Source-Style Transferred Mean Teacher for Source-data Free Object Detection. - Dan Zhang; Mao Ye 001; Lin Xiong; Shuaifeng Li; Xue Li 001 (MMAsia, 2021)

Source-Free Object Detection by Learning to Overlook Domain Style. - Shuaifeng Li; Mao Ye 001; Xiatian Zhu; Lihua Zhou; Lin Xiong (CVPR, 2022)

Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation. - Lihua Zhou; Mao Ye 001; Xiatian Zhu; Shuaifeng Li; Yiguang Liu (ACM Multimedia, 2022)

A Dynamic Neural Network Optimization Model for Heavy Metal Content Prediction in Farmland Soil. - Kun Cao; Cong Zhang 007; Liangliang Li; Shuaifeng Li (IEEE Access, 2022)

A Self-Attention Feature Fusion Model for Rice Pest Detection. - Shuaifeng Li; Heng Wang 010; Cong Zhang 007; Jie Liu (IEEE Access, 2022)

Adaptive Mutual Learning for Unsupervised Domain Adaptation. - Lihua Zhou; Siying Xiao; Mao Ye 001; Xiatian Zhu; Shuaifeng Li (IEEE Trans. Circuits Syst. Video Technol., 2023)

Adversarial Experts Model for Black-box Domain Adaptation. - Siying Xiao; Mao Ye 001; Qichen He; Shuaifeng Li; Song Tang 001; Xiatian Zhu (ACM Multimedia, 2024)

Cloud Object Detector Adaptation by Integrating Different Source Knowledge. - Shuaifeng Li; Mao Ye 001; Lihua Zhou; Nianxin Li; Siying Xiao; Song Tang 001; Xiatian Zhu (NeurIPS, 2024)

Training all-mechanical neural networks for task learning through in situ backpropagation. - Shuaifeng Li; Xiaoming Mao (CoRR, 2024)

Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive Object Detection. - Jiuzheng Yang; Song Tang 001; Yangkuiyi Zhang; Shuaifeng Li; Mao Ye 001; Jianwei Zhang 001; Xiatian Zhu (CoRR, 2024)

Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection. - Ting Li; Mao Ye 001; Tianwen Wu; Nianxin Li; Shuaifeng Li; Song Tang 001; Luping Ji (CVPR, 2025)

Bayesian Test-Time Adaptation for Vision-Language Models. - Lihua Zhou; Mao Ye 001; Shuaifeng Li; Nianxin Li; Xiatian Zhu; Lei Deng; Hongbin Liu 001; Zhen Lei 001 (CVPR, 2025)

Mutual supervision multi-source-free domain adaptation of image classification. - Liang Tian; Lihua Zhou; Shuaifeng Li; Yan Gan; Mao Ye 001 (Appl. Soft Comput., 2025)

ODE-based generative modeling: Learning from a single natural image. - Jian Yue; Yan Gan; Lihua Zhou; Yu Zhao; Shuaifeng Li; Mao Ye 001 (Expert Syst. Appl., 2025)

Efficient adaptive defense scheme for differential privacy in federated learning. - Fangfang Shan; Yanlong Lu; Shuaifeng Li; Shiqi Mao; Yuang Li; Xin Wang (J. Inf. Secur. Appl., 2025)

Text-Driven Causal Representation Learning for Source-Free Domain Generalization. - Lihua Zhou; Mao Ye 001; Nianxin Li; Shuaifeng Li; Jinlin Wu; Xiatian Zhu; Lei Deng; Hongbin Liu 001; Jiebo Luo 001; Zhen Lei 001 (CoRR, 2025)

SAFL-KCS: federated learning methods based on client selection and semi-asynchronous communication. - Fangfang Shan; Shuaifeng Li; Yanlong Lu; Shiqi Mao; Xinbo Wang (Clust. Comput., 2025)

Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models. - Lihua Zhou; Mao Ye 001; Shuaifeng Li; Nianxin Li; Jinlin Wu; Xiatian Zhu; Lei Deng; Hongbin Liu 001; Jiebo Luo 001; Zhen Lei 001 (CoRR, 2025)