Jinkun Lin (林锦坤)

I am a sixth-year Ph.D. student at the New York University Systems Group, advised by Prof. Jinyang Li and Prof. Aurojit Panda. I obtained a bachelor degree of Computer Science from Tsinghua University in 2019.

I am broadly interested in systems research, particularly in systems abstraction, reliability, debugging, and profiling aspects. My recent research focus is on Machine Learning Systems and Machine Learning Compilers.

Publications

• Stateful Large Language Model Serving with Pensieve. [Paper]
  Lingfan Yu, Jinkun Lin, Jinyang Li. EuroSys 2025.
• NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers. [Paper]
  Jiawei Liu*, Jinkun Lin* (Equal Contribution), Fabian Ruffy, Cheng Tan, Jinyang Li, Aurojit Panda, Lingming Zhang. ASPLOS 2023.
• Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments. [Paper][Poster]
  Jinkun Lin*, Anqi Zhang* (Equal Contribution), Mathias Lécuyer, Jinyang Li, Aurojit Panda, Siddhartha Sen. ICML 2022.
• HOP: Heterogeneity-Aware Decentralized Training. [Paper]
  Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian. ASPLOS 2019.