🤗 I am Junkai Chen (陈俊凯), a Ph.D. student at Singapore Management University, advised by 👨‍🏫 Prof. David Lo. I received my master’s degree at Zhejiang University, where I was very fortunate 💗 to be advised by Prof. ✨ Xing Hu and Prof. 🌟 Xin Xia.

So many exciting and interesting \(≧▽≦)/ things are happening in the era of AI (especially Large Language Models)!, where code seems to be a promising path from uninterpretable output to grounded actions. I am thrilled to be part of this time, and hope to make meaningful contributions to real world problems, with my research at the intersection of Software Engineering and Artificial Intelligence.

🛫 Reach out to me if you are interested!

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News

• [26/9/25] 😆 Check our lastest preprint for evaluating 🔐 secure vide coding of code agents! We surprisingly find that, given the historical context of vulnerability introduction, current code agents still fall into human failures, even inducing other security issue!

• 🤗 Feel free to check and contribute recent SE conference papers at SEConfPaperList 〰️

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Publications

• [Preprint] SecureAgentBench: Benchmarking Secure Code Generation under Realistic Vulnerability Scenarios
  Junkai Chen*, Huihui Huang*, Yunbo Lyu, Junwen An, Jieke Shi, Chengran Yang, Ting Zhang, Haoye Tian, Yikun Li, Zhenhao Li, Xin Zhou, Xing Hu, and David Lo.
  More

  TLDR: First secure coding benchmark for vibe coding.
  📄 PDF | 💻 Code: TBD
• [Preprint] R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation
  Martin Weyssow, Chengran Yang, Junkai Chen, Ratnadira Widyasari, Ting Zhang, Huihui Huang, Huu Hung Nguyen, Yan Naing Tun, Tan Bui, Yikun Li, Ang Han Wei, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, and David Lo.
  More

  TLDR: Reasoning for vulnerability detection.
  📄 PDF | 💻 Code
• [Preprint] Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks
  Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, and David Lo.
  More

  TLDR: Literature review on benchmarks of LLM4SE.
  📄 PDF | 💻 Code
• [TOSEM'25] NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations
  Junkai Chen*, Zhenhao Li*, Xing Hu, and Xin Xia.
  More

  TLDR: Test robustness of llms by perturbations.
  📄 PDF | 💻 Code
• [ISSTA'25] Understanding Practitioners’ Expectations on Clear Code Review Comments
  Junkai Chen*, Zhenhao Li*, Qiheng Mao, Xing Hu, Kui Liu, and Xin Xia.
  More

  TLDR: Investigate what constitutes clear code review comments.
  📄 PDF | 💻 Code
• [ICSE'25] Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
  Junkai Chen*, Zhiyuan Pan*, Xing Hu, Zhenhao Li, Ge Li, and Xin Xia.
  More

  TLDR: Check if LLMs can reason intermediate runtime information of code.
  📄 PDF | 💻 Code
• [ICSE'24] Code Search is All You Need? Improving Code Suggestions with Code Search
  Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, and David Lo.
  🏆 ACM SIGSOFT Distinguished Paper Award.
  More

  TLDR: Combine different code search methods with code suggestions.
  📄 PDF | 💻 Code

* denotes equal contribution.

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Awards

• ACM SIGSOFT Distinguished Paper Award., ACM SIGSOFT, 2024
• National Scholarship, Ministry of Education of P.R.C., 2024
• ACM SIGSOFT CAPS Travel Grant, 2025

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Services

Program Committee / Journal Reviewer

• 2026: IST, ICSE (Shadow PC), MSR (Junior PC), DL4C@NeurIPS, EASE (AI Models / Data Track)
• 2025: MSR (Junior PC), DL4C@ICLR, LTB@ICPE

Others

• External Reviewer: ICSE, FSE, ASE, TOSEM, MSR, FCS, JSS (Chinese), etc.
• Student Volunteer: Internetware 2023