Shuaicheng Niu

According to our database, Shuaicheng Niu authored at least 43 papers between 2020 and 2026.

Collaborative distances:

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

2026

Guided Trajectory Optimization with Sparse Scaling for Test-Time Diffusion.

Gang Dai, Yining Huang, Yiming Xia, Guohao Chen, Shuaicheng Niu

CoRR, May, 2026

EVA-0: Test-Time Model Evolution with Only Two Forward Passes per Sample.

Guohao Chen, Shuaicheng Niu, Geng Li, Yunbei Zhang, Shilin Shan, Chunyan Miao, Jianfei Yang

CoRR, May, 2026

Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models.

Yunbei Zhang, Shuaicheng Niu, Chengyi Cai, Feng Liu, Jihun Hamm

CoRR, April, 2026

ZOTTA: Test-Time Adaptation with Gradient-Free Zeroth-Order Optimization.

Ronghao Zhang, Shuaicheng Niu, Qi Deng, Yanjie Dong, Jian Chen, Runhao Zeng

CoRR, March, 2026

Multi-Stage Cross-Modality Feature Interaction for RGB-Thermal Multi-Object Tracking.

Jianbo Ma, Hui Luo, Shuaicheng Niu, Peilin Zhao, Yunfeng Liu, Yuxing Wei, Jianlin Zhang

IEEE Trans. Circuits Syst. Video Technol., February, 2026

A text-only weakly supervised learning framework for text spotting via text-to-polygon generator.

Gege Zhang, Zhiyong Gan, Ling Deng, Shuaicheng Niu, Zhenghua Peng, Gang Dai, Shuangping Huang, Xiangmin Xu

Pattern Recognit., 2026

DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving.

Hongbin Lin, Yiming Yang, Chaoda Zheng, Yifan Zhang, Shuaicheng Niu, Zilu Guo, Yafeng Li, Gui Gui, Shuguang Cui, Zhen Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation.

Runhao Zeng, Qi Deng, Ronghao Zhang, Shuaicheng Niu, Jian Chen, Xiping Hu, Victor C. M. Leung

IEEE Trans. Circuits Syst. Video Technol., December, 2025

POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation.

Chang'an Yi, Xiaohui Deng, Shuaicheng Niu, Yan Zhou

CoRR, October, 2025

ZeroSiam: An Efficient Siamese for Test-Time Entropy Optimization without Collapse.

Guohao Chen, Shuaicheng Niu, Deyu Chen, Jiahao Yang, Zitian Zhang, Mingkui Tan, Pengcheng Wu, Zhiqi Shen

CoRR, September, 2025

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization.

Shuaicheng Niu, Guohao Chen, Deyu Chen, Yifan Zhang, Jiaxiang Wu, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Chunyan Miao, Mingkui Tan

CoRR, September, 2025

Uncertainty-Calibrated Test-Time Model Adaptation Without Forgetting.

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

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

When Small Guides Large: Cross-Model Co-Learning for Test-Time Adaptation.

Chang'an Yi, Xiaohui Deng, Guohao Chen, Yan Zhou, Qinghua Lu, Shuaicheng Niu

CoRR, June, 2025

Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations.

Yiwen Liang, Hui Chen, Yizhe Xiong, Zihan Zhou, Mengyao Lyu, Zijia Lin, Shuaicheng Niu, Sicheng Zhao, Jungong Han, Guiguang Ding

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Test-Time Model Adaptation for Quantized Neural Networks.

Zeshuai Deng, Guohao Chen, Shuaicheng Niu, Hui Luo, Shuhai Zhang, Yifan Yang, Renjie Chen, Wei Luo, Mingkui Tan

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation.

Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Self-Bootstrapping for Versatile Test-Time Adaptation.

Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping.

Tianyi Wang, Shuaicheng Niu, Harry Cheng, Xiao Zhang, Yinglong Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation.

Hongbin Lin, Zilu Guo, Yifan Zhang, Shuaicheng Niu, Yafeng Li, Ruimao Zhang, Shuguang Cui, Zhen Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers.

Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

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

CoRR, 2024

Cross-Device Collaborative Test-Time Adaptation.

Guohao Chen, Shuaicheng Niu, Deyu Chen, Shuhai Zhang, Changsheng Li, Yuanqing Li, Mingkui Tan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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 Sanjay 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