| A comprehensive survey on segment anything model for vision and beyond C Zhang, L Liu, Y Cui, G Huang, W Lin, Y Yang, Y Hu arXiv preprint arXiv:2305.08196, 2023 | 97 | 2023 |
| AdaFS: Adaptive feature selection in deep recommender system W Lin, X Zhao, Y Wang, T Xu, X Wu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 41 | 2022 |
| Autodenoise: Automatic data instance denoising for recommendations W Lin, X Zhao, Y Wang, Y Zhu, W Wang Proceedings of the ACM Web Conference 2023, 1003-1011, 2023 | 30 | 2023 |
| Segment anything for videos: A systematic survey C Zhang, Y Cui, W Lin, G Huang, Y Rong, L Liu, S Shan arXiv preprint arXiv:2408.08315, 2024 | 3 | 2024 |
| Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness W Lin, L Liu, S Wei, J Li, H Xiong NeurIPS2024, arXiv preprint arXiv:2405.20291, 2024 | 3 | 2024 |
| Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation W Lin, L Liu, J Li, H Xiong AAAI2025, arXiv preprint arXiv:2408.15861, 2024 | 1 | 2024 |
| Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition N Zhou, W Lin, L Liu ICASSP2025, arXiv preprint arXiv:2502.01152, 2025 | | 2025 |
| for Audio-Visual Emotion Recognition G Huang, W Lin, L Liu Social Robotics: 16th International Conference, ICSR+ InnoBiz 2024, Shenzhen …, 0 | | |
Li LiuThe Hong Kong University of Science and Technology (Guangzhou)Verified email at hkust-gz.edu.cn