About Me
Currently, I am a third-year Ph.D. candidate under the supervision of Prof. Michael R. Lyu at the Computer Science and Engineering Department of The Chinese University of Hong Kong (CUHK). My research interest falls into intelligent software engineering, especially for using deep learning techniques to boost the performance of traditional static analysis methods while maintaining the most soundness.
I received my bachelor's degree (with honors) in computer science and technology in Special Class for the Gifted Young (SCGY) from the University of Science and Technology of China (USTC) in 2020.
【2022.08.04】Our empirical study on API recommendation has been accepted by TSE!
【2022.06.15】Our empirical study about prompt tuning in code intelligence has been accepted by FSE 2022!
【2021.12.23】 Our API benchmark is now open-sourced at Zenodo, and our empirical study on API recommendation is available at Arxiv!
【2021.12.03】 Our type inference paper has been accepted by ICSE 2022 and nominated for ACM SIGSOFT Distinguished Paper Award!
Recent Research
TSE 2022
TSE 2022 Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? Paper Information Paper Name: Revisiting, Benchmarking and Exploring…
ICSE22
ICSE 2022 Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python Paper Information Paper Name: Static Inference…
SANER2021
SANER 2021 An Empirical Study for Common Language Features Used in Python Projects Paper Information Paper Name: An Empirical Study for…