Lin-Han Jia

According to our database, Lin-Han Jia authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training.

Hong-Jie You, Jie-Jing Shao, Xiao-Wen Yang, Lin-Han Jia, Lan-Zhe Guo, Yu-Feng Li

CoRR, December, 2025

Robust semi-supervised learning in open environments.

Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yufeng Li

Frontiers Comput. Sci., August, 2025

When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective.

Lin-Han Jia, Si-Yu Han, Wen-Chao Hu, Jie-Jing Shao, Wen-Da Wei, Zhi Zhou, Lan-Zhe Guo, Yufeng Li

CoRR, August, 2025

Micro Text Classification Based on Balanced Positive-Unlabeled Learning.

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Si-Ye Han, Zi-Wen Li, Yufeng Li

CoRR, March, 2025

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, Zhao-Long Li, Yufeng Li, Zhi-Hua Zhou

CoRR, February, 2025

Curriculum Abductive Learning.

Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia, Cunjing Ge, Yufeng Li, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models.

Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yufeng Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible.

Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li

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

VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning.

Shi-Yu Tian, Zhi Zhou, Kun-Yang Yu, Ming Yang, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Robust Semi-Supervised Learning in Open Environments.

Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yu-Feng Li

CoRR, 2024

Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions.

Shi-Yu Tian, Zhi Zhou, Lin-Han Jia, Lan-Zhe Guo, Yufeng Li

CoRR, 2024

LAMDA-SSL: a comprehensive semi-supervised learning toolkit.

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li

Sci. China Inf. Sci., 2024

Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments.

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions.

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yufeng Li

Proceedings of the International Conference on Machine Learning, 2023

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift.

Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yufeng Li

Proceedings of the International Conference on Machine Learning, 2023

2022

LAMDA-SSL: Semi-Supervised Learning in Python.

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li

CoRR, 2022