| Uncertainty Modeling for Out-of-Distribution Generalization X Li, Y Dai, Y Ge, J Liu, Y Shan, LY Duan International Conference on Learning Representations (ICLR), 2022 | 134 | 2022 |
| Generalizable person re-identification with relevance-aware mixture of experts Y Dai, X Li, J Liu, Z Tong, LY Duan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 113 | 2021 |
| Low-rank tensor completion via combined non-local self-similarity and low-rank regularization X Li, XL Zhao, TX Jiang, YB Zheng, TY Ji, TZ Huang Neurocomputing 367, 1-12, 2019 | 37 | 2019 |
| mc-BEiT: Multi-choice Discretization for Image BERT Pre-training X Li, Y Ge, K Yi, Z Hu, Y Shan, LY Duan European Conference on Computer Vision (ECCV), 2022 | 31 | 2022 |
| Masked image modeling with denoising contrast K Yi, Y Ge, X Li, S Yang, D Li, J Wu, Y Shan, X Qie International Conference on Learning Representations (ICLR), 2023 | 28 | 2023 |
| Exploring Model Transferability through the Lens of Potential Energy X Li, Z Hu, Y Ge, Y Shan, LY Duan International Conference on Computer Vision (ICCV), 2023 | 5 | 2023 |
| Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization H Yang*, X Li*, S Tang, F Zhu, Y Wang, M Chen, L Bai, R Zhao, ... International Conference on Learning Representations (ICLR), 2023 | 3 | 2023 |
| Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach S Guo, Z Chen, Y Zhao, N Zhang, X Li, L Duan Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023 | | 2023 |
| Modeling Uncertain Feature Representation for Domain Generalization X Li, Z Hu, J Liu, Y Ge, Y Dai, LY Duan arXiv preprint arXiv:2301.06442, 2023 | | 2023 |
Lingyu Duan 段凌宇Full Professor, The School of EE & CS, Peking University在 pku.edu.cn 的电子邮件经过验证
