| Hrank: Filter pruning using high-rank feature map M Lin, R Ji, Y Wang, Y Zhang, B Zhang, Y Tian, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 981 | 2020 |
| Deep relative distance learning: Tell the difference between similar vehicles H Liu, Y Tian, Y Yang, L Pang, T Huang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 870 | 2016 |
| Incorporating learnable membrane time constant to enhance learning of spiking neural networks W Fang, Z Yu, Y Chen, T Masquelier, T Huang, Y Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 656 | 2021 |
| Masked autoencoders for point cloud self-supervised learning Y Pang, W Wang, FEH Tay, W Liu, Y Tian, L Yuan European conference on computer vision, 604-621, 2022 | 530 | 2022 |
| Deep residual learning in spiking neural networks W Fang, Z Yu, Y Chen, T Huang, T Masquelier, Y Tian Advances in Neural Information Processing Systems 34, 21056-21069, 2021 | 520 | 2021 |
| Unsupervised cross-dataset transfer learning for person re-identification P Peng, T Xiang, Y Wang, M Pontil, S Gong, T Huang, Y Tian Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 454 | 2016 |
| Deep transfer learning for person re-identification H Chen, Y Wang, Y Shi, K Yan, M Geng, Y Tian, T Xiang 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-5, 2018 | 453* | 2018 |
| Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence W Fang, Y Chen, J Ding, Z Yu, T Masquelier, D Chen, L Huang, H Zhou, ... Science Advances 9 (40), eadi1480, 2023 | 382* | 2023 |
| Ad-cluster: Augmented discriminative clustering for domain adaptive person re-identification Y Zhai, S Lu, Q Ye, X Shan, J Chen, R Ji, Y Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 369 | 2020 |
| Part-regularized near-duplicate vehicle re-identification B He, J Li, Y Zhao, Y Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 362 | 2019 |
| Can we beat ddos attacks in clouds? S Yu, Y Tian, S Guo, D Wu IEEE Transactions on Parallel and Distributed Systems 25 (9), 2245-2254, 2014 | 322 | 2014 |
| Channel pruning via automatic structure search M Lin, R Ji, Y Zhang, B Zhang, Y Wu, Y Tian International Joint Conference on Artificial Intelligence, 673-679, 2020 | 317 | 2020 |
| Adversarial reciprocal points learning for open set recognition G Chen, P Peng, X Wang, Y Tian IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 314 | 2021 |
| Spikformer: When spiking neural network meets transformer Z Zhou, Y Zhu, C He, Y Wang, S Yan, Y Tian, L Yuan Proc. The Eleventh International Conference on Learning Representations, 2022 | 268* | 2022 |
| PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation W Zeng, X Ren, T Su, H Wang, Y Liao, Z Wang, X Jiang, ZZ Yang, K Wang, ... arXiv preprint arXiv:2104.12369, 2021 | 247 | 2021 |
| Sequential deep trajectory descriptor for action recognition with three-stream CNN Y Shi, Y Tian, Y Wang, T Huang IEEE Transactions on Multimedia 19 (7), 1510-1520, 2017 | 246 | 2017 |
| Learning open set network with discriminative reciprocal points G Chen, L Qiao, Y Shi, P Peng, J Li, T Huang, S Pu, Y Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 245 | 2020 |
| Transductive episodic-wise adaptive metric for few-shot learning L Qiao, Y Shi, J Li, Y Wang, T Huang, Y Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 243 | 2019 |
| Greedy hash: Towards fast optimization for accurate hash coding in cnn S Su, C Zhang, K Han, Y Tian Advances in neural information processing systems 31, 2018 | 240 | 2018 |
| Multiple expert brainstorming for domain adaptive person re-identification Y Zhai, Q Ye, S Lu, M Jia, R Ji, Y Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 239 | 2020 |
