| Efficient Test-Time Model Adaptation without Forgetting S Niu, J Wu, Y Zhang, Y Chen, S Zheng, P Zhao, M Tan International Conference on Machine Learning (ICML), 2022 | 583 | 2022 |
| Towards Stable Test-Time Adaptation in Dynamic Wild World S Niu, J Wu, Y Zhang, Z Wen, Y Chen, P Zhao, M Tan International Conference on Learning Representations (ICLR) Oral, 2023 | 477 | 2023 |
| Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation Z Qiu, Y Zhang, H Lin, S Niu, Y Liu, Q Du, M Tan International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 232 | 2021 |
| Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis Y Zhang, Y Wei, P Zhao, S Niu, Q Wu, M Tan, J Huang IEEE Transactions on Image Processing (TIP), 2020 | 218 | 2020 |
| Towards Accurate Text-based Image Captioning with Content Diversity Exploration G Xu*, S Niu*, M Tan, Y Luo, Q Du, Q Wu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12637 …, 2021 | 98 | 2021 |
| COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19 S Niu, Y Zhang, Z Qiu, Y Wei, P Zhao, J Yao, J Huang, Q Wu, M Tan arXiv preprint arXiv:2005.01577, 2020 | 82 | 2020 |
| Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation H Lin, Y Zhang, Z Qiu, S Niu, C Gan, Y Liu, M Tan European Conference on Computer Vision (ECCV), 2022 | 72 | 2022 |
| Test-Time Model Adaptation with Only Forward Passes S Niu, C Miao, G Chen, P Wu, P Zhao ICML 2024 (Oral), 2024 | 64 | 2024 |
| Online Adaptive Asymmetric Active Learning with Limited Budgets Y Zhang*, P Zhao*, S Niu*, Q Wu, J Cao, J Huang, M Tan IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 | 36 | 2020 |
| Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction Z Deng*, Z Chen*, S Niu*, TH Li, B Zhuang, M Tan Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 | 33 | 2023 |
| Disturbance-Immune Weight Sharing for Neural Architecture Search S Niu, J Wu, Y Zhang, Y Guo, P Zhao, J Huang, M Tan Neural Networks 144, 553-564, 2021 | 31 | 2021 |
| Test-Time Model Adaptation for Visual Question Answering with Debiased Self-Supervisions Z Wen*, S Niu*, G Li, Q Wu, M Tan, Q Wu IEEE Transactions on Multimedia (TMM), 2023 | 29 | 2023 |
| Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XX S Avidan, G Brostow, M Cissé, GM Farinella, T Hassner Springer Nature, 2022 | 21 | 2022 |
| MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection H Lin*, Y Zhang*, S Niu*, S Cui, Z Li European Conference on Computer Vision (ECCV), 96-114, 2024 | 19* | 2024 |
| Towards Robust and Efficient Cloud-Edge Model Adaptation via Selective Entropy Distillation Y Chen*, S Niu*, S Xu, H Song, M Tan, Y Wang International Conference on Learning Representations (ICLR), 2024 | 19* | 2024 |
| Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting M Tan, G Chen, J Wu, Y Zhang, Y Chen, P Zhao, S Niu IEEE TPAMI, 2024 | 18 | 2024 |
| Automl decathlon: Diverse tasks, modern methods, and efficiency at scale N Roberts, S Guo, C Xu, A Talwalkar, D Lander, L Tao, L Cai, S Niu, ... NeurIPS 2022 Competition Track, 151-170, 2023 | 17 | 2023 |
| Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time Adaptation Y Zhang, A Mehra, S Niu, J Hamm ICML 2025, 2025 | 16* | 2025 |
| AdaXpert: Adapting Neural Architecture for Growing Data S Niu, J Wu, G Xu, Y Zhang, Y Guo, P Zhao, P Wang, M Tan International Conference on Machine Learning (ICML), 2021 | 16 | 2021 |
| Exploring Motion Cues for Video Test-Time Adaptation R Zeng, Q Deng, H Xu, S Niu, J Chen Proceedings of the 31st ACM International Conference on Multimedia (ACM MM …, 2023 | 15 | 2023 |
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
