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| 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 | 952 | 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 | 939 | 2021 |
| Masked autoencoders for 3d point cloud self-supervised learning Y Pang, EHF Tay, L Yuan, Z Chen World Scientific Annual Review of Artificial Intelligence 1, 2440001, 2023 | 856 | 2023 |
| 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 | 845 | 2021 |
| 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 | 658* | 2023 |
| 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 | 501 | 2022 |
| 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 | 479 | 2021 |
| 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 | 467* | 2018 |
| 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 | 459 | 2016 |
| 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 | 398 | 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 | 398 | 2019 |
| 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 | 351 | 2020 |
| 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 | 331 | 2014 |
| Attention spiking neural networks M Yao, G Zhao, H Zhang, Y Hu, L Deng, Y Tian, B Xu, G Li IEEE transactions on pattern analysis and machine intelligence 45 (8), 9393-9410, 2023 | 328 | 2023 |
| Learning open set network with discriminative reciprocal points G Chen, L Qiao, Y Shi, P Peng, J Li, T Huang, S Pu, Y Tian European conference on computer vision, 507-522, 2020 | 323 | 2020 |
| Large-scale multi-modal pre-trained models: A comprehensive survey X Wang, G Chen, G Qian, P Gao, XY Wei, Y Wang, Y Tian, W Gao Machine Intelligence Research 20 (4), 447-482, 2023 | 318 | 2023 |
| Spike-driven transformer M Yao, J Hu, Z Zhou, L Yuan, Y Tian, B Xu, G Li Advances in neural information processing systems 36, 64043-64058, 2023 | 314 | 2023 |
| Towards more flexible and accurate object tracking with natural language: Algorithms and benchmark X Wang, X Shu, Z Zhang, B Jiang, Y Wang, Y Tian, F Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 314 | 2021 |
| 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 | 309 | 2021 |
