BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning. - Yi Zhang 109; Ce Zhang 009; Zihan Liao; Yushun Tang; Zhihai He (BMVC, 2023)

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation. - Zhehan Kan; Shuoshuo Chen; Ce Zhang 009; Yushun Tang; Zhihai He (CVPR, 2023)

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. - Yushun Tang; Ce Zhang 009; Heng Xu; Shuoshuo Chen; Jie Cheng; Luziwei Leng; Qinghai Guo; Zhihai He (CVPR, 2023)

Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation. - Yushun Tang; Qinghai Guo; Zhihai He (ICIP, 2023)

Concept-Guided Prompt Learning for Generalization in Vision-Language Models. - Yi Zhang 109; Ce Zhang 009; Ke Yu; Yushun Tang; Zhihai He (AAAI, 2024)

Window-Based Channel Attention for Wavelet-Enhanced Learned Image Compression. - Heng Xu; Bowen Hai; Yushun Tang; Zhihai He (ACCV (7), 2024)

Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation. - Yushun Tang; Shuoshuo Chen; Zhihe Lu; Xinchao Wang; Zhihai He (ECCV (67), 2024)

Learning Inference-Time Drift Sensor-Actuator for Domain Generalization. - Shuoshuo Chen; Yushun Tang; Zhehan Kan; Zhihai He (ICASSP, 2024)

Domain-Conditioned Transformer for Fully Test-time Adaptation. - Yushun Tang; Shuoshuo Chen; Jiyuan Jia; Yi Zhang 109; Zhihai He (ACM Multimedia, 2024)

Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models. - Yi Zhang 109; Ke Yu; Angelica I. Avilés-Rivero; Jiyuan Jia; Yushun Tang; Zhihai He (ACM Multimedia, 2024)

Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation. - Yushun Tang; Shuoshuo Chen; Zhehan Kan; Yi Zhang 109; Qinghai Guo; Zhihai He (CoRR, 2024)

Cross-Modal Concept Learning and Inference for Vision-Language Models. - Yi Zhang 109; Ce Zhang 009; Yushun Tang; Zhihai He (Neurocomputing, 2024)