Chao Ni
Scholar

Chao Ni

Google Scholar ID: ZTVm1RoAAAAJ
Zhejiang University
AI4SESoftware AnalyticsSoftware Maintenance
Citations & Impact
All-time
Citations
1,085
 
H-index
17
 
i10-index
22
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published extensively in top-tier software engineering venues (CCF-A): TSE, TOSEM, ICSE, FSE, ASE, ISSTA, etc.
  • Recent representative publications:
  • - TOSEM'25: 'Abundant Modalities Offer More Nutrients: Multi-Modal-Based Function-level Vulnerability Detection'
  • - ISSTA'25: 'More Effective JavaScript Breaking Change Detection via Dynamic Object Relation Graph'
  • - ICSE'25: 'What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation'
  • - TOSEM'24: 'Distinguishing LLM-generated from Human-written Code by Contrastive Learning'
  • - TSE'24: 'Enhancing Bug-Inducing Commit Identification: A Fine-Grained Semantic Analysis Approach'
  • - TSE'24: 'Multitask-based Evaluation of Open-Source LLM on Software Vulnerability'
  • Consistently publishing in premier conferences and journals since 2020
Background
  • Associate Professor and Distinguished Research Fellow at the School of Software Technology, Zhejiang University
  • Research focuses on mining and analyzing rich data in software repositories to improve developer and tester productivity
  • Employs structured and unstructured data analytics techniques including data mining, information retrieval, NLP, search-based algorithms, and program analysis
  • Research interests include:
  • - Software Testing: automatic unit test generation, fuzzing + X
  • - Software Analytics: automated defect prediction, localization, and repair
  • - Software Security: automated vulnerability detection, localization, and explanation
  • - Open Source: open-source software supply chain, developer analysis