Songlin Dong

According to our database, Songlin Dong authored at least 36 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 2025

ExPaMoE: An Expandable Parallel Mixture of Experts for Continual Test-Time Adaptation.

JianChao Zhao, Chenhao Ding, Songlin Dong, Yuhang He, Yihong Gong

CoRR, July, 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, July, 2025

Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classification.

Mengchu Wang, Yuhang He, Lin Peng, Xiang Song, Songlin Dong, Yihong Gong

IEEE Trans. Medical Imaging, May, 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, May, 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., April, 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, March, 2025

Diversity Covariance-Aware Prompt Learning for Vision-Language Models.

Songlin Dong, Zhengdong Zhou, Chenhao Ding, Xinyuan Gao, Alex ChiChung Kot, Yihong Gong

CoRR, March, 2025

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning.

Songlin Dong, Yuhang He, Zhengdong Zhou, Haoyu Luo, Xing Wei, Alex C. Kot, Yihong Gong

CoRR, March, 2025

Space Rotation with Basis Transformation for Training-free Test-Time Adaptation.

Chenhao Ding, Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Xiang Song, Alex C. Kot, Yihong Gong

CoRR, February, 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

SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning.

Chenhao Ding, Jiangyang Li, Songlin Dong, Xinyuan Gao, Yuhang He, Yihong Gong

Proceedings of the Findings of the Association for Computational Linguistics, 2025

DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype.

Qiang Wang, Yuhang He, Songlin Dong, Xiang Song, Jizhou Han, Haoyu Luo, Yihong Gong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification.

Songlin Dong, Yihong Gong, Jingang Shi, Miao Shang, Xiaoyu Tao, Xing Wei, Xiaopeng Hong, Tiangang Zhou

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Deep Class-Incremental Learning From Decentralized Data.

Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy.

Li Ding, Xiang Song, Yuhang He, Changxin Wang, Songlin Dong, Xing Wei, Yihong Gong

IEEE Trans. Circuits Syst. Video Technol., January, 2024

Analogical Learning-Based Few-Shot Class-Incremental Learning.

Jiashuo Li, Songlin Dong, Yihong Gong, Yuhang He, Xing Wei

IEEE Trans. Circuits Syst. Video Technol., 2024

Global self-sustaining and local inheritance for source-free unsupervised domain adaptation.

Lin Peng, Yuhang He, Shaokun Wang, Xiang Song, Songlin Dong, Xing Wei, Yihong Gong

Pattern Recognit., 2024

Few-shot online anomaly detection and segmentation.

Shenxing Wei, Xing Wei, Zhiheng Ma, Songlin Dong, Shaochen Zhang, Yihong Gong

Knowl. Based Syst., 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

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

CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning.

Xinyuan Gao, Songlin Dong, Yuhang He, Xing Wei, Yihong Gong

CoRR, 2024

Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning.

Xiang Song, Kuang Shu, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Non-exemplar Domain Incremental Learning via Cross-Domain Concept Integration.

Qiang Wang, Yuhang He, Songlin Dong, Xinyuan Gao, Shaokun Wang, Yihong Gong

Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning.

Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Yihong Gong

Proceedings of the Computer Vision - ECCV 2024, 2024

DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning.

Yuhang He, Yingjie Chen, Yuhan Jin, Songlin Dong, Xing Wei, Yihong Gong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Non-exemplar Domain Incremental Object Detection via Learning Domain Bias.

Xiang Song, Yuhang He, Songlin Dong, Yihong Gong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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., October, 2023

Semantic Knowledge Guided Class-Incremental Learning.

Shaokun Wang, Weiwei Shi, Songlin Dong, Xinyuan Gao, Xiang Song, Yihong Gong

IEEE Trans. Circuits Syst. Video Technol., October, 2023

Knowledge Restore and Transfer for Multi-label Class-Incremental Learning.

Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Yihong Gong

CoRR, 2023

Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning.

Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Jie Cheng, Yihong Gong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning.

Xinyuan Gao, Yuhang He, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution.

Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Structural Knowledge Organization and Transfer for Class-Incremental Learning.

Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation.

Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Few-Shot Class-Incremental Learning.

Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020