My name is Chaozheng Wang, a first year PhD student in ARISE Lab of The Chinese University of Hong Kong and my supervisor is Michael Lyu. I graduated from of Harbin Institute of Technology, Shenzhen and obtained my master and bachelor degree. My supervisor is Cuiyun Gao. My research interests lie in software engineering and artificial intelligence.

Publications

  • Prompt Tuning in Code Intelligence: An Experimental Evaluation
    • Chaozheng Wang, Yuanhang Yang, Cuiyun Gao*, Yun Peng, Hongyu Zhang, Michael R Lyu
    • IEEE TSE (CCF A)
  • REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.
    • Chaozheng Wang, Li Zongjie, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, and Michael Lyu
    • ASE 2023 Industry Challenge Track (CCF A) Distinguished Paper Award
  • Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks
    • Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao
    • ACM CCS 2023 (CCF A)
  • A Unified Framework for Mini-Game Testing: Experience on WeChat
    • Chaozheng Wang, Haochuan Lu, Cuiyun Gao, Zongjie Li, Ting Xiong, Yuetang Deng
    • ESEC/FSE 2023 Industry Track (CCF A)
  • Generative Type Inference for Python
    • Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R Lyu
    • ASE 2023 Technical Track (CCF A) Distinguished Paper Award 8/629
  • How Practitioners Expect Code Completion?
    • Chaozheng Wang, Junhao Hu, Cuiyun Gao*, Yu Jin, Tao Xie, Hailiang Huang, Zhenyu Lei, Yuetang Deng
    • ESEC/FSE 2023 Research Track (CCF A)
  • Predicting Compilation Resources for Adaptive Build in an Industrial Setting
    • Junhao, Hu, Chaozheng Wang, Hailiang Huang, Huang Luo, Yu Jin, Yuetang Deng, Tao Xie
    • ASE 2023 Industry Showcase Track (CCF A)
  • CCTEST: Testing and Repairing Code Completion Systems
    • Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao
    • ICSE 2023 Research Track (CCF A)
  • Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension
    • Shuzheng Gao, Cuiyun Gao*, Chaozheng Wang, Jun Sun, David Lo, Yue Yu
    • ICSE 2023 Research Track (CCF A)
  • Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models
    • Shuzheng Gao, Hongyu Zhang, Cuiyun Gao*, Chaozheng Wang
    • ICSE 2023 Research Track (CCF A)
  • Label-aware distribution calibration for long-tailed classification
    • Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao*, Wenjie Pei, Lujia Pan, Zenglin Xu
    • IEEE Transactions on Neural Networks and learning systems (CCF B, JCR Q1)
  • No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
    • Chaozheng Wang, Yuanhang Yang, Cuiyun Gao*, Yun Peng, Hongyu Zhang, Michael R Lyu
    • ESEC/FSE 2022 Research Track (CCF A)
  • Enriching query semantics for code search with reinforcement learning
    • Chaozheng Wang, Zhenhao Nong, Cuiyun Gao*, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu
    • Neural Networks (CCF B, JCR Q1)
  • CRaDLe: Deep code retrieval based on semantic dependency learning
    • Wenchao Gu, Zongjie Li, Cuiyun Gao*, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R Lyu
    • Neural Networks (CCF B, JCR Q1)

Internships

  • Tecent Co.ltd
    • 2021.12 ~ Presnt
    • WXG, Testing Development Intern
    • I am working for code completion models and image based automated GUI testing framework.
  • Huawei Co.ltd
    • 2021.03 ~ 2021.9
    • Noah Ark Lab, Technical Research Intern
    • I explored long-tailed classification tasks.
  • LiDAR 4d Co.ltd
    • 2020.07~2020.09
    • Computer Vision Intern
    • Working on object detection for industry scenarios.