Few-Shot Class-Incremental Learning. - Xiaoyu Tao; Xiaopeng Hong; Xinyuan Chang; Songlin Dong; Xing Wei 001; Yihong Gong (CVPR, 2020)

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation. - Songlin Dong; Xiaopeng Hong; Xiaoyu Tao; Xinyuan Chang; Xing Wei 001; Yihong Gong (AAAI, 2021)

Structural Knowledge Organization and Transfer for Class-Incremental Learning. - Yu Liu; Xiaopeng Hong; Xiaoyu Tao; Songlin Dong; Jingang Shi; Yihong Gong (MMAsia, 2021)

IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution. - Jingang Shi; Yusi Wang; Songlin Dong; Xiaopeng Hong; Zitong Yu; Fei Wang 037; Changxin Wang; Yihong Gong (IJCAI, 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)

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning. - Songlin Dong; Haoyu Luo; Yuhang He; Xing Wei 001; Jie Cheng; Yihong Gong (ICCV, 2023)

Knowledge Restore and Transfer for Multi-label Class-Incremental Learning. - Songlin Dong; Haoyu Luo; Yuhang He; Xing Wei 001; Yihong Gong (CoRR, 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)

Model Behavior Preserving for Class-Incremental Learning. - Yu Liu; Xiaopeng Hong; Xiaoyu Tao; Songlin Dong; Jingang Shi; Yihong Gong (IEEE Trans. Neural Networks Learn. Syst., 2023)

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias. - Xiang Song 005; Yuhang He; Songlin Dong; Yihong Gong (AAAI, 2024)

DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning. - Yuhang He; Yingjie Chen; Yuhan Jin; Songlin Dong; Xing Wei 001; Yihong Gong (CVPR, 2024)

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)

Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning. - Xiang Song 005; Kuang Shu; Songlin Dong; Jie Cheng; Xing Wei 001; Yihong Gong (WACV, 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)

I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning. - Songlin Dong; Yingjie Chen; Yuhang He; Yuhan Jin; Alex C. Kot; 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)

Few-shot online anomaly detection and segmentation. - Shenxing Wei; Xing Wei 001; Zhiheng Ma; Songlin Dong; Shaochen Zhang; Yihong Gong (Knowl. Based Syst., 2024)

Global self-sustaining and local inheritance for source-free unsupervised domain adaptation. - Lin Peng 003; Yuhang He; Shaokun Wang; Xiang Song 005; Songlin Dong; Xing Wei 001; Yihong Gong (Pattern Recognit., 2024)

Analogical Learning-Based Few-Shot Class-Incremental Learning. - Jiashuo Li; Songlin Dong; Yihong Gong; Yuhang He; Xing Wei 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy. - Li Ding; Xiang Song 005; Yuhang He; Changxin Wang; Songlin Dong; Xing Wei 001; Yihong Gong (IEEE Trans. Circuits Syst. Video Technol., 2024)

Deep Class-Incremental Learning From Decentralized Data. - Xiaohan Zhang; Songlin Dong; Jinjie Chen; Qi Tian 001; Yihong Gong; Xiaopeng Hong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification. - Songlin Dong; Yihong Gong; Jingang Shi; Miao Shang; Xiaoyu Tao; Xing Wei 001; Xiaopeng Hong; Tiangang Zhou (IEEE Trans. Neural Networks Learn. Syst., 2024)

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype. - Qiang Wang; Yuhang He; Songlin Dong; Xiang Song 005; Jizhou Han; Haoyu Luo; Yihong Gong (AAAI, 2025)

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)

Analogical Augmentation and Significance Analysis for Online Task-Free Continual Learning. - Songlin Dong; Yingjie Chen; Yuhang He; Yuhan Jin; Alex C. Kot; Yihong Gong (IEEE Trans. Multim., 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)

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning. - Songlin Dong; Yuhang He; Zhengdong Zhou; Haoyu Luo; Xing Wei 001; 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)

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models. - Songlin Dong; Chenhao Ding; Jiangyang Li; Jizhou Han; Qiang Wang; Yuhang He; Yihong Gong (CoRR, 2025)

Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classification. - Mengchu Wang; Yuhang He; Lin Peng 003; Xiang Song 005; Songlin Dong; Yihong Gong (IEEE Trans. Medical Imaging, 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)

ExPaMoE: An Expandable Parallel Mixture of Experts for Continual Test-Time Adaptation. - JianChao Zhao; Chenhao Ding; Songlin Dong; Yuhang He; 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)