About Me

I am Ming Yang (杨铭), a first-year Ph.D. student in the M.S.-Ph.D. track at the School of Artificial Intelligence of 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).

Biography

Research Interests

My research focuses on reliable multimodal intelligence, particularly reasoning, planning, and test-time adaptation. I also explore neuro-symbolic methods and agentic foundation models for remote sensing.

News

• [2026/06] NeSy-Route was accepted to the 19th European Conference on Computer Vision (2026).
• [2026/05] On the Learnability of Test-Time Adaptation was accepted to the 43rd International Conference on Machine Learning (2026).
• [2026/04] TabularMath was accepted to Findings of the 64th Annual Meeting of the Association for Computational Linguistics (2026).
• [2025/08] VCSearch was accepted to the 2025 Conference on Empirical Methods in Natural Language Processing as an Oral presentation.

Selected Works

ICML 2024

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection

Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li^†
[Paper] [Project]

Proceedings of the 41st International Conference on Machine Learning, 2024

CCF-A

ICML 2026

On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective

Zhi Zhou, Ming Yang, Shi-Yu Tian, Kun-Yang Yu, Lan-Zhe Guo, Yu-Feng Li^†
[Paper] [Project]

Proceedings of the 43rd International Conference on Machine Learning, 2026

CCF-A

ECCV 2026

NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing

Ming Yang, Zhi Zhou^†, Shi-Yu Tian, Kun-Yang Yu, Lan-Zhe Guo, Yu-Feng Li^†
[Paper] [Project] [Code] [Data]

Proceedings of the 19th European Conference on Computer Vision, 2026

CCF-B, CAAI-A

^† indicates corresponding authors.

Academic Service

Conference Reviewer: ICLR 2025; ICML 2025, 2026; KDD 2025; IJCAI 2025, 2026; ACML 2026.