Shuaicheng Niu

According to our database, Shuaicheng Niu authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions.

Zhiquan Wen, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu

IEEE Trans. Multim., 2024

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning.

Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim

CoRR, 2024

Fully Test-Time Adaptation for Monocular 3D Object Detection.

Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li

CoRR, 2024

Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting.

Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu

CoRR, 2024

Test-Time Model Adaptation with Only Forward Passes.

Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation.

Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection.

Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment.

Hongbin Lin, Mingkui Tan, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Dong Liu, Qing Du, Yanxia Liu

CoRR, 2023

Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction.

Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Motion Cues for Video Test-Time Adaptation.

Runhao Zeng, Qi Deng, Huixuan Xu, Shuaicheng Niu, Jian Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards Stable Test-time Adaptation in Dynamic Wild World.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Boost Test-Time Performance with Closed-Loop Inference.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan

CoRR, 2022

Efficient Test-Time Model Adaptation without Forgetting.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan

Proceedings of the International Conference on Machine Learning, 2022

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation.

Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Online Adaptive Asymmetric Active Learning With Limited Budgets.

Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan

IEEE Trans. Knowl. Data Eng., 2021

Disturbance-immune weight sharing for neural architecture search.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan

Neural Networks, 2021

AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling.

Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation.

Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AdaXpert: Adapting Neural Architecture for Growing Data.

Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan

Proceedings of the 38th International Conference on Machine Learning, 2021

Towards Accurate Text-Based Image Captioning With Content Diversity Exploration.

Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.

Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan

IEEE Trans. Image Process., 2020

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19.

Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan

CoRR, 2020