Songlin Dong
14 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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Conferences
AAAI (5)
CVPR (3)
ECCV (2)
ACL (1)
ICCV (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
continual learning
(5)
catastrophic forgetting
(5)
class-incremental learning
(4)
class incremental learning
(3)
multi-label classification
(2)
knowledge distillation
(2)
neural network
(2)
domain adaptation
(2)
few-shot learning
(2)
domain generalization
(1)
prototype learning
(1)
object detection
(1)
attention mechanism
(1)
knowledge transfer
(1)
online learning
(1)
subspace learning
(1)
feature space
(1)
feature extraction
(1)
multimodal learning
(1)
image restoration
(1)
Papers
Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation
AAAI 2026
GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery
AAAI 2026
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
AAAI 2025
SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
ACL 2025
Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration
ECCV 2024
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias
AAAI 2024
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
CVPR 2024
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
ECCV 2024
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning
WACV 2024
Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning
ICCV 2023
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
CVPR 2023
IDPT: Interconnected Dual Pyramid Transformer for Face Super-Resolution
IJCAI 2022
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
AAAI 2021
Few-Shot Class-Incremental Learning
CVPR 2020