I’m Chengran Yang (杨诚然), a Researcher at IQuest, where I work on post-training coding agents for foundation models. I received my Ph.D. from Singapore Management University (SMU) in March 2026 under the supervision of Prof. David Lo (ACM & IEEE Fellow), and continued there as a Postdoctoral Researcher before joining IQuest. My research centers on LLM Post-Training (SFT / RL) for Code Intelligence and Software Security. I work on making Code LLMs not just generate code, but generate code that is correct, efficient, secure, and well-reasoned — bridging the gap between raw generative capability and production-grade software quality. Concretely, my work spans two threads:

I have published 30+ papers at top-tier SE venues (ICSE, ASE, FSE, TSE, TOSEM, etc.), including two ACM SIGSOFT Distinguished Paper Awards (ICSE 2026, as first author; ASE 2026). Prior to SMU, I received my B.Eng. from the University of Electronic Science and Technology of China (UESTC) and interned at the Institute of Computing Technology, Chinese Academy of Sciences, supervised by Prof. Jianfeng Zhan.

🔭 I’m currently exploring agentic post-training for code security and code testing — if these topics interest you too, feel free to reach out for collaboration!

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