LAMDA-SSL: Semi-Supervised Learning in Python. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (CoRR, 2022)

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. - Zhi Zhou 007; Lan-Zhe Guo; Lin-Han Jia; Dingchu Zhang; Yufeng Li 008 (ICML, 2023)

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Jie-Jing Shao; Yuke Xiang; Yufeng Li 008 (ICML, 2023)

Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (ICLR, 2024)

LAMDA-SSL: a comprehensive semi-supervised learning toolkit. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Yufeng Li 008 (Sci. China Inf. Sci., 2024)

Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions. - Shi-Yu Tian; Zhi Zhou 007; Lin-Han Jia; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2024)

Robust Semi-Supervised Learning in Open Environments. - Lan-Zhe Guo; Lin-Han Jia; Jie-Jing Shao; Yu-Feng Li (CoRR, 2024)

A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception. - Lin-Han Jia; Si-Yu Han; Lan-Zhe Guo; Zhi Zhou 007; Zhao-Long Li; Yufeng Li 008; Zhi-Hua Zhou (CoRR, 2025)

Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible. - Lin-Han Jia; Wen-Chao Hu; Jie-Jing Shao; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2025)

Micro Text Classification Based on Balanced Positive-Unlabeled Learning. - Lin-Han Jia; Lan-Zhe Guo; Zhi Zhou 007; Si-Ye Han; Zi-Wen Li; Yufeng Li 008 (CoRR, 2025)

Curriculum Abductive Learning. - Wen-Chao Hu; Qi-Jie Li; Lin-Han Jia; Cunjing Ge; Yufeng Li 008; Yuan Jiang 001; Zhi-Hua Zhou (CoRR, 2025)

Robust semi-supervised learning in open environments. - Lan-Zhe Guo; Lin-Han Jia; Jie-Jing Shao; Yufeng Li 008 (Frontiers Comput. Sci., 2025)