Extreme dimensional compression with quantum modelling. - Thomas J. Elliott; Chengran Yang; Felix C. Binder; Andrew J. P. Garner; Jayne Thompson; Mile Gu (CoRR, 2019)

PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. - Junda He; Bowen Xu; Zhou Yang 003; DongGyun Han; Chengran Yang; David Lo 001 (ICPC, 2022)

Answer Summarization for Technical Queries: Benchmark and New Approach. - Chengran Yang; Bowen Xu; Ferdian Thung; Yucen Shi; Ting Zhang 011; Zhou Yang 003; Xin Zhou 014; Jieke Shi; Junda He; DongGyun Han; David Lo 001 (ASE, 2022)

Efficient Search of Live-Coding Screencasts from Online Videos. - Chengran Yang; Ferdian Thung; David Lo 001 (SANER, 2022)

Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? - Chengran Yang; Bowen Xu; Junaed Younus Khan; Gias Uddin 001; DongGyun Han; Zhou Yang 003; David Lo 001 (SANER, 2022)

Implementing quantum dimensionality reduction for non-Markovian stochastic simulation. - Kang-Da Wu; Chengran Yang; Ren-Dong He; Mile Gu; Guo-Yong Xiang; Chuan-Feng Li; Guang-Can Guo; Thomas J. Elliott (CoRR, 2022)

Post2Vec: Learning Distributed Representations of Stack Overflow Posts. - Bowen Xu; Thong Hoang; Abhishek Sharma 002; Chengran Yang; Xin Xia 001; David Lo 001 (IEEE Trans. Software Eng., 2022)

TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. - Chengran Yang; Bowen Xu; Jiakun Liu; David Lo 001 (ICSE Companion, 2023)

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 005; David Lo 001 (CoRR, 2023)

Multi-Granularity Detector for Vulnerability Fixes. - Truong Giang Nguyen; Thanh Le-Cong; Hong Jin Kang; Ratnadira Widyasari; Chengran Yang; Zhipeng Zhao; Bowen Xu; Jiayuan Zhou; Xin Xia 001; Ahmed E. Hassan; Xuan-Bach Dinh Le 001; David Lo 001 (IEEE Trans. Software Eng., 2023)

Curiosity-Driven Testing for Sequential Decision-Making Process. - Junda He; Zhou Yang 003; Jieke Shi; Chengran Yang; Kisub Kim; Bowen Xu; Xin Zhou 014; David Lo 001 (ICSE, 2024)

ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models. - Chengran Yang; Hong Jin Kang; Jieke Shi; David Lo 001 (CoRR, 2024)

PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models. - Junda He; Bowen Xu; Zhou Yang 003; DongGyun Han; Chengran Yang; Jiakun Liu; Zhipeng Zhao; David Lo 001 (Empir. Softw. Eng., 2025)

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection. - Ting Zhang 011; Chengran Yang; Yindu Su; Martin Weyssow; Huu Hung Nguyen; Tan Bui; Hong Jin Kang; Yikun Li; Eng Lieh Ouh; Lwin Khin Shar; David Lo 001 (CoRR, 2025)

Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning. - Chengran Yang; Zhensu Sun; Hong Jin Kang; Jieke Shi; David Lo 001 (CoRR, 2025)

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 001 (CoRR, 2025)

Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports. - Bo Wang 050; Pengyang Wang; Chong Chen; Qi Sun; Jieke Shi; Chengran Yang; Ming Deng; Youfang Lin; Zhou Yang 003; David Lo 001 (CoRR, 2025)

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? - Yikun Li; Ngoc Tan Bui; Ting Zhang 011; Martin Weyssow; Chengran Yang; Xin Zhou 014; Jinfeng Jiang; Junkai Chen; Huihui Huang; Huu Hung Nguyen; Chiok Yew Ho; Jie Tang 001; et al. (CoRR, 2025)