COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. - Yifan Zhang 004; Shuaicheng Niu; Zhen Qiu; Ying Wei 001; Peilin Zhao; Jianhua Yao 001; Junzhou Huang; Qingyao Wu; Mingkui Tan (CoRR, 2020)

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. - Yifan Zhang 004; Ying Wei 001; Qingyao Wu; Peilin Zhao; Shuaicheng Niu; Junzhou Huang; Mingkui Tan (IEEE Trans. Image Process., 2020)

Towards Accurate Text-Based Image Captioning With Content Diversity Exploration. - Guanghui Xu 002; Shuaicheng Niu; Mingkui Tan; Yucheng Luo; Qing Du; Qi Wu 001 (CVPR, 2021)

AdaXpert: Adapting Neural Architecture for Growing Data. - Shuaicheng Niu; Jiaxiang Wu 001; Guanghui Xu 002; Yifan Zhang 004; Yong Guo; Peilin Zhao; Peng Wang; Mingkui Tan (ICML, 2021)

Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. - Zhen Qiu; Yifan Zhang 004; Hongbin Lin; Shuaicheng Niu; Yanxia Liu; Qing Du; Mingkui Tan (IJCAI, 2021)

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. - Minli Li; Peilin Zhao; Yifan Zhang 004; Shuaicheng Niu; Qingyao Wu; Mingkui Tan (ACM Multimedia, 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; et al. (NeurIPS (Competition and Demos), 2021)

Disturbance-immune weight sharing for neural architecture search. - Shuaicheng Niu; Jiaxiang Wu 001; Yifan Zhang 004; Yong Guo; Peilin Zhao; Junzhou Huang; Mingkui Tan (Neural Networks, 2021)

Online Adaptive Asymmetric Active Learning With Limited Budgets. - Yifan Zhang 004; Peilin Zhao; Shuaicheng Niu; Qingyao Wu; Jiezhang Cao; Junzhou Huang; Mingkui Tan (IEEE Trans. Knowl. Data Eng., 2021)

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. - Hongbin Lin; Yifan Zhang 004; Zhen Qiu; Shuaicheng Niu; Chuang Gan 001; Yanxia Liu; Mingkui Tan (ECCV (33), 2022)

Efficient Test-Time Model Adaptation without Forgetting. - Shuaicheng Niu; Jiaxiang Wu 001; Yifan Zhang 004; Yaofo Chen; Shijian Zheng; Peilin Zhao; Mingkui Tan (ICML, 2022)

Boost Test-Time Performance with Closed-Loop Inference. - Shuaicheng Niu; Jiaxiang Wu 001; Yifan Zhang 004; Guanghui Xu 002; Haokun Li; Peilin Zhao; Junzhou Huang; Yaowei Wang 001; Mingkui Tan (CoRR, 2022)

Towards Stable Test-time Adaptation in Dynamic Wild World. - Shuaicheng Niu; Jiaxiang Wu 001; Yifan Zhang 004; Zhiquan Wen; Yaofo Chen; Peilin Zhao; Mingkui Tan (ICLR, 2023)

Exploring Motion Cues for Video Test-Time Adaptation. - Runhao Zeng; Qi Deng; Huixuan Xu; Shuaicheng Niu; Jian Chen 011 (ACM Multimedia, 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 (NeurIPS, 2023)

Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment. - Hongbin Lin; Mingkui Tan; Yifan Zhang 004; Zhen Qiu; Shuaicheng Niu; Dong Liu 002; Qing Du; Yanxia Liu (CoRR, 2023)

MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection. - Hongbin Lin; Yifan Zhang 004; Shuaicheng Niu; Shuguang Cui; Zhen Li 026 (ECCV (44), 2024)

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation. - Yaofo Chen; Shuaicheng Niu; Yaowei Wang 001; Shoukai Xu; Hengjie Song; Mingkui Tan (ICLR, 2024)

Test-Time Model Adaptation with Only Forward Passes. - Shuaicheng Niu; Chunyan Miao; Guohao Chen; Pengcheng Wu; Peilin Zhao (ICML, 2024)

Cross-Device Collaborative Test-Time Adaptation. - Guohao Chen; Shuaicheng Niu; Deyu Chen; Shuhai Zhang; Changsheng Li; Yuanqing Li 001; Mingkui Tan (NeurIPS, 2024)

Fully Test-Time Adaptation for Monocular 3D Object Detection. - Hongbin Lin; Yifan Zhang 004; Shuaicheng Niu; Shuguang Cui; Zhen Li 026 (CoRR, 2024)

Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions. - Zhiquan Wen; Shuaicheng Niu; Ge Li 002; Qingyao Wu; Mingkui Tan; Qi Wu 001 (IEEE Trans. Multim., 2024)

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 011; Xiping Hu (AAAI, 2025)

DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation. - Hongbin Lin; Zilu Guo; Yifan Zhang 004; Shuaicheng Niu; Yafeng Li; Ruimao Zhang; Shuguang Cui; Zhen Li 026 (CVPR, 2025)

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning. - Jingyuan Zhang; Yiyang Duan; Shuaicheng Niu; Yang Cao 011; Wei Yang Bryan Lim (ICLR, 2025)

Self-Bootstrapping for Versatile Test-Time Adaptation. - Shuaicheng Niu; Guohao Chen; Peilin Zhao; Tianyi Wang 006; Pengcheng Wu; Zhiqi Shen 001 (CoRR, 2025)

Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation. - Runhao Zeng; Qi Deng; Ronghao Zhang; Shuaicheng Niu; Jian Chen 011; Xiping Hu; Victor C. M. Leung (CoRR, 2025)

When Small Guides Large: Cross-Model Co-Learning for Test-Time Adaptation. - Chang'an Yi; Xiaohui Deng; Guohao Chen; Yan Zhou; Qinghua Lu 002; Shuaicheng Niu (CoRR, 2025)

Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations. - Yiwen Liang; Hui Chen 013; Yizhe Xiong; Zihan Zhou; Mengyao Lyu; Zijia Lin; Shuaicheng Niu; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2025)

Test-Time Model Adaptation for Quantized Neural Networks. - Zeshuai Deng; Guohao Chen; Shuaicheng Niu; Hui Luo 002; Shuhai Zhang; Yifan Yang; Renjie Chen; Wei Luo; Mingkui Tan (CoRR, 2025)

Uncertainty-Calibrated Test-Time Model Adaptation Without Forgetting. - Mingkui Tan; Guohao Chen; Jiaxiang Wu 001; Yifan Zhang 004; Yaofo Chen; Peilin Zhao; Shuaicheng Niu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)