Chengpeng Wang

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Post-Doctoral Research Associate, Purdue University

Email: wang6590@purdue.edu
             stephenw.wangcp@gmail.com

Address: Room 3154A, LWSN, 305 N. University Street, West Lafayette

[ CV ] [ Publications ] [ Awards ] [ Teaching ] [ Service ] [ Misc ]

Bio

Chengpeng Wang is a Post-Doctoral Researcher in Department of Computer Science at Purdue Univeristy, West Lafayette, working with Prof. Xiangyu Zhang. His research mainly focuses on the use of program analysis, especially static analysis, to improve software reliability and performance. He is also interested in the intersection of machine learning techniques, such as Large Language Models, and symbolic analysis techniques, with the aim of establishing Neuro-symbolic Program Analysis.

Chengpeng has published extensively at premium venues of software engineering (ICSE, FSE, ASE, ISSTA, TOSEM, TSE), programming languages (OOPSLA, ECOOP), and systems (ATC, ASPLOS). His research received awards including ACM SIGPLAN Distinguished Paper Award and ASPLOS Best Paper Award. He obtained his Ph.D. degree at Hong Kong University of Science and Technology (HKUST), supervised by Prof. Charles Zhang. During his Ph.D. study, he also enjoyed several industrial experiences in Sourcebrella, Ant Group, and Veridise. Before that, he received his master and bachelor degrees at Tsinghua University (THU).

News

  • news (Pinned) We are actively maintaining the paper list of CodeLLMPaper. Welcome to star, fork, and contribute.
  • news (11/2024) I was invited to give a talk on LLM-aided static analysis at Boston Computation Club. Here is the talk recording.
  • news (10/2024) I was invited to serve on the Program Committee of Forge 2025. Please consider submitting your paper!
  • news (09/2024) Our work LLMDFA was accepted by NeurIPS'24.
  • news (09/2024) Our work LLMSAN was accepted by Findings of EMNLP'24.
  • news (04/2024) Our work GiantSan received Best Paper Award at ASPLOS 2024. Congratulations to Hao!
  • news (12/2023) I passed my Ph.D. defense and officially obtained Ph.D. degree on the last day of 2023!

Research Directions

Selected Publications [Full List]

  • Complexity-Guided Container Replacement Synthesis
    Chengpeng Wang, Peisen Yao, Wensheng Tang, Qingkai Shi, and Charles Zhang

    The ACM SIGPLAN Conference on Objected Oriented Programming, Systems, Languages and Applications (OOPSLA), Nov, 2022.

    ACM SIGPLAN Distinguished Paper Award

Awards

ACM SIGARCH Best Paper Award, ASPLOS 2024

UGC Research Travel Grant, HKUST, 2022~2023

Ant Group Outstanding Collaboration Award, 2023

ACM SIGPLAN Distinguished Paper Award, OOPSLA 2022

ACM SIGPLAN PAC Award, 2022

Future Academician Scholarship (2016), Graduate School, THU

Scholarship for Academic Excellence (2013, 2014), THU

Teaching

CS 592: AI and Security, Purdue University, Fall 2024

COMP 3021: Java Programming, HKUST, Spring 2022 & Fall 2022 & Spring 2023

COMP 4631: Computer and Communication Security, HKUST, Fall 2021

COMP 3111/H: Software Engineering, HKUST, Fall 2020

COMP 2011: Programming with C++, HKUST, Spring 2020

Haskell: Functional Language Programming, THU, Spring 2019

Automaton and Formal Logic, THU, Fall 2018

Service

Program Committee Member

Forge'25, FSE'25, ISSTA'25, SPLASH'24 SRC, ASE'24 (industrial track), ISSRE'24, Forge'24

Journal Reviewer

IEEE Transactions on Software Engineering (TSE)

Artifact Evaluation Committee

OOPSLA'24, PLDI'23, FSE'22, ISSTA'22

Volunteer

Student Volunteer @ SPLASH 2022, Student Volunteer @ ISSTA 2019

Mentoring

Long-term mentor of SIGPLAN-M

Last modified: 2024.12.