Lin-Han Jia @ LAMDA, NJU-CS
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贾林瀚 Lin-Han Jia
Ph.D. Student Supervisor: Professor Yu-Feng Li Email: jialh@lamda.nju.edu.cn Laboratory: Room 113, Computer Science Building, Xianlin Campus of Nanjing University [GitHub][Google Scholar][ZhiHu] |
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Biography
Currently I'm pursuing my Ph.D. degree in the Department of Computer Science and Technology at Nanjing University where I'm fortunate to be advised by Prof. Yu-Feng Li. I'm also a member of LAMDA Group, which is led by Prof. Zhi-Hua Zhou.
I received my B.Sc. degree from the College of Computer Science and Technology at Jilin University in June 2022.
Research Interests
My research interests include Machine Learning and Data Mining. Most recently, I focus on Neuro-Symbolic Learning, Unsupervised/Self/Weakly/Semi supervised learning, Reasoning Acceleration, Structured Generation and Quantum Machine Learning.
Publications
Journal Papers
Lan-Zhe Guo, Lin-Han Jia, Jie-Jing Shao, Yu-Feng Li. Robust semi-supervised learning in open environments. Frontiers of Computer Science. 2025.[Paper]
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, and Yu-Feng Li. LAMDA-SSL: A Comprehensive Semi-Supervised Learning Toolkit. Science CHINA Information Science. 2023. [Paper][Code][Slide]
Conference Papers
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, and Yu-Feng Li. Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments. In: Proceedings of the 12th International Conference on Learning Representations (ICLR'24). 2024.[Paper]
Zhi-Zhou, Lan-Zhe Guo, Lin-Han Jia, Ding-Chu Zhang, Yu-Feng Li. ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. In: Proceedings of the 40th International Conference on Machine Learning (ICML'23). 2023.
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li. Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. In: Proceedings of the 40th International Conference on Machine Learning (ICML'23). 2023.[Paper][Code]
Preprint
Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li. Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible. arXiv preprint arXiv:2503.12917. 2025.[Paper]
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Si-Ye Han, Zi-Wen Li, Yu-Feng Li. Micro Text Classification Based on Balanced Positive-Unlabeled Learning. arXiv preprint arXiv:2503.13562. 2025.[Paper]
Lin-Han Jia, Si-Yu Han, Lan-Zhe Guo, Zhi Zhou, Zhao-Long Li, Yu-Feng Li, Zhi-Hua Zhou. A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception. arXiv preprint arXiv:2502.12919. 2025.[Paper]
Shi-Yu Tian, Zhi Zhou,Lin-Han Jia, Lan-Zhe Guo, Yu-Feng Li. Robustness Assessment of Mathematical Reasoning in the Presence of Missing and Contradictory Conditions. arXiv preprint arXiv:2406.05055. 2025.[Paper]
Si-Yu Han, Lin-Han Jia, Lan-Zhe Guo. Multiple Embeddings for Quantum Machine Learning. arXiv preprint arXiv:2503.22758. 2025.[Paper]
Softwares
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Awards & Honors
Outstanding Graduate Student of Nanjing University, 2023 and 2024
National Scholarship, 2023
Outstanding Graduate of Jilin University, 2022
Outstanding Undergraduate Thesis of Jilin Uninversity, 2022
CCF Elite Collegiate Student Award, 2021
ACM-ICPC Asia Regional Contest, Silver Medal, 2021
Outstanding Student of Jilin University, 2021 and 2020
First Prize Scholarship of Jilin University, 2021 and 2020
CCPC Jilin Province Collegiate Programming Contest, Gold Medal, 2020
MCM/ICM, Finalist Prize, 2020
China Undergraduate Mathematical Contest in Modeling, First Prize of Jilin Province, 2020 and 2019
Academic Services
- Reviewer for Conferences and Journals: NeurIPS 2023, AAAI 2024, ICLR2024, Neuro Computing
- Volunteer for MLA 2022
Correspondence
Email: jialh@lamda.nju.edu.cn
Address: Lin-Han Jia, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China (南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)