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portfolio

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publications

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation

Martin Weyssow, Chengran Yang, Junkai Chen, Yikun Li, Huihui Huang, Ratnadira Widyasari, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo; Under Submission

PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models

Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo; Empirical Software Engineering

ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models

Chengran Yang, Hong Jin Kang, Jieke Shi, David Lo; TOSEM Major Revision

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection

Chengran Yang (co-first author), Ting Zhang, Yindu Su, Martin Weyssow, Hung Nguyen, Tan Bui, Hong Jin Kang, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo; Under Submission

Apidocbooster: An extract-then-abstract framework leveraging large language models for augmenting api documentation

Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo; ICSME 2025

Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning

Chengran Yang, Zhensu Sun, Hong Jin Kang, Jieke Shi, David Lo; ICSE 2026

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015