Lan Li

13 papers A* 4Misc 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning.
AAAI
Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye, De-Chuan Zhan
2025 A* conf
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts.
ICML
Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025 J jnl
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts.
CoRR
Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025 J jnl
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning.
CoRR
Lan Li, Tao Hu, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
2025 J jnl
Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning.
CoRR
Tao Hu, Lan Li, Zhen-Hao Xie, Da-Wei Zhou
2024 J jnl
Aligning model outputs for class imbalanced non-IID federated learning.
Mach. Learn.
Lan Li, De-Chuan Zhan, Xin-Chun Li
2024 Misc conf
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning.
ICASSP
Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
2024 A* conf
Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation.
ICML
Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan
2024 J jnl
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks.
CoRR
Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
2024 A* conf
Twice Class Bias Correction for Imbalanced Semi-supervised Learning.
AAAI
Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye
2024 J jnl
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks.
CoRR
Xin-Chun Li, Lan Li, De-Chuan Zhan
2023 J jnl
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning.
CoRR
Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
2023 J jnl
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning.
CoRR
Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye