Jinyang Li

I'm a professor of Computer Science at the Courant Institute of Mathematical Sciences at New York University. My research focuses on machine learning systems, distributed and parallel computing, and database systems. I'm particularly interested in building better system abstractions to make it easier to develop distributed and parallel applications, pushing performance using modern hardware and smarter designs, and improving system reliability overall. I've been fortunate to work with a talented group of students. Together, we publish our work and open source the ideas we're most excited about.

Selected Open Source Projects

Recent Publications All

• [VLDB 2025] Sonata: Multi-Database Transactions Made Fast and Serializable
• [COLM 2025] Reasoning Models Know When They’re Right: Probing Hidden States for Self-Verification
• [OSDI 2025] Understanding Stragglers in Large Model Training Using What-if Analysis
• [ICLR 2025] On Scaling Up 3D Gaussian Splatting Training
• [NSDI 2025] Runtime Protocol Refinement Checking for Distributed Protocol Implementations
• [SIGMOD 2025] Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency
• [SIGMOD 2025] DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
• [Eurosys 2025] Stateful Large Language Model Serving with Pensiev

Teaching

• [Fall 2025] Machine Learning Systems
• [Spring 2026] Computer Systems Organization

Students

I am co-advising many wonderful Ph.D. students with Aurojit Panda

• Ding Ding
• Haitian Jiang
• Jinkun Lin
• David Pissara
• Anqi Zhang
• Hexu Zhao
• Daniel Qian (also co-advised with Anirudh Sivaraman)