Registered user since Wed 1 Nov 2017
I am the Director of the Software Engineering Application Technology Lab at Huawei, China. Prior to joining Huawei, I was an ARC DECRA Fellow and a lecturer (equivalent to U.S. assistant professor) at the Faculty of Information Technology, Monash University, Australia, from 2018 to 2021. I got my Ph.D degree in June 2014 from the College of Computer Science and Technology, Zhejiang University, China. I was very fortunate to work under the supervision of Prof. Xiaohu Yang and Prof. Jianling Sun. From July 2012 to January 2014, I was a visiting student of Prof. David Lo in Singapore Management University.
To help developers and testers improve their productivity, my current research focuses on data science for software engineering, i.e., mining and analyzing rich data in software repositories to uncover interesting and actionable information. I have employed and customized structured and unstructured data analytics techniques – including data mining, information retrieval, natural language processing, search-based algorithms, and program analysis – to transform passive software engineering data into automated tools and new insights.
Contributions
2023
Mining Software Repositories
ICSE
- Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence
- Chair in Demonstrations within the DEMO - Demonstrations-track
- Committee Member in Software Engineering in Practice within the SEIP - Software Engineering in Practice-track
- CoLeFunDa: Explainable Silent Vulnerability Fix Identification
- deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
- CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back
- Predictive Comment Updating with Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach
- Formal Research Demonstrations Co-Chairs in Organising Committee
- Correlating Automated and Human Evaluation of Code Documentation Generation Quality
- Committee Member in Software Engineering in Society within the SEIS - Software Engineering in Society-track
- Fine-grained Commit-level Vulnerability Type Prediction By CWE Tree Structure
- SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics
- RepresentThemAll: A Universal Learning Representation of Bug Reports
International Conference on Program Comprehension
International Conference on Technical Debt
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