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ORCIDShuaicheng Niu
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2020 – today
- 2024
[j4]Zhiquan Wen
, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu:
Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions. IEEE Trans. Multim. 26: 2137-2147 (2024)- [c13]Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li:
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection. ECCV (44) 2024: 96-114 - [c12]Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan:
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. ICLR 2024 - [c11]Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao:
Test-Time Model Adaptation with Only Forward Passes. ICML 2024 - [i19]Yaofo Chen, Shuaicheng Niu, Shoukai Xu, Hengjie Song, Yaowei Wang, Mingkui Tan:
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. CoRR abs/2402.17316 (2024) - [i18]Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu:
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR abs/2403.11491 (2024) - [i17]Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao:
Test-Time Model Adaptation with Only Forward Passes. CoRR abs/2404.01650 (2024) - [i16]Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li:
Fully Test-Time Adaptation for Monocular 3D Object Detection. CoRR abs/2405.19682 (2024) - [i15]Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim:
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. CoRR abs/2410.07738 (2024) - 2023
- [c10]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan:
Towards Stable Test-time Adaptation in Dynamic Wild World. ICLR 2023 - [c9]Runhao Zeng, Qi Deng, Huixuan Xu, Shuaicheng Niu, Jian Chen:
Exploring Motion Cues for Video Test-Time Adaptation. ACM Multimedia 2023: 1840-1850 - [c8]Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan:
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. NeurIPS 2023 - [i14]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan:
Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR abs/2302.12400 (2023) - [i13]Hongbin Lin, Mingkui Tan, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Dong Liu, Qing Du, Yanxia Liu:
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment. CoRR abs/2305.12649 (2023) - [i12]Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan:
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. CoRR abs/2310.19011 (2023) - 2022
- [c7]Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. ECCV (33) 2022: 351-368 - [c6]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. ICML 2022: 16888-16905 - [i11]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan:
Boost Test-Time Performance with Closed-Loop Inference. CoRR abs/2203.10853 (2022) - [i10]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. CoRR abs/2204.02610 (2022) - [i9]Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. CoRR abs/2207.10856 (2022) - 2021
- [j3]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune weight sharing for neural architecture search. Neural Networks 144: 553-564 (2021) - [j2]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [c5]Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu:
Towards Accurate Text-Based Image Captioning With Content Diversity Exploration. CVPR 2021: 12637-12646 - [c4]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. ICML 2021: 8184-8194 - [c3]Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. IJCAI 2021: 2921-2927 - [c2]Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan:
Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia 2021: 5038-5046 - [c1]Nicholas Roberts, Samuel Guo, Cong Xu, Ameet Talwalkar, David Lander, Lvfang Tao, Linhang Cai, Shuaicheng Niu, Jianyu Heng, Hongyang Qin, Minwen Deng, Johannes Hog, Alexander Pfefferle, Sushil Ammanaghatta Shivakumar, Arjun Krishnakumar, Yubo Wang, Rhea Sukthanker, Frank Hutter, Euxhen Hasanaj, Tien-Dung Le, Mikhail Khodak, Yuriy Nevmyvaka, Kashif Rasul, Frederic Sala, Anderson Schneider, Junhong Shen, Evan Randall Sparks:
AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. NeurIPS (Competition and Demos) 2021: 151-170 - [i8]Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu:
Towards Accurate Text-based Image Captioning with Content Diversity Exploration. CoRR abs/2105.03236 (2021) - [i7]Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. CoRR abs/2106.15326 (2021) - [i6]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. CoRR abs/2107.00254 (2021) - 2020
- [j1]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [i5]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR abs/2003.13089 (2020) - [i4]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i3]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020)
2010 – 2019
- 2019
- [i2]Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/1911.07293 (2019) - [i1]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR abs/1911.07498 (2019)
Coauthor Index
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