| Deep Long-Tailed Learning: A Survey Y Zhang, B Kang, B Hooi, S Yan, J Feng TPAMI 2023, 2023 | 979 | 2023 |
| Efficient Test-Time Model Adaptation without Forgetting S Niu*, J Wu*, Y Zhang*, Y Chen, S Zheng, P Zhao, M Tan ICML 2022, 2022 | 583 | 2022 |
| 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 | 533 | 2021 |
| 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 | 475 | 2023 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Y Zhang, B Hooi, L Hong, J Feng NeurIPS 2022, 2022 | 290* | 2022 |
| 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 | 233 | 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 | 218 | 2020 |
| Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning Y Zhang, P Zhao, Q Wu, B Li, J Huang, M Tan TKDE 2020, 2020 | 164 | 2020 |
| Multi-Marginal Wasserstein GAN J Cao, L Mo, Y Zhang, K Jia, C Shen, M Tan NeurIPS 2019, 2019 | 118 | 2019 |
| SkyReels V1: Human-Centric Video Foundation Model Skywork Open-Source Project, 2024 | 113* | 2024 |
| Relation-Aware Transformer for Portfolio Policy Learning K Xu*, Y Zhang*, D Ye, P Zhao, M Tan IJCAI 2020, 2020 | 102 | 2020 |
| Dataset Quantization D Zhou, K Wang, J Gu, X Peng, D Lian, Y Zhang, Y You, J Feng ICCV 2023, 2023 | 95 | 2023 |
| 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 | 92 | 2021 |
| Adaptive Cost-Sensitive Online Classification P Zhao*, Y Zhang*, M Wu, SCH Hoi, M Tan, J Huang TKDE 2018, 2018 | 88 | 2018 |
| Expanding Small-Scale Datasets with Guided Imagination Y Zhang, D Zhou, B Hooi, K Wang, J Feng NeurIPS 2023, 2023 | 85* | 2023 |
| 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 | 82 | 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 | 78 | 2019 |
| 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 | 72 | 2022 |
| 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 | 68 | 2023 |
| 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 | 59 | 2018 |
Jiashi FengByteDance Inc.Verified email at bytedance.com
