SY Shi-Yu Tian
Spatial Intelligence · Neuro-Symbolic AI · Trustworthy AI

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.

tiansy@lamda.nju.edu.cn

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.

Recent Updates

A short timeline of recent publications, releases, and milestones.

  • [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).

Selected Works

Each paper is shown with a visual card for faster scanning. `*` denotes co-first authorship.

Community Work

I regularly review for conferences and journals in machine learning and computer vision.

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.