Lingming Zhang
Associate Professor
Department of Computer Science
Grainger College of Engineering
University of Illinois Urbana-Champaign
     2104 Siebel Center

Dr. Lingming Zhang's main research interests lie in Software Engineering, and its synergy with Machine Learning, Programming Languages, and Formal Methods. He has published over 80 research papers, winning the ACM SIGSOFT Early Career Researcher Award, four ACM SIGSOFT Distinguished Paper Awards, and one Best Industry Paper Award. His research has helped detect 1000+ bugs for open-source projects from Apache and GitHub, as well as software systems from eBay, eMetric, Google, Meta/Facebook, Microsoft, NVIDIA, OctoML, Oracle, and Yahoo!. His work on regression testing optimization has been run day-to-day in Google, while his work on automated program repair and unified debugging has been successfully deployed to the Alipay system with million lines of code and over 1 billion global users. More recently, his work on ML system fuzzing has been adopted by NVIDIA developers. To date, his research has been supported by National Science Foundation (including NSF CAREER Award and NSF CRII Award), Google, Samsung, NVIDIA, Amazon, Alibaba, Kwai Inc, and Meta/Facebook.

Positions: I am looking for several Fall'24 PhD students interested in PL/FM/SE and/or Machine Learning (such as LLM4Code and ML System Reliability). Please apply to Illinois CS (with faculty interest) by Dec. 15th, and/or send me an email (with your CV).

Recent Services: LLM4Code 2024 (Organizer), OOPSLA 2024 (Associate Chair, Review Committee), ASE 2024 (Demos Co-Chair and AI&SE Area Chair), ICSE 2024, ISSTA 2024. Looking forward to your high-quality submissions!



Lingming Zhang is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Dr. Zhang got his B.S. in Computer Science from Nanjing University (China) in 2007, and M.S. in Computer Science from Peking University (China) in 2010. He got his Ph.D. in May. 2014 from the Electrical & Computer Engineering Department at The University of Texas at Austin. He was very fortunate to work under the supervision of Prof. Sarfraz Khurshid in the Software Verification Validation and Testing Group. Before August 2020, he was an Assistant Professor in the Department of Computer Science at the University of Texas at Dallas. He received a NSF CRII Award in 2016, a Google Faculty Research Award in 2016, a Samsung GRO Award in 2017, a NVIDIA GPU Grant in 2018, an Amazon AWS Research Grant in 2019, an Alibaba Research Gift in 2019, a NSF CAREER Award in 2020, an ACM SIGSOFT Early Career Researcher Award in 2021, a Google Research Scholar Award in 2022, and a Meta Research Award in 2022.