Lan Li

According to our database, Lan Li authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning.

Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning.

Tao Hu, Lan Li, Zhen-Hao Xie, Da-Wei Zhou

CoRR, November, 2025

BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning.

Lan Li, Tao Hu, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

CoRR, November, 2025

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts.

Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Aligning model outputs for class imbalanced non-IID federated learning.

Lan Li, De-Chuan Zhan, Xin-Chun Li

Mach. Learn., April, 2024

Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks.

Xin-Chun Li, Lan Li, De-Chuan Zhan

CoRR, 2024

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks.

Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan

CoRR, 2024

Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation.

Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning.

Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan

Proceedings of the IEEE International Conference on Acoustics, 2024

Twice Class Bias Correction for Imbalanced Semi-supervised Learning.

Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye

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