Scholar
Kun-Yang Yu
Google Scholar ID: mkP1EtkAAAAJ
LAMDA Group, Nanjing University
Citations & Impact
Citations
12
H-index
2
i10-index
0
Publications
4
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- 1. 'Fully Test-time Adaptation for Tabular Data', Proceedings of the 39th AAAI conference on Artificial Intelligence, Philadelphia, 2025 (CCF-A)
- 2. 'LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM', SCI-FM Workshop @ ICLR 2025
- 3. 'Fully Test-Time Adaptation for Feature Decrement in Tabular Data', Proceedings of the 34th International Joint Conference on Artificial Intelligence, Montreal, 2025 (IJCAI 2025, CCF-A)
- 4. 'VC Search: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical Reasoning', Proceedings of the Conference on Empirical Methods in Natural Language, 2025 (EMNLP 2025, CAAI-A)
- 5. 'Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights', Preprint, Under review
- Additionally, served as a Program Committee Member for ICLR 2025, IJCAI 2025, and ECAI 2025.
Research Experience
- Involved in multiple research projects and has published papers at several international conferences.
Education
- Graduated from Southeast University with a B.Sc. degree in June 2024; admitted to Nanjing University for an M.Sc. degree without entrance examination in the same year, under the supervision of Professor Yu-Feng Li.
Background
- A first-year M.Sc. student at the School of Artificial Intelligence, Nanjing University, advised by Professor Yu-Feng Li (李宇峰), and a member of the LAMDA Group (机器学习与数据挖掘研究所) led by Professor Zhi-Hua Zhou (周志华). Research interests and field of expertise include artificial intelligence.
Miscellany
- Personal interests not mentioned
