workshop on Human-Centered Recommender Systems K Zhang, Y Wu, D Su, Y Ge, S Liu, Q Cao, Z Ren, F Sun arXiv preprint arXiv:2411.14760, 2024 | | 2024 |
| PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks Y Chen, Q Cao, K Zhang, X Liu, H Shen Findings of the Association for Computational Linguistics: EMNLP 2024, 5837-5849, 2024 | | 2024 |
| DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning. K Zhang, Q Cao, G Fang, B Xu, H Zou, H Shen, X Cheng SIGKDD 23, 2023 | | 2023 |
Qi CaoAssociate Professor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, ChinaVerified email at ict.ac.cn
