Twice Class Bias Correction for Imbalanced Semi-supervised Learning. - Lan Li 001; Bowen Tao; Lu Han; De-Chuan Zhan; Han-Jia Ye (AAAI, 2024)

CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. - Bowen Tao; Lan Li 001; Xin-Chun Li; De-Chuan Zhan (ICASSP, 2024)

Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation. - Lan Li 001; Xin-Chun Li; Han-Jia Ye; De-Chuan Zhan (ICML, 2024)

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. - Xin-Chun Li; Jin-Lin Tang; Bo Zhang; Lan Li 001; De-Chuan Zhan (CoRR, 2024)

Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks. - Xin-Chun Li; Lan Li 001; De-Chuan Zhan (CoRR, 2024)

Aligning model outputs for class imbalanced non-IID federated learning. - Lan Li 001; De-Chuan Zhan; Xin-Chun Li (Mach. Learn., 2024)

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts. - Lan Li 001; Da-Wei Zhou 001; Han-Jia Ye; De-Chuan Zhan (CoRR, 2025)