A Graph-based Image Clustering Method Using Mutual Information Maximization. - Xun Yu; Zicheng Pan; Yongsheng Gao 001 (ROBIO, 2019)

Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (DICTA, 2021)

Extraction of Dynamic Frequency Response Characteristics and Modelling of Modern Air Conditioners. - Feifei Bai; Ruifeng Yan; Tapan Kumar Saha; Yi Cui 004; Zicheng Pan (IEEE Trans. Smart Grid, 2021)

SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (WACV, 2023)

EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles. - Zicheng Pan; Xiaohan Yu 001; Yongsheng Gao 001 (BMVC, 2024)

Pseudo-set Frequency Refinement architecture for fine-grained few-shot class-incremental learning. - Zicheng Pan; Weichuan Zhang; Xiaohan Yu 001; Miaohua Zhang; Yongsheng Gao 001 (Pattern Recognit., 2024)

Overcoming learning bias via Prototypical Feature Compensation for source-free domain adaptation. - Zicheng Pan; Xiaohan Yu 001; Weichuan Zhang; Yongsheng Gao 001 (Pattern Recognit., 2025)

Session-Guided Attention in Continuous Learning With Few Samples. - Zicheng Pan; Xiaohan Yu 001; Yongsheng Gao 001 (IEEE Trans. Image Process., 2025)

Propensity-driven Uncertainty Learning for Sample Exploration in Source-Free Active Domain Adaptation. - Zicheng Pan; Xiaohan Yu 001; Weichuan Zhang; Yongsheng Gao 001 (CoRR, 2025)

Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric. - Xiaohan Yu 001; Zicheng Pan; Yang Zhao 019; Yongsheng Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning. - Zicheng Pan; Xiaohan Yu 001; Miaohua Zhang; Weichuan Zhang; Yongsheng Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)