| Prototypical contrastive learning of unsupervised representations J Li, P Zhou, C Xiong, SCH Hoi International Conference on Learning Representations (ICLR 2021), 2020 | 1208 | 2020 |
| Metaformer is actually what you need for vision W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan IEEE conference on computer vision and pattern recognition (CVPR 2022, Oral …, 2022 | 1190 | 2022 |
| Inception transformer C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 1081* | 2022 |
| Tensor factorization for low-rank tensor completion P Zhou, C Lu, Z Lin, C Zhang IEEE Transactions on Image Processing (TIP) 27 (3), 1152-1163, 2017 | 338 | 2017 |
| Towards theoretically understanding why sgd generalizes better than adam in deep learning P Zhou, J Feng, C Ma, C Xiong, SCH Hoi Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 335 | 2020 |
| Deep adversarial subspace clustering P Zhou, Y Hou, J Feng IEEE conference on computer vision and pattern recognition (CVPR 2018), 2018 | 237 | 2018 |
| Metaformer baselines for vision W Yu, C Si, P Zhou, M Luo, Y Zhou, J Feng, S Yan, X Wang IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2023, 2022 | 192 | 2022 |
| Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models X Xie, P Zhou, H Li, Z Lin, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 2024 | 179 | 2024 |
| Inceptionnext: When inception meets convnext W Yu, P Zhou, S Yan, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2023 | 179 | 2023 |
| Tensor low-rank representation for data recovery and clustering P Zhou, C Lu, J Feng, Z Lin, S Yan IEEE transactions on pattern analysis and machine intelligence (TPAMI) 43 (5 …, 2019 | 141 | 2019 |
| Masked diffusion transformer is a strong image synthesizer S Gao, P Zhou, MM Cheng, S Yan International Conference on Computer Vision (ICCV 2023), 2023 | 119 | 2023 |
| Outlier-Robust Tensor PCA P Zhou, J Feng IEEE conference on computer vision and pattern recognition (CVPR 2017), 2017 | 119 | 2017 |
| Efficient Meta Learning via Minibatch Proximal Update P Zhou, X Yuan, H Xu, S Yan, J Feng Advances in Neural Information Processing Systems (NeurIPS 2019, Spotlight), 2019 | 113 | 2019 |
| Video graph transformer for video question answering J Xiao, P Zhou, TS Chua, S Yan European Conference on Computer Vision (ECCV 2022), 39-58, 2022 | 109 | 2022 |
| Prototypical graph contrastive learning S Lin, C Liu, P Zhou, ZY Hu, S Wang, R Zhao, Y Zheng, L Lin, E Xing, ... IEEE transactions on neural networks and learning systems (TNNLS), 2022 | 108 | 2022 |
| How important is the train-validation split in meta-learning? Y Bai, M Chen, P Zhou, T Zhao, J Lee, S Kakade, H Wang, C Xiong International Conference on Machine Learning (ICML 2021), 543-553, 2021 | 92 | 2021 |
| Integrated low-rank-based discriminative feature learning for recognition P Zhou, Z Lin, C Zhang IEEE transactions on neural networks and learning systems (TNNLS) 27 (5 …, 2015 | 81 | 2015 |
| LPT: Long-tailed Prompt Tuning for Image Classification B Dong, P Zhou, S Yan, W Zuo International Conference on Learning Representations (ICLR 2023), 2022 | 74 | 2022 |
| Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds P Zhou, XT Yuan, J Feng International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018 | 73 | 2018 |
| Theory-inspired path-regularized differential network architecture search P Zhou, C Xiong, R Socher, SCH Hoi Advances in Neural Information Processing Systems (NeurIPS 2020, Oral), 2020 | 68 | 2020 |
Shuicheng Yan, Fellow of AAAI, ACM,...National University of Singapore, Ex: Skywork AI, Sea AI Lab | Looking for RF/Students/Visitors在 nus.edu.sg 的电子邮件经过验证
