| Skeleton aware multi-modal sign language recognition S Jiang, B Sun, L Wang, Y Bai, K Li, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 178 | 2021 |
| Recent advances on neural network pruning at initialization H Wang, C Qin, Y Bai, Y Zhang, Y Fu arXiv preprint arXiv:2103.06460, 2021 | 50 | 2021 |
| Emerging paradigms of neural network pruning H Wang, C Qin, Y Bai, Y Zhang, Y Fu arXiv preprint arXiv:2103.06460, 2021 | 39 | 2021 |
| Sign language recognition via skeleton-aware multi-model ensemble S Jiang, B Sun, L Wang, Y Bai, K Li, Y Fu arXiv preprint arXiv:2110.06161, 2021 | 36 | 2021 |
| Dual lottery ticket hypothesis Y Bai, H Wang, Z Tao, K Li, Y Fu arXiv preprint arXiv:2203.04248, 2022 | 31 | 2022 |
| Correlative channel-aware fusion for multi-view time series classification Y Bai, L Wang, Z Tao, S Li, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6714-6722, 2021 | 24 | 2021 |
| Why is the state of neural network pruning so confusing? on the fairness, comparison setup, and trainability in network pruning H Wang, C Qin, Y Bai, Y Fu arXiv preprint arXiv:2301.05219, 2023 | 16 | 2023 |
| Collaborative attention mechanism for multi-view action recognition Y Bai, Z Tao, L Wang, S Li, Y Yin, Y Fu arXiv preprint arXiv:2009.06599, 2020 | 14 | 2020 |
| Generative view-correlation adaptation for semi-supervised multi-view learning Y Liu, L Wang, Y Bai, C Qin, Z Ding, Y Fu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 14 | 2020 |
| Making reconstruction-based method great again for video anomaly detection Y Wang, C Qin, Y Bai, Y Xu, X Ma, Y Fu 2022 IEEE International Conference on Data Mining (ICDM), 1215-1220, 2022 | 12 | 2022 |
| Parameter-efficient masking networks Y Bai, H Wang, X Ma, Y Zhang, Z Tao, Y Fu Advances in Neural Information Processing Systems 35, 10217-10229, 2022 | 9 | 2022 |
| Superfront: From low-resolution to high-resolution frontal face synthesis Y Yin, JP Robinson, S Jiang, Y Bai, C Qin, Y Fu Proceedings of the 29th ACM International Conference on Multimedia, 1609-1617, 2021 | 8 | 2021 |
| Dynamical isometry: The missing ingredient for neural network pruning H Wang, C Qin, Y Bai, Y Fu arXiv preprint arXiv:2105.05916, 2021 | 7 | 2021 |
| Look more but care less in video recognition Y Zhang, Y Bai, H Wang, Y Xu, Y Fu Advances in Neural Information Processing Systems 35, 30813-30825, 2022 | 6 | 2022 |
| Self-supervision meets adversarial perturbation: A novel framework for anomaly detection Y Wang, C Qin, R Wei, Y Xu, Y Bai, Y Fu Proceedings of the 31st ACM International Conference on Information …, 2022 | 6 | 2022 |
| Collaborative attention mechanism for multi-modal time series classification Y Bai, Z Tao, L Wang, S Li, Y Yin, Y Fu Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 6 | 2022 |
| SLAP: Self-supervised Anomaly Detection with Adversarial Perturbation Y Wang, C Qin, R Wei, Y Xu, Y Bai, Y Fu arXiv preprint arXiv:2111.12896, 2021 | 6 | 2021 |
| Human motion segmentation via velocity-sensitive dual-side auto-encoder Y Bai, L Wang, Y Liu, Y Yin, H Di, Y Fu IEEE Transactions on Image Processing 32, 524-536, 2022 | 4 | 2022 |
| Dual-side auto-encoder for high-dimensional time series segmentation Y Bai, L Wang, Y Liu, Y Yin, Y Fu 2020 IEEE International Conference on Data Mining (ICDM), 918-923, 2020 | 3 | 2020 |
| Multi-view time series classification via global-local correlative channel-aware fusion mechanism Y Bai, L Wang, Z Tao, S Li, Y Fu arXiv preprint ArXiv:1911.11561, 2019 | 3 | 2019 |
