An Application Study on the Electronic Micro-Lesson Based English Drama in English Teaching of Chinese Public Junior High Schools. - Xinyuan Gao; Yang Feng (ICIEI, 2022)

Optimizing Color-Difference Formulas for 3D-Printed Objects. - Min Huang; Xinyuan Gao; Jie Pan; Xiu Li; Caroline Hemingray; Kaida Xiao; Manuel Melgosa (Sensors, 2022)

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning. - Xinyuan Gao; Yuhang He; Songlin Dong; Jie Cheng; Xing Wei 001; Yihong Gong (CVPR, 2023)

Interpretable knowledge-guided framework for modeling minimum miscible pressure of CO2-oil system in CO2-EOR projects. - Bin Shen; Shenglai Yang; Xinyuan Gao; Shuai Li; Kun Yang; Jiangtao Hu; Hao Chen (Eng. Appl. Artif. Intell., 2023)

Semantic Knowledge Guided Class-Incremental Learning. - Shaokun Wang; Weiwei Shi 003; Songlin Dong; Xinyuan Gao; Xiang Song 005; Yihong Gong (IEEE Trans. Circuits Syst. Video Technol., 2023)

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning. - Xinyuan Gao; Songlin Dong; Yuhang He; Qiang Wang; Yihong Gong (ECCV (85), 2024)

Non-exemplar Domain Incremental Learning via Cross-Domain Concept Integration. - Qiang Wang; Yuhang He; Songlin Dong; Xinyuan Gao; Shaokun Wang; Yihong Gong (ECCV (49), 2024)

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning. - Xinyuan Gao; Songlin Dong; Yuhang He; Xing Wei 001; Yihong Gong (CoRR, 2024)

LOBG:Less Overfitting for Better Generalization in Vision-Language Model. - Chenhao Ding; Xinyuan Gao; Songlin Dong; Yuhang He; Qiang Wang; Alex C. Kot; Yihong Gong (CoRR, 2024)

SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning. - Chenhao Ding; Jiangyang Li; Songlin Dong; Xinyuan Gao; Yuhang He; Yihong Gong (ACL (Findings), 2025)

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need. - Qiang Wang; Xiang Song 005; Yuhang He; Jizhou Han; Chenhao Ding; Xinyuan Gao; Yihong Gong (CVPR, 2025)

Research on personal digital hoarding behaviors of college students based on personality traits theory: the mediating role of emotional attachment. - Xiao Xie; Tianci Song; Li Li; Weihan Jiang; Xinyuan Gao; Liwang Shu; Yongmei Liu (Libr. Hi Tech, 2025)

Space Rotation with Basis Transformation for Training-free Test-Time Adaptation. - Chenhao Ding; Xinyuan Gao; Songlin Dong; Yuhang He; Qiang Wang; Xiang Song 005; Alex C. Kot; Yihong Gong (CoRR, 2025)

Diversity Covariance-Aware Prompt Learning for Vision-Language Models. - Songlin Dong; Zhengdong Zhou; Chenhao Ding; Xinyuan Gao; Alex ChiChung Kot; Yihong Gong (CoRR, 2025)

Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning. - Jizhou Han; Chenhao Ding; Yuhang He; Songlin Dong; Qiang Wang; Xinyuan Gao; Yihong Gong (CoRR, 2025)

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning. - Songlin Dong; Xinyuan Gao; Yuhang He; Zhengdong Zhou; Alex C. Kot; Yihong Gong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation. - Jizhou Han; Chenhao Ding; Songlin Dong; Yuhang He; Xinyuan Gao; Yihong Gong (CoRR, 2025)

Unleashing the Power of Neural Collapse: Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery. - Jizhou Han; Shaokun Wang; Yuhang He; Chenhao Ding; Qiang Wang; Xinyuan Gao; Songlin Dong; Yihong Gong (CoRR, 2025)