Registered user since Thu 6 Jan 2022
Name:Jialun Cao
Bio:
Jialun CAO received her PhD from the Department of Computer Science and Engineering at HKUST, under the supervision of Prof. S.C. Cheung. Her research interests lie in the intersection of Software Engineering (SE) and Artificial Intelligence (AI), emphasizing SE4AI and AI4SE, and trustworthy AI. Currently, she is also exploring the large language model 4 SE (LLM4SE).
Country:China
Affiliation:Hong Kong University of Science and Technology
Personal website: https://bella-academic.netlify.app/
GitHub: https://github.com/ArabelaTso
Research interests:Deep Learning Testing, Robustness AI, SE4AI, Reliability of Software
Contributions
2024
ASE
- Session Chair of Code generation 3 (part of Research Papers)
- JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models
- Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation
- Session Chair of Testing 1 (part of Research Papers)
- MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
ASE 2024-profile
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