| Tokens-to-token vit: Training vision transformers from scratch on imagenet L Yuan, Y Chen, T Wang, W Yu, Y Shi, Z Jiang, FEH Tay, J Feng, S Yan ICCV 2021, 2021 | 2163 | 2021 |
| All tokens matter: Token labeling for training better vision transformers ZH Jiang, Q Hou, L Yuan, D Zhou, Y Shi, X Jin, A Wang, J Feng Advances in Neural Information Processing Systems 34, 18590-18602, 2021 | 255* | 2021 |
| Leveraging instance-, image-and dataset-level information for weakly supervised instance segmentation Y Liu, YH Wu, P Wen, Y Shi, Y Qiu, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1415-1428, 2020 | 151 | 2020 |
| DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing Y Shi, C Xue, JH Liew, J Pan, H Yan, W Zhang, VYF Tan, S Bai CVPR 2024 (Highlight), 2023 | 102 | 2023 |
| Rethinking the usage of batch normalization and dropout in the training of deep neural networks G Chen, P Chen, Y Shi, CY Hsieh, B Liao, S Zhang arXiv preprint arXiv:1905.05928, 2019 | 99 | 2019 |
| Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models Y Gu, X Wang, JZ Wu, Y Shi, Y Chen, Z Fan, W Xiao, R Zhao, S Chang, ... Advances in Neural Information Processing Systems 36, 2024 | 91 | 2024 |
| Refiner: Refining Self-attention for Vision Transformers D Zhou, Y Shi, B Kang, W Yu, Z Jiang, Y Li, X Jin, Q Hou, J Feng arXiv preprint arXiv:2106.03714, 2021 | 71 | 2021 |
| Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning Y Shi, K Zhou, J Liang, Z Jiang, J Feng, P Torr, S Bai, VYF Tan CVPR 2022, 2022 | 68 | 2022 |
| Towards understanding and mitigating dimensional collapse in heterogeneous federated learning Y Shi, J Liang, W Zhang, VYF Tan, S Bai ICLR 2023, 2023 | 57 | 2023 |
| Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning Z Song, Y Zhao, Y Shi, P Peng, L Yuan, Y Tian CVPR 2023, 2023 | 53 | 2023 |
| Continual Learning via Bit-Level Information Preserving Y Shi, L Yuan, Y Chen, J Feng CVPR 2021, 2021 | 45 | 2021 |
| MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators S Yuan, J Huang, Y Shi, Y Xu, R Zhu, B Lin, X Cheng, L Yuan, J Luo arXiv preprint arXiv:2404.05014, 2024 | 9 | 2024 |
| Understanding and mitigating dimensional collapse in federated learning Y Shi, J Liang, W Zhang, C Xue, VYF Tan, S Bai IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 5 | 2023 |
| ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation S Yuan, J Huang, Y Xu, Y Liu, S Zhang, Y Shi, R Zhu, X Cheng, J Luo, ... arXiv preprint arXiv:2406.18522, 2024 | 4 | 2024 |
| Understanding adversarial behavior of dnns by disentangling non-robust and robust components in performance metric Y Shi, B Liao, G Chen, Y Liu, MM Cheng, J Feng arXiv preprint arXiv:1906.02494, 2019 | 3 | 2019 |
| Envision3D: One Image to 3D with Anchor Views Interpolation Y Pang, T Jia, Y Shi, Z Tang, J Zhang, X Cheng, X Zhou, FEH Tay, L Yuan arXiv preprint arXiv:2403.08902, 2024 | 1 | 2024 |
| InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos Y Shi, JH Liew, H Yan, VYF Tan, J Feng arXiv preprint arXiv:2405.13722, 2024 | | 2024 |
| Learning Pixel-wise Labeling from the Internet without Human Interaction Y Liu, Y Shi, JW Bian, L Zhang, MM Cheng, J Feng arXiv preprint arXiv:1805.07548, 2018 | | 2018 |
Li Yuan, 袁粒Peking University, School of ECE, Shenzhen Graduate SchoolVerified email at pku.edu.cn
