| 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 | 327 | 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 | 266 | 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 | 179 | 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 | 179 | 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 | 81 | 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 | 79 | 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 | 50 | 2022 |
| 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 | 31 | 2020 |
| 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 | 24 | 2021 |
| 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 | 18 | 2023 |
| 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 | 18 | 2023 |
| 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 | 15 | 2021 |
| Test-Time Model Adaptation with Only Forward Passes S Niu, C Miao, G Chen, P Wu, P Zhao International Conference on Machine Learning (ICML) Oral, 2024 | 12 | 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 | 8 | 2023 |
| 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 | 6 | 2023 |
| 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 | 5* | 2024 |
| Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling M Li, P Zhao, Y Zhang, S Niu, Q Wu, M Tan Proceedings of the 29th ACM International Conference on Multimedia (ACM MM …, 2021 | 4 | 2021 |
| Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting M Tan, G Chen, J Wu, Y Zhang, Y Chen, P Zhao, S Niu arXiv preprint arXiv:2403.11491, 2024 | 3 | 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 | 3* | 2024 |
| Boost Test-Time Performance with Closed-Loop Inference S Niu, J Wu, Y Zhang, G Xu, H Li, P Zhao, J Huang, Y Wang, M Tan arXiv preprint arXiv:2203.10853, 2022 | 2 | 2022 |
Yifan ZhangSkywork AI, National University of Singapore, Google PhD FellowVerificeret mail på u.nus.edu