Papers published: ICML 2023 'ODS: Test-Time Adaptation in the Presence of Open-World Data Shift', ICML 2024 'DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection', AAAI 2025 'Fully Test-time Adaptation for Tabular Data', NeurIPS 2025 'A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning', NeurIPS 2024 'Neuro-Symbolic Data Generation for Math Reasoning'; Received National Science Foundation funding for PhD students.
Research Experience
No specific research experience information provided.
Education
2020.09 - Present: Ph.D. in Computer Science and Technology, School of Computer Science, Nanjing University, advised by Professor Yu-Feng Li; 2016.09 - 2020.06: B.Sc. in Computer Science and Technology, Tang Aoqing Honors Program, Jilin University; 2012.09 - 2016.06: High School Affiliated To Nanjing Normal University.
Background
A final year Ph.D. student at the Department of Computer Science and Technology, Nanjing University, advised by Professor Yu-Feng Li. A member of LAMDA Group (Machine Learning and Data Mining Institute), led by Professor Zhi-Hua Zhou.