Chengpeng Wang

Orcid: 0000-0003-0617-5322

Affiliations:
  • Purdue University, USA


According to our database1, Chengpeng Wang authored at least 30 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants.
CoRR, August, 2025

CORE: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks.
CoRR, July, 2025

An LLM Agent for Functional Bug Detection in Network Protocols.
CoRR, June, 2025

PR2: Peephole Raw Pointer Rewriting with LLMs for Translating C to Safer Rust.
CoRR, May, 2025

PackHunter: Recovering Missing Packages for C/C++ Projects.
IEEE Trans. Software Eng., January, 2025

RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing.
CoRR, January, 2025

Validating Network Protocol Parsers with Traceable RFC Document Interpretation.
Proc. ACM Softw. Eng., 2025

Understanding Industry Perspectives of Static Application Security Testing (SAST) Evaluation.
Proc. ACM Softw. Eng., 2025

Seal: Towards Diverse Specification Inference for Linux Interfaces from Security Patches.
Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024
Fast and Precise Static Null Exception Analysis With Synergistic Preprocessing.
IEEE Trans. Software Eng., November, 2024

Octopus: Scaling Value-Flow Analysis via Parallel Collection of Realizable Path Conditions.
ACM Trans. Softw. Eng. Methodol., March, 2024

DAInfer: Inferring API Aliasing Specifications from Library Documentation via Neurosymbolic Optimization.
Proc. ACM Softw. Eng., 2024

LLMSA: A Compositional Neuro-Symbolic Approach to Compilation-free and Customizable Static Analysis.
CoRR, 2024

REPOFUSE: Repository-Level Code Completion with Fused Dual Context.
CoRR, 2024

When Dataflow Analysis Meets Large Language Models.
CoRR, 2024

LLMDFA: Analyzing Dataflow in Code with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RepoGenix: Dual Context-Aided Repository-Level Code Completion with Language Models.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

SQLess: Dialect-Agnostic SQL Query Simplification.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

LibAlchemy: A Two-Layer Persistent Summary Design for Taming Third-Party Libraries in Static Bug-Finding Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Sanitizing Large Language Models in Bug Detection with Data-Flow.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SIRO: Empowering Version Compatibility in Intermediate Representations via Program Synthesis.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

GIANTSAN: Efficient Memory Sanitization with Segment Folding.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Anchor: Fast and Precise Value-flow Analysis for Containers via Memory Orientation.
ACM Trans. Softw. Eng. Methodol., May, 2023

Pinolo: Detecting Logical Bugs in Database Management Systems with Approximate Query Synthesis.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

DCLINK: Bridging Data Constraint Changes and Implementations in FinTech Systems.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Verifying Data Constraint Equivalence in FinTech Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Synthesizing Conjunctive Queries for Code Search.
Proceedings of the 37th European Conference on Object-Oriented Programming, 2023

2022
Complexity-guided container replacement synthesis.
Proc. ACM Program. Lang., 2022

Accelerating Build Dependency Error Detection via Virtual Build.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2020
Escaping dependency hell: finding build dependency errors with the unified dependency graph.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020


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