I am a Research Fellow at University College London (UCL), working with Prof. Mark Harman and Prof. Federica Sarro. I received my Ph.D. from Peking University (PKU), and was fortunate to be advised by Prof. Hong Mei and Prof. Xuanzhe Liu. My Ph.D dissertation won the Outstanding Doctoral Dissertation Award of China Computer Federation. I received my B.S. in Computer Science and B.A. in Economics from Peking University (PKU).

My research interests mainly focus on Trustworthy AI, Software Engineering for AI, and AI for Software Engineering. I received WWW 2019 Best Full Paper Award, ACM SIGSOFT Distinguished Paper Award (MSR 2023), and ASE 2023 Distinguished PC Member Award.

News

• October 10, 2023. Our paper "Fairness Improvement with Multiple Protected Attributes: How Far Are We?" is accepted by ICSE 2024.
• 🏆 September 12, 2023. I am selected as the Distinguished PC member of ASE 2023. Thanks for the recognition!
• September 5, 2023. Our comprehensive survey about bias mitigation for machine learning is accepted by ACM Journal on Responsible Computing.
• August 17, 2023. Our paper "Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems" is reported by New Scientist and Communications of The ACM.
• August 16, 2023. Our paper about detecting WebAssembly runtime bugs has been accepted by TOSEM.
• June 28, 2023. Three papers are accepted by ASE 2023 Journal First Track.
• May 17, 2023. Our paper "Adonis: Practical and Efficient Control Flow Recovery through OS-Level Traces" has been accepted by TOSEM.
• 🏆 May 15, 2023. Our MSR'23 paper has been selected as an ACM SIGSOFT Distinguished Paper. Thanks for the recognition!
• March 7, 2023. Our paper "AutoML from Software Engineering Perspective: Landscapes and Challenges" has been accepted by MSR 2023.
• January 24, 2023. Our paper "FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computing" has been accepted by TOSEM.
• January 16, 2023. Our paper "Who Judges the Judge: An Empirical Study on Online Judge Tests" has been accepted by ISSTA 2023.
• January 11, 2023. Our comprehensive study of fairness improvement methods for machine learning software has been accepted by TOSEM.
• December 5, 2022. Our systematic review of serverless computing has been accepted by TOSEM.
• September 23, 2022. Privacy-friendly federated learning on heterogeneous smartphones! Check out our paper "FLASH: Heterogeneity-aware Federated Learning at Scale" accepted by TMC.
• June 14, 2022. Interested in software fairness? We will present our paper "MAAT: A Novel Ensemble Approach to Fixing Fairness and Performance Bugs for Machine Learning Software" at ESEC/FSE 2022.
• December 6, 2021. Can emojis predict dropouts of remote developers? Find out in our paper "Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub" accepted by PLOS ONE.
• September 13, 2021. I am excited to join University College London as a Research Fellow.
• June 11, 2021. I successfully defend my PhD thesis.