Jialin Lu

I am Jialin (Mike) Lu, a Computer Science Ph.D. student at Simon Fraser University, advised by Wuyang Chen. Previously, I completed my undergraduate studies at the University of British Columbia. My research focuses on AI for Mathematics and formal reasoning. I am interested in making AI reasoning verifiable and trustworthy through formal languages such as Lean, and building agentic systems that accelerate mathematical research.

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Publications

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search
Jialin Lu, Soonho Kong, Rodrigo Stehling, Kaiyu Yang, Zhangyang Wang, Weiran Sun, Wuyang Chen
Preprint, 2026
arXiv / project page

We present Lean Refactor, a plug-and-play retrieval-augmented agentic framework for multi-objective, controllable, and version-robust refactoring of Lean proofs.

Lean Finder: Semantic Search for Mathlib That Understands User Intents
Jialin Lu, Kye Emond, Kaiyu Yang, Swarat Chaudhuri, Weiran Sun, Wuyang Chen
ICLR, 2026
arXiv / project page

We present Lean Finder, a semantic search engine for Lean and mathlib that understands and aligns with the intents of mathematicians.

Miscellanea

Teaching

Teaching Assistant, CPSC313 (Operating Systems), UBC, 2025
Teaching Assistant, CPSC330 (Applied Machine Learning), UBC, 2024

Website design from: Jon Barron