About Me

I am currently a PhD student in Computer Science at the University of Illinois at Chicago under the supervision of Prof. Philip S. Yu (Fellow of ACM, IEEE and AAAS). Prior to that, under the guidance of Prof. Michael Tippett, I completed a Master of Science in Applied Mathematics at Fu Foundation School of Engineering and Applied Science, Columbia University in the City of New York. Before joining Columbia, I completed my undergraduate studies in Mathematics and Applied Mathematics at the University of North Carolina Wilmington.

Research Interests

  • Vision-Language Models Development
  • Multimodality Algorithms Research
  • Machine Learning
  • Reinforcement Learning

News & Highlights

  • [2026.05] Our paper is accepted to KDD 2026. See you in Jeju, Korea!
  • [2025.10] Invited as the Program Committee member for WWW 2026.
  • [2024.08] As the research assistant at Lamont-Doherty Earth Observatory, under Profs. Michael Tippett & Chia-Ying Lee, used PDE boundary filters and EAR5/MERRA/NeuralGCM data mining to fine-tune TempestExtremes for global tropical cyclone and tornado forecasting.
  • [2024.07] Partnered with Prof. Haiying Shen in the Computer Science Department at the University of Virginia to optimize LRU cache replacement strategies and lookahead algorithms for LLMs key–value caching.

Professional Experience

Publications

ARC-STAR paper

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models

Chengze Li, Lingwei Wei, Li Sun, ... , Philip Yu

Under Review

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Deployment paper

A Deployment Audit of Release-Side Risk in Conformal Triage under Prevalence Shift

Chengze Li, Xiao Liu, Hanrong Zhang, ... , Xiangrong Qi, Qichao Zhou

Under Review

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CoEvoSkills paper

CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification

Hanrong Zhang, Shicheng Fan, ... , Chengze Li, ... , Philip Yu

Under Review

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NodeRAG paper

NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes

Tianyang Xu, Haojie Zheng, Chengze Li, Haoxiang Chen, Yixin Liu, Ruoxi Chen, Lichao Sun

https://arxiv.org/pdf/2504.11544

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Auto-Segmentation paper

Patient-specific Daily Updated Deep-Learning Auto-Segmentation for MRI-Guided Adaptive Radiotherapy

Zhenjiang Li, Wei Zhang, Baosheng Li, Jian Zhu, Yinglin Peng, Chengze Li, …

Radiotherapy and Oncology, Dec 2022

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