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 | 106 | 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 | 43 | 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 | 33 | 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 | 5 | 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 |
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model W Lin, N Zhou, Y Wang, J Li, H Xiong, L Liu arXiv preprint arXiv:2502.11798, 2025 | | 2025 |
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 |
Content-Aware Efficient Learner for Audio-Visual Emotion Recognition G Huang, W Lin, L Liu International Conference on Social Robotics, 31-40, 2024 | | 2024 |