| Deep Long-Tailed Learning: A Survey Y Zhang, B Kang, B Hooi, S Yan, J Feng TPAMI 2023, 2023 | 603 | 2023 |
| No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data M Luo, F Chen, D Hu, Y Zhang, J Liang, J Feng NeurIPS 2021, 2021 | 343 | 2021 |
| Efficient Test-Time Model Adaptation without Forgetting S Niu*, J Wu*, Y Zhang*, Y Chen, S Zheng, P Zhao, M Tan ICML 2022, 2022 | 294 | 2022 |
| Towards Stable Test-Time Adaptation in Dynamic Wild World S Niu*, J Wu*, Y Zhang*, Z Wen, Y Chen, P Zhao, M Tan ICLR 2023 (Oral), 2023 | 241 | 2023 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Y Zhang, B Hooi, L Hong, J Feng NeurIPS 2022, 2022 | 200* | 2022 |
| Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis Y Zhang, Y Wei, Q Wu, P Zhao, S Niu, J Huang, M Tan TIP 2020, 2020 | 173 | 2020 |
| Source-Free Domain Adaptation via Avatar Prototype Generation and Adaptation Z Qiu*, Y Zhang*, H Lin, S Niu, Y Liu, Q Du, M Tan IJCAI 2021, 2021 | 168 | 2021 |
| Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning Y Zhang, P Zhao, Q Wu, B Li, J Huang, M Tan TKDE 2020, 2020 | 113 | 2020 |
| Multi-Marginal Wasserstein GAN J Cao, L Mo, Y Zhang, K Jia, C Shen, M Tan NeurIPS 2019, 2019 | 103 | 2019 |
| COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19 Y Zhang, S Niu, Z Qiu, Y Wei, P Zhao, J Yao, J Huang, Q Wu, M Tan Technical Report, 2020 | 77 | 2020 |
| Adaptive Cost-Sensitive Online Classification P Zhao*, Y Zhang*, M Wu, SCH Hoi, M Tan, J Huang TKDE 2018, 2018 | 77 | 2018 |
| Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Y Zhang, B Hooi, D Hu, J Liang, J Feng NeurIPS 2021, 2021 | 71 | 2021 |
| From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification Y Zhang, H Chen, Y Wei, P Zhao, J Cao, X Fan, X Lou, H Liu, J Hou, ... MICCAI 2019, 2019 | 70 | 2019 |
| Relation-Aware Transformer for Portfolio Policy Learning K Xu*, Y Zhang*, D Ye, P Zhao, M Tan IJCAI 2020, 2020 | 60 | 2020 |
| Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data Y Zhang, P Zhao, J Cao, W Ma, J Huang, Q Wu, M Tan SIGKDD 2018, 2018 | 51 | 2018 |
| How Well Self-Supervised Pre-Training Performs with Streaming Data? D Hu, Q Lu, L Hong, H Hu, Y Zhang, Z Li, A Shen, J Feng ICLR 2022, 2022 | 47* | 2022 |
| Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation H Lin*, Y Zhang*, Z Qiu, S Niu, C Gan, Y Liu, M Tan ECCV 2022, 2022 | 46 | 2022 |
| Dataset Quantization D Zhou, K Wang, J Gu, X Peng, D Lian, Y Zhang, Y You, J Feng ICCV 2023, 2023 | 45 | 2023 |
| Expanding Small-Scale Datasets with Guided Imagination Y Zhang, D Zhou, B Hooi, K Wang, J Feng NeurIPS 2023, 2023 | 39 | 2023 |
| Disentangling Writer and Character Styles for Handwriting Generation G Dai*, Y Zhang*, Q Wang, Q Du, Z Yu, Z Liu, S Huang CVPR 2023, 2023 | 31 | 2023 |
Peilin Zhao (赵沛霖)Tencent在 tencent.com 的电子邮件经过验证
