Shuaicheng Niu

61 papers A* 19Journal 39Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A text-only weakly supervised learning framework for text spotting via text-to-polygon generator. Pattern Recognit. Gege Zhang, Zhiyong Gan, Ling Deng, Shuaicheng Niu, Zhenghua Peng, Gang Dai, Shuangping Huang, Xiangmin Xu
2026	A*	`conf`	DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving. AAAI Hongbin Lin, Yiming Yang, Chaoda Zheng, Yifan Zhang, Shuaicheng Niu, Zilu Guo, Yafeng Li, Gui Gui, Shuguang Cui, Zhen Li
2026	J	`jnl`	Multi-Stage Cross-Modality Feature Interaction for RGB-Thermal Multi-Object Tracking. IEEE Trans. Circuits Syst. Video Technol. Jianbo Ma, Hui Luo, Shuaicheng Niu, Peilin Zhao, Yunfeng Liu, Yuxing Wei, Jianlin Zhang
2026	J	`jnl`	ZOTTA: Test-Time Adaptation with Gradient-Free Zeroth-Order Optimization. CoRR Ronghao Zhang, Shuaicheng Niu, Qi Deng, Yanjie Dong, Jian Chen, Runhao Zeng
2025	J	`jnl`	Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization. CoRR Shuaicheng Niu, Guohao Chen, Deyu Chen, Yifan Zhang, Jiaxiang Wu, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Chunyan Miao, Mingkui Tan
2025	A*	`conf`	Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations. ACM Multimedia Yiwen Liang, Hui Chen, Yizhe Xiong, Zihan Zhou, Mengyao Lyu, Zijia Lin, Shuaicheng Niu, Sicheng Zhao, Jungong Han, Guiguang Ding
2025	J	`jnl`	Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations. CoRR Yiwen Liang, Hui Chen, Yizhe Xiong, Zihan Zhou, Mengyao Lyu, Zijia Lin, Shuaicheng Niu, Sicheng Zhao, Jungong Han, Guiguang Ding
2025	A*	`conf`	DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation. ICML Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm
2025	J	`jnl`	DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving. CoRR Hongbin Lin, Yiming Yang, Chaoda Zheng, Yifan Zhang, Shuaicheng Niu, Zilu Guo, Yafeng Li, Gui Gui, Shuguang Cui, Zhen Li
2025	A*	`conf`	DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation. CVPR Hongbin Lin, Zilu Guo, Yifan Zhang, Shuaicheng Niu, Yafeng Li, Ruimao Zhang, Shuguang Cui, Zhen Li
2025	J	`jnl`	DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation. CoRR Hongbin Lin, Zilu Guo, Yifan Zhang, Shuaicheng Niu, Yafeng Li, Ruimao Zhang, Shuguang Cui, Zhen Li
2025	A*	`conf`	Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. ICLR Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim
2025	J	`jnl`	Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation. CoRR Runhao Zeng, Qi Deng, Ronghao Zhang, Shuaicheng Niu, Jian Chen, Xiping Hu, Victor C. M. Leung
2025	J	`jnl`	Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation. IEEE Trans. Circuits Syst. Video Technol. Runhao Zeng, Qi Deng, Ronghao Zhang, Shuaicheng Niu, Jian Chen, Xiping Hu, Victor C. M. Leung
2025	A*	`conf`	Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers. AAAI Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu
2025	J	`jnl`	POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation. CoRR Chang'an Yi, Xiaohui Deng, Shuaicheng Niu, Yan Zhou
2025	A*	`conf`	Self-Bootstrapping for Versatile Test-Time Adaptation. ICML Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen
2025	J	`jnl`	Self-Bootstrapping for Versatile Test-Time Adaptation. CoRR Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen
2025	A*	`conf`	Test-Time Model Adaptation for Quantized Neural Networks. ACM Multimedia Zeshuai Deng, Guohao Chen, Shuaicheng Niu, Hui Luo, Shuhai Zhang, Yifan Yang, Renjie Chen, Wei Luo, Mingkui Tan
2025	J	`jnl`	Test-Time Model Adaptation for Quantized Neural Networks. CoRR Zeshuai Deng, Guohao Chen, Shuaicheng Niu, Hui Luo, Shuhai Zhang, Yifan Yang, Renjie Chen, Wei Luo, Mingkui Tan
2025	J	`jnl`	Uncertainty-Calibrated Test-Time Model Adaptation Without Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
2025	J	`jnl`	When Small Guides Large: Cross-Model Co-Learning for Test-Time Adaptation. CoRR Chang'an Yi, Xiaohui Deng, Guohao Chen, Yan Zhou, Qinghua Lu, Shuaicheng Niu
2025	J	`jnl`	ZeroSiam: An Efficient Siamese for Test-Time Entropy Optimization without Collapse. CoRR Guohao Chen, Shuaicheng Niu, Deyu Chen, Jiahao Yang, Zitian Zhang, Mingkui Tan, Pengcheng Wu, Zhiqi Shen
2024	A*	`conf`	Cross-Device Collaborative Test-Time Adaptation. NeurIPS Guohao Chen, Shuaicheng Niu, Deyu Chen, Shuhai Zhang, Changsheng Li, Yuanqing Li, Mingkui Tan
2024	J	`jnl`	Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. CoRR Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim
2024	J	`jnl`	Fully Test-Time Adaptation for Monocular 3D Object Detection. CoRR Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li
2024	J	`jnl`	Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers. CoRR Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu
2024	—	`conf`	MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection. ECCV (44) Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li
2024	J	`jnl`	Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions. IEEE Trans. Multim. Zhiquan Wen, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu
2024	A*	`conf`	Test-Time Model Adaptation with Only Forward Passes. ICML Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
2024	J	`jnl`	Test-Time Model Adaptation with Only Forward Passes. CoRR Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao
2024	A*	`conf`	Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. ICLR Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan
2024	J	`jnl`	Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. CoRR Yaofo Chen, Shuaicheng Niu, Shoukai Xu, Hengjie Song, Yaowei Wang, Mingkui Tan
2024	J	`jnl`	Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
2023	A*	`conf`	Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. NeurIPS Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan
2023	J	`jnl`	Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. CoRR Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan
2023	A*	`conf`	Exploring Motion Cues for Video Test-Time Adaptation. ACM Multimedia Runhao Zeng, Qi Deng, Huixuan Xu, Shuaicheng Niu, Jian Chen
2023	J	`jnl`	Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment. CoRR Hongbin Lin, Mingkui Tan, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Dong Liu, Qing Du, Yanxia Liu
2023	J	`jnl`	Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
2023	A*	`conf`	Towards Stable Test-time Adaptation in Dynamic Wild World. ICLR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
2022	J	`jnl`	Boost Test-Time Performance with Closed-Loop Inference. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan
2022	A*	`conf`	Efficient Test-Time Model Adaptation without Forgetting. ICML Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
2022	J	`jnl`	Efficient Test-Time Model Adaptation without Forgetting. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
2022	—	`conf`	Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. ECCV (33) Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan
2022	J	`jnl`	Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. CoRR Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan
2021	A*	`conf`	AdaXpert: Adapting Neural Architecture for Growing Data. ICML Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
2021	J	`jnl`	AdaXpert: Adapting Neural Architecture for Growing Data. CoRR Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
2021	—	`conf`	AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	Disturbance-immune weight sharing for neural architecture search. Neural Networks Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2021	J	`jnl`	Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2021	A*	`conf`	Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. IJCAI Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan
2021	J	`jnl`	Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. CoRR Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan
2021	A*	`conf`	Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan
2021	A*	`conf`	Towards Accurate Text-Based Image Captioning With Content Diversity Exploration. CVPR Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu
2021	J	`jnl`	Towards Accurate Text-based Image Captioning with Content Diversity Exploration. CoRR Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu
2020	J	`jnl`	COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan
2020	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2019	J	`jnl`	Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang
2019	J	`jnl`	Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan