| Deep Hashing for Compact Binary Codes Learning JZ Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin IEEE Conference on Computer Vision and Pattern Recognition, 2475-2483, 2015 | 642* | 2015 |
| Dynamicvit: Efficient vision transformers with dynamic token sparsification Y Rao, W Zhao, B Liu, J Lu, J Zhou, CJ Hsieh Advances in neural information processing systems 34, 13937-13949, 2021 | 621 | 2021 |
| Development and evaluation of an artificial intelligence system for COVID-19 diagnosis C Jin, W Chen, Y Cao, Z Xu, Z Tan, X Zhang, L Deng, C Zheng, J Zhou, ... Nature communications 11 (1), 5088, 2020 | 610 | 2020 |
| Point-bert: Pre-training 3d point cloud transformers with masked point modeling X Yu, L Tang, Y Rao, T Huang, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 592 | 2022 |
| Runtime neural pruning J Lin, Y Rao, J Lu, J Zhou Advances in neural information processing systems 30, 2017 | 587 | 2017 |
| Neighborhood repulsed metric learning for kinship verification J Lu, X Zhou, YP Tan, Y Shang, J Zhou IEEE transactions on pattern analysis and machine intelligence 36 (2), 331-345, 2013 | 525 | 2013 |
| Denseclip: Language-guided dense prediction with context-aware prompting Y Rao, W Zhao, G Chen, Y Tang, Z Zhu, G Huang, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 509 | 2022 |
| Pointr: Diverse point cloud completion with geometry-aware transformers X Yu, Y Rao, Z Wang, Z Liu, J Lu, J Zhou Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 471 | 2021 |
| Deep progressive reinforcement learning for skeleton-based action recognition Y Tang, Y Tian, J Lu, P Li, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 468 | 2018 |
| Learning compact binary face descriptor for face recognition J Lu, VE Liong, X Zhou, J Zhou IEEE transactions on pattern analysis and machine intelligence 37 (10), 2041 …, 2015 | 449 | 2015 |
| Global filter networks for image classification Y Rao, W Zhao, Z Zhu, J Lu, J Zhou Advances in neural information processing systems 34, 980-993, 2021 | 443 | 2021 |
| Learning compact binary descriptors with unsupervised deep neural networks K Lin, J Lu, CS Chen, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 423 | 2016 |
| Structure-preserving super resolution with gradient guidance C Ma, Y Rao, Y Cheng, C Chen, J Lu, J Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 390 | 2020 |
| Moving vehicle detection for automatic traffic monitoring J Zhou, D Gao, D Zhang IEEE transactions on vehicular technology 56 (1), 51-59, 2007 | 328 | 2007 |
| Toolllm: Facilitating large language models to master 16000+ real-world apis Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ... arXiv preprint arXiv:2307.16789, 2023 | 324 | 2023 |
| Smooth representation clustering H Hu, Z Lin, J Feng, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 322 | 2014 |
| Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs Q Gu, J Zhou, C Ding SIAM SDM, 199-210, 2010 | 314 | 2010 |
| Co-clustering on manifolds Q Gu, J Zhou Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 303 | 2009 |
| Coin: A large-scale dataset for comprehensive instructional video analysis Y Tang, D Ding, Y Rao, Y Zheng, D Zhang, L Zhao, J Lu, J Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 301 | 2019 |
| Hornet: Efficient high-order spatial interactions with recursive gated convolutions Y Rao, W Zhao, Y Tang, J Zhou, SN Lim, J Lu Advances in Neural Information Processing Systems 35, 10353-10366, 2022 | 277 | 2022 |
Jiwen Lu (鲁继文)Department of Automation, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
