Songlin Dong - RankMe

53 papers A* 10A 1Journal 38Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diversity covariance-aware prompt learning for vision-language models. Pattern Recognit. Zhengdong Zhou, Songlin Dong, Chenhao Ding, Xinyuan Gao, Yuhang He, Yihong Gong
2026	A*	`conf`	GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery. AAAI Jizhou Han, Chenhao Ding, Songlin Dong, Yuhang He, Shaokun Wang, Qiang Wang, Yihong Gong
2026	J	`jnl`	GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery. CoRR Jizhou Han, Chenhao Ding, Songlin Dong, Yuhang He, Shaokun Wang, Qiang Wang, Yihong Gong
2026	J	`jnl`	Is Parameter Isolation Better for Prompt-Based Continual Learning? CoRR Jiangyang Li, Chenhao Ding, Songlin Dong, Qiang Wang, Jianchao Zhao, Yuhang He, Yihong Gong
2026	J	`jnl`	Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning. IEEE Trans. Circuits Syst. Video Technol. Jizhou Han, Chenhao Ding, Yuhang He, Songlin Dong, Qiang Wang, Xinyuan Gao, Yihong Gong
2026	J	`jnl`	Learning Like Humans: Analogical Concept Learning for Generalized Category Discovery. CoRR Jizhou Han, Chenhao Ding, Yuhang He, Qiang Wang, Shaokun Wang, Songlin Dong, Yihong Gong
2026	J	`jnl`	Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models. CoRR Haoyun Liu, Jianzhuang Zhao, Xinyuan Chang, Tianle Shi, Chuanzhang Meng, Jiayuan Tan, Feng Xiong, Tong Lin, Dongjie Huo, Mu Xu, Songlin Dong, Zhiheng Ma, Yihong Gong, Sheng Zhong
2026	J	`jnl`	P2L-CA: An Effective Parameter Tuning Framework for Rehearsal-Free Multi-Label Class-Incremental Learning. CoRR Songlin Dong, Jiangyang Li, Chenhao Ding, Zhiheng Ma, Haoyu Luo, Yuhang He, Yihong Gong
2026	J	`jnl`	ReMoT: Reinforcement Learning with Motion Contrast Triplets. CoRR Cong Wan, Zeyu Guo, Jiangyang Li, Songlin Dong, Yifan Bai, Lin Peng, Zhiheng Ma, Yihong Gong
2026	A*	`conf`	Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation. AAAI Jianchao Zhao, Chenhao Ding, Songlin Dong, Jiangyang Li, Qiang Wang, Yuhang He, Yihong Gong
2026	J	`jnl`	Trajectory-Diversity-Driven Robust Vision-and-Language Navigation. CoRR Jiangyang Li, Cong Wan, Songlin Dong, Chenhao Ding, Qiang Wang, Zhiheng Ma, Yihong Gong
2025	J	`jnl`	Analogical Augmentation and Significance Analysis for Online Task-Free Continual Learning. IEEE Trans. Multim. Songlin Dong, Yingjie Chen, Yuhang He, Yuhan Jin, Alex C. Kot, Yihong Gong
2025	J	`jnl`	Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models. CoRR Songlin Dong, Chenhao Ding, Jiangyang Li, Jizhou Han, Qiang Wang, Yuhang He, Yihong Gong
2025	J	`jnl`	CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning. IEEE Trans. Circuits Syst. Video Technol. Songlin Dong, Xinyuan Gao, Yuhang He, Zhengdong Zhou, Alex C. Kot, Yihong Gong
2025	J	`jnl`	Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning. CoRR Songlin Dong, Yuhang He, Zhengdong Zhou, Haoyu Luo, Xing Wei, Alex C. Kot, Yihong Gong
2025	J	`jnl`	Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classification. IEEE Trans. Medical Imaging Mengchu Wang, Yuhang He, Lin Peng, Xiang Song, Songlin Dong, Yihong Gong
2025	J	`jnl`	Diversity Covariance-Aware Prompt Learning for Vision-Language Models. CoRR Songlin Dong, Zhengdong Zhou, Chenhao Ding, Xinyuan Gao, Alex ChiChung Kot, Yihong Gong
2025	A*	`conf`	DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype. AAAI Qiang Wang, Yuhang He, Songlin Dong, Xiang Song, Jizhou Han, Haoyu Luo, Yihong Gong
2025	J	`jnl`	DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype. CoRR Qiang Wang, Yuhang He, Songlin Dong, Xiang Song, Jizhou Han, Haoyu Luo, Yihong Gong
2025	J	`jnl`	ExPaMoE: An Expandable Parallel Mixture of Experts for Continual Test-Time Adaptation. CoRR Jianchao Zhao, Chenhao Ding, Songlin Dong, Yuhang He, Yihong Gong
2025	J	`jnl`	Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning. CoRR Jizhou Han, Chenhao Ding, Yuhang He, Songlin Dong, Qiang Wang, Xinyuan Gao, Yihong Gong
2025	J	`jnl`	Space Rotation with Basis Transformation for Training-free Test-Time Adaptation. CoRR Chenhao Ding, Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Xiang Song, Alex C. Kot, Yihong Gong
2025	—	`conf`	SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning. ACL (Findings) Chenhao Ding, Jiangyang Li, Songlin Dong, Xinyuan Gao, Yuhang He, Yihong Gong
2025	J	`jnl`	Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation. CoRR Jizhou Han, Chenhao Ding, Songlin Dong, Yuhang He, Xinyuan Gao, Yihong Gong
2025	J	`jnl`	Unleashing the Power of Neural Collapse: Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery. CoRR Jizhou Han, Shaokun Wang, Yuhang He, Chenhao Ding, Qiang Wang, Xinyuan Gao, Songlin Dong, Yihong Gong
2025	J	`jnl`	VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection. CoRR Qiang Wang, Xinyuan Gao, Songlin Dong, Jizhou Han, Jiangyang Li, Yuhang He, Yihong Gong
2024	J	`jnl`	Analogical Learning-Based Few-Shot Class-Incremental Learning. IEEE Trans. Circuits Syst. Video Technol. Jiashuo Li, Songlin Dong, Yihong Gong, Yuhang He, Xing Wei
2024	—	`conf`	Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning. ECCV (85) Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Yihong Gong
2024	J	`jnl`	Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning. CoRR Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Yihong Gong
2024	J	`jnl`	Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification. IEEE Trans. Neural Networks Learn. Syst. Songlin Dong, Yihong Gong, Jingang Shi, Miao Shang, Xiaoyu Tao, Xing Wei, Xiaopeng Hong, Tiangang Zhou
2024	J	`jnl`	CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning. CoRR Xinyuan Gao, Songlin Dong, Yuhang He, Xing Wei, Yihong Gong
2024	A*	`conf`	DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning. CVPR Yuhang He, Yingjie Chen, Yuhan Jin, Songlin Dong, Xing Wei, Yihong Gong
2024	J	`jnl`	Deep Class-Incremental Learning From Decentralized Data. IEEE Trans. Neural Networks Learn. Syst. Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong
2024	J	`jnl`	Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy. IEEE Trans. Circuits Syst. Video Technol. Li Ding, Xiang Song, Yuhang He, Changxin Wang, Songlin Dong, Xing Wei, Yihong Gong
2024	J	`jnl`	Few-shot Online Anomaly Detection and Segmentation. CoRR Shenxing Wei, Xing Wei, Zhiheng Ma, Songlin Dong, Shaochen Zhang, Yihong Gong
2024	J	`jnl`	Few-shot online anomaly detection and segmentation. Knowl. Based Syst. Shenxing Wei, Xing Wei, Zhiheng Ma, Songlin Dong, Shaochen Zhang, Yihong Gong
2024	J	`jnl`	Global self-sustaining and local inheritance for source-free unsupervised domain adaptation. Pattern Recognit. Lin Peng, Yuhang He, Shaokun Wang, Xiang Song, Songlin Dong, Xing Wei, Yihong Gong
2024	J	`jnl`	I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning. CoRR Songlin Dong, Yingjie Chen, Yuhang He, Yuhan Jin, Alex C. Kot, Yihong Gong
2024	J	`jnl`	LOBG:Less Overfitting for Better Generalization in Vision-Language Model. CoRR Chenhao Ding, Xinyuan Gao, Songlin Dong, Yuhang He, Qiang Wang, Alex C. Kot, Yihong Gong
2024	—	`conf`	Non-exemplar Domain Incremental Learning via Cross-Domain Concept Integration. ECCV (49) Qiang Wang, Yuhang He, Songlin Dong, Xinyuan Gao, Shaokun Wang, Yihong Gong
2024	A*	`conf`	Non-exemplar Domain Incremental Object Detection via Learning Domain Bias. AAAI Xiang Song, Yuhang He, Songlin Dong, Yihong Gong
2024	A	`conf`	Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning. WACV Xiang Song, Kuang Shu, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong
2023	A*	`conf`	DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning. CVPR Xinyuan Gao, Yuhang He, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong
2023	A*	`conf`	Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning. ICCV Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Jie Cheng, Yihong Gong
2023	J	`jnl`	Knowledge Restore and Transfer for Multi-label Class-Incremental Learning. CoRR Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Yihong Gong
2023	J	`jnl`	Model Behavior Preserving for Class-Incremental Learning. IEEE Trans. Neural Networks Learn. Syst. Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong
2023	J	`jnl`	Semantic Knowledge Guided Class-Incremental Learning. IEEE Trans. Circuits Syst. Video Technol. Shaokun Wang, Weiwei Shi, Songlin Dong, Xinyuan Gao, Xiang Song, Yihong Gong
2022	J	`jnl`	Deep Class Incremental Learning from Decentralized Data. CoRR Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong
2022	A*	`conf`	IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution. IJCAI Jingang Shi, Yusi Wang, Songlin Dong, Xiaopeng Hong, Zitong Yu, Fei Wang, Changxin Wang, Yihong Gong
2021	A*	`conf`	Few-Shot Class-Incremental Learning via Relation Knowledge Distillation. AAAI Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong
2021	—	`conf`	Structural Knowledge Organization and Transfer for Class-Incremental Learning. MMAsia Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong
2020	A*	`conf`	Few-Shot Class-Incremental Learning. CVPR Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong
2020	J	`jnl`	Few-Shot Class-Incremental Learning. CoRR Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong