SY Shi-Yu Tian

🤵🏻 About Me

I am a Ph.D. student in Computer Science at Nanjing University and a member of the LAMDA Group, within the School of Artificial Intelligence. I am advised by Professor Yu-Feng Li, and previously I worked closely with Prof. Lei Feng. My current research mainly focuses on spatial intelligence, especially how learning systems understand, reason about, and act on structured spatial information. I also work on neuro-symbolic AI and trustworthy AI, with an interest in combining large language models, symbolic tools, and reliable reasoning.

🎓 Education

2024 - Present
Ph.D. in Computer Science
School of Artificial Intelligence, Nanjing University.
2020 - 2024
B.Sc. in Computer Science
College of Computer Science, Chongqing University.

💼 Experience

2026.06 - Now
TGT Program Intern, JD Retail.

🎉 News

  • [2026/06] NeSy-Route is accepted by ECCV 2026.
  • [2026/06] I started my first talent-program internship in the TGT (Tech Genius Team) Program at JD Retail.
  • [2026/05] On the Learnability of Test-Time Adaptation is accepted by ICML 2026.
  • [2026/04] TabularMath is accepted by ACL 2026.
  • [2025/08] VCSearch is accepted by EMNLP 2025 (Oral).
  • [2025/06] We released the PMC benchmark of VCSearch.
  • [2025/05] We released TabularMath, a reasoning-intensive table QA benchmark.
  • [2024/12] One paper is accepted by Frontiers of Computer Science.
  • [2024/02] CroSel is accepted by CVPR 2024 (Oral).

📝 Publications

🤝 Academic Service

Journal Reviewer Neural Networks.
Conference Reviewer IJCAI 2025; ICLR 2025, 2026; ICML 2026; CVPR 2026; ECCV 2026.
Teaching Assistant
2026 Spring: Matrix Computation, with Prof. Yu-Feng Li.
2026 Spring: Advanced Machine Learning, with Prof. Yu-Feng Li.