| Deep Long-Tailed Learning: A Survey Y Zhang, B Kang, B Hooi, S Yan, J Feng arXiv preprint arXiv:2110.04596, 2021 | 131 | 2021 |
| 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 | 98 | 2020 |
| 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 | 71 | 2021 |
| Multi-Marginal Wasserstein GAN J Cao, L Mo, Y Zhang, K Jia, C Shen, M Tan NeurIPS 2019, 2019 | 69 | 2019 |
| 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 | 61 | 2021 |
| 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 arXiv preprint arXiv:2005.01577, 2020 | 57 | 2020 |
| 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 | 54 | 2019 |
| Adaptive Cost-Sensitive Online Classification P Zhao*, Y Zhang*, M Wu, SCH Hoi, M Tan, J Huang TKDE 2018, 2018 | 49 | 2018 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Y Zhang, B Hooi, L Hong, J Feng NeurIPS 2022, 2022 | 48* | 2022 |
| Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning Y Zhang, P Zhao, Q Wu, B Li, J Huang, M Tan TKDE 2020, 2020 | 46 | 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 | 41 | 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 | 27 | 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 | 20 | 2022 |
| Relation-Aware Transformer for Portfolio Policy Learning K Xu*, Y Zhang*, D Ye, P Zhao, M Tan IJCAI 2020, 2020 | 19 | 2020 |
| Online Adaptive Asymmetric Active Learning with Limited Budgets Y Zhang, P Zhao, S Niu, Q Wu, J Cao, J Huang, M Tan TKDE 2019, 2019 | 18 | 2019 |
| Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching H Wu, H Zhu, Y Yan, J Wu, Y Zhang, MK Ng TIP 2021, 2021 | 14 | 2021 |
| Disturbance-Immune Weight Sharing for Neural Architecture Search S Niu*, J Wu*, Y Zhang*, Y Guo, P Zhao, J Huang, M Tan Neural Networks 2021, 2021 | 11 | 2021 |
| 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 | 10 | 2022 |
| AdaXpert: Adapting Neural Architecture for Growing Data S Niu, J Wu, G Xu, Y Zhang, Y Guo, P Zhao, P Wang, M Tan ICML 2021, 2021 | 7 | 2021 |
| 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 | 3 | 2022 |
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
