[1] Yushun Tang, Ce Zhang, Heng Xu, et al. Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023: 3728-3738.
[2] Zhehan Kan, Shuoshuo Chen, Ce Zhang, Yushun Tang, Zhihai He. Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023: 5537-5546.
[3] Yushun Tang, Qinghai Guo, Zhihai He. Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation[C]//2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2023.
[4] Yushun Tang, Shuoshuo Chen, Zhihe Lu, et al. Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation. European Conference on Computer Vision, 2024.
[5] Yushun Tang, Shuoshuo Chen, Zhehan Kan, et al. Long Short-Term Learning of Visual Conditioning Tokens for Test-time Adaptation. IEEE Transactions on Multimedia.
[6] Yi Zhang, Ce Zhang, Zihan Liao, Yushun Tang, et al. BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning. 34th British Machine Vision Conference.
[7] Shuoshuo Chen, Yushun Tang, Zhehan Kan, Zhihai He. Learning Inference-Time Drift Sensor-Actuator for Domain Generalization. ICASSP2024
[8] Yi Zhang, Ce Zhang, Yushun Tang, et al. Cross-Modal Concept Discovery and Reasoning for Vision-Language Models. NeuroComputing.
[9] Yi Zhang, Ce Zhang, Ke Yu, Yushun Tang, et al. Concept-Guided Prompt Learning for Generalization in Vision-Language Models. Proceedings of the AAAI Conference on Artificial Intelligence 38.
[10] Yushun Tang, Shuoshuo Chen, Jiyuan Jia, et al. Domain-Conditioned Transformer for Fully Test-time Adaptation. ACM Multimedia 2024.
[11] Yi Zhang, Ke Yu, AI Aviles-Rivero, Jiyuan Jia, Yushun Tang, et al. Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models. ACM Multimedia 2024.