Chen Yang

Chen Yang

PhD student in tju

Chen Yang

杨晨 | Chen Yang
Email: yangchenyc[at]tju[DOT]edu[DOT]cn
Address: Building #55, College of Intelligence and Computing, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin, 300350

Hi there!🎆

I am Chen Yang, a third-year PhD student under the supervision of Professor Junjie Chen. My research focuses on the intersection of AI and Software Engineering, with particular interests in coding agents and AI-driven software quality assurance (such as intelligent software testing and debugging).

Publication

# refers to equal contribution
  1. [ISSTA'26] Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation (CCF-A)
    Chen Yang, Junjie Chen
    In: The ACM SIGSOFT International Symposium on Software Testing and Analysis, Sat 3 - Fri 9 October, 2026, Oakland, California, United States
    🏆 ACM SIGSOFT Distinguished Paper Award
  2. [ICSE'26 Demo] WiseUT: An Intelligent Framework for Unit Test Generation
    Chen Yang, Ziqi Wang, Lin Yang, Dong Wang, Shutao Gao, Yanjie Jiang, Junjie Chen
    In: The IEEE/ACM International Conference on Software Engineering, 12 - 18 April, 2026, Rio de Janeiro, Brazil
  3. [ASE'25] Clarifying Semantics of In-Context Examples for Unit Test Generation (CCF-A)
    Chen Yang, Lin Yang, Ziqi Wang, Dong Wang, Jianyi Zhou, Junjie Chen
    In: The IEEE/ACM International Conference on Automated Software Engineering, Sun 16 - Thu 20 November, 2025, Seoul, South Korea
    🏆 ACM SIGSOFT Distinguished Paper Award
  4. [ASE'25] Reflective Unit Test Generation for Precise Type Error Detection with Large Language Models (CCF-A)
    Chen Yang, Ziqi Wang, Yanjie Jiang, Lin Yang, Yuteng Zheng, Jianyi Zhou, Junjie Chen
    In: The IEEE/ACM International Conference on Automated Software Engineering, Sun 16 - Thu 20 November, 2025, Seoul, South Korea
  5. [TOSEM'25] Advancing Code Coverage: Incorporating Program Analysis with Large Language Models (CCF-A)
    Chen Yang, Junjie Chen, Bin Lin, Ziqi Wang, Jianyi Zhou
    In: ACM Transactions on Software Engineering and Methodology (TOSEM)
    arxiv version: Enhancing llm-based test generation for hard-to-cover branches via program analysis
  6. [ASE'24] On the Evaluation of Large Language Models in Unit Test Generation (CCF-A)
    Lin Yang#, Chen Yang#, Shutao Gao, Weijing Wang, Bo Wang, Qihao Zhu, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, Junjie Chen
    In: The IEEE/ACM International Conference on Automated Software Engineering, 27 October - 1 November, 2024, Sacramento, California, USA
  7. [OOPSLA'24] Dependency-aware Code Naturalness (CCF-A)
    Chen Yang, Junjie Chen, Jiajun Jiang
    In: Proceedings of the ACM on Programming Languages. OOPSLA (2024), Oct 20 - 25, 2024, Pasadena, California, USA
  8. [ISSTA'23] Silent Compiler Bug De-duplication via Three-Dimensional Analysis (CCF-A)
    Chen Yang, Junjie Chen, Xingyu Fan, Jiajun Jiang, Jun Sun
    In: The ACM SIGSOFT International Symposium on Software Testing and Analysis, July 17 - 21, 2023, Seattle, USA
  9. [ESEC/FSE-SRC'21] Accelerating Redundancy-Based Program Repair via Code Representation Learning and Adaptive Patch Filtering (CCF-A)
    Chen Yang
    In: The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Student Research Competition track, August 23 - 28, 2021, Athens, Greece
    🏆 Student Research Competition Award (Gold in undergraduate category)
  10. [ISSTA'26] Context Matters: Improving the Practical Reliability of LLM-Based Unit Test Generation (CCF-A)
    Junjie Chen, Ziqi Wang, Lin Yang, Chen Yang, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, Dong Wang
    In: The ACM SIGSOFT International Symposium on Software Testing and Analysis, Sat 3 - Fri 9 October, 2026, Oakland, California, United States
  11. [FSE'26] Characterizing and Mitigating False-Positive Bug Reports in the Linux Kernel (CCF-A)
    Jiashuo Tian, Dong Wang, Chen Yang, Haichi Wang, Zan Wang, Junjie Chen
    In: The ACM International Conference on the Foundations of Software Engineering, Sun 5 - Thu 9 July, 2026, Montreal, Canada
  12. [FSE'25] De-duplicating Silent Compiler Bugs via Deep Semantic Representation (CCF-A)
    Junjie Chen, Xingyu Fan, Chen Yang, Shuang Liu, Jun Sun
    In: The ACM International Conference on the Foundations of Software Engineering, Mon 23 - Fri 27 June, 2025, Trondheim, Norway
  13. [IST'25] Robustness Evaluation of Code Generation Systems via Concretizing Instructions (CCF-B)
    Ming Yan, Junjie Chen, Jie Zhang, Xuejie Cao, Chen Yang, Mark Harman
    In: Information and Software Technology, 2024

Academic Services

  • MSR'27 Program Committee (Mining Challenge)
  • ICSE'27 Program Committee
  • ICSE'26 Program Committee (Shadow PC)
  • MSR'25 Program Committee (Junior PC)
  • external-reviewer: ASE'23, ASE'24, ISSTA'24, ICSE'24, FSE'24, ICST'25, ISSTA'25, ICSME'25, ICSE'25

Experience

Huawei | Paas Lab

-

Code Generation with Program Constraints and Execution Feedback


  • Technical Innovation: Developed TELPA, a program-analysis-enhanced approach, and CLAST, a code quality optimization approach. TELPA combines object construction analysis, interprocedural branch dependency analysis, and coverage feedback to reach hard-to-cover branches in complex code. CLAST uses program slicing, semantic clarification, and behavior-preservation checks to improve the quality of in-context examples and the reliability of LLM-generated code.
  • Product Deployment and Impact: Integrated these techniques into Huawei CodeARTS, improving branch coverage by 16.96%. The technology also serves enterprise customers, contributing to over RMB 40 million in revenue.
  • Recognition: The related paper received the ASE 2025 ACM SIGSOFT Distinguished Paper Award. Related patents were recognized by Huawei as potentially high-value patents, and the collaboration was recognized as an Outstanding Industry–Academia Collaboration Fund Project and a CCF–Huawei Populus Euphratica Fund Benchmark Project.

ByteDance | Product R&D and Engineering Architecture - Dev Infra Team

-

Business Semantics-Driven Coding Agents


  • Technical Innovation: Proposed SeGa, a business semantics-driven framework that transforms product requirement documents (PRDs) into structured business knowledge. It combines method-intent retrieval, constraint-aware scenario derivation, and compilation and execution feedback to build an agent workflow spanning requirements understanding, test generation, and validation.
  • Product Deployment and Impact: Applied SeGa to ByteDance's internal BitsUT, improving business logic bug detection by 30%+ over the original tool. It uncovered 16 previously unknown business logic bugs across 6 production repositories, all of which were fixed by developers.
  • Recognition: The related paper received the ISSTA 2026 ACM SIGSOFT Distinguished Paper Award.

ByteDance | Product R&D and Engineering Architecture - AI Dev Quality Team

- Present

Transferable Skill Learning and Self-Evolution for Coding Agents


  • Technical Innovation: Proposed GSE, a global skill evolution framework that distills task execution experience into transferable Skills through execution trace diagnosis, a skill relationship graph, clustering-based induction, and replay validation. The framework mitigates skill conflicts, local overfitting, and capability degradation.
  • Product Deployment: Applied GSE to ByteDance's internal FluxCR, enabling coding agents to automatically extract, validate, and reuse skills from code review and defect analysis tasks, continuously improving reasoning and execution capabilities in business scenarios.
  • Impact: In FluxCR's false-positive filtering evaluation, the F1 score increased from 0.44 to 0.71 compared with the manually authored Skills baseline, a relative improvement of 61.4%. The related paper is under review at a CCF-A conference.

Education

  • 09/2024~now: Tianjin University, PhD student of Software Engineering
  • 09/2022~06/2024: Tianjin University, Master of Software Engineering
  • 09/2018~06/2022: Tianjin University, Bachelor of Computer Science and Technology

Honers & Awards

  • 2026: 🏆 ACM SIGSOFT Distinguished Paper Award (ISSTA 26)
  • 2025: 🏆 ACM SIGSOFT Distinguished Paper Award (ASE 25)
  • 2025: 🏆 ICSE Distinguished Reviewer Award
  • 2025: Young Science and Technology Scientists Sponsorship Program by CAST - Doctoral Student Special Plan （入选中国科协青年科技人才培育工程博士生专项计划）
  • 2025: National Scholarship
  • 2024: First-Class University Scholarship
  • 2024: Outstanding Graduate of Tianjin University (Master degree)
  • 2023: Third prize in Prototype System competition of China Software Conference
  • 2023: National Scholarship
  • 2022: Outstanding Graduate of Tianjin University (Bachelor degree)
  • 2022: 🏆 3rd award at ACM's Student Research Competition Grand Finals (undergraduate category)
  • 2021: 🏆 Gold award at ESEC/FSE 2021 Student Research Competition (undergraduate category)
  • 2021: National Scholarship

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