Chengran Yang

According to our database, Chengran Yang authored at least 33 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TitanCA: Lessons from Orchestrating LLM Agents to Discover 100+ CVEs.

Ting Zhang, Yikun Li, Chengran Yang, Ratnadira Widyasari, Yue Liu, Ngoc Tan Bui, Thanh Phuc Nguyen, Yan Naing Tun, Ivana Clairine Irsan, Huu Hung Nguyen, Huihui Huang, Jinfeng Jiang, Lwin Khin Shar, Eng Lieh Ouh, David Lo, Hong Jin Kang, Yide Yin, Wen Bin Leow

CoRR, April, 2026

AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits.

Yunbo Lyu, Jieke Shi, Hong Jin Kang, Ratnadira Widyasari, Junda He, Yuqing Niu, Chengran Yang, Junkai Chen, Zhou Yang, Julia Lawall, David Lo

CoRR, April, 2026

TestDecision: Sequential Test Suite Generation via Greedy Optimization and Reinforcement Learning.

Guoqing Wang, Chengran Yang, Xiaoxuan Zhou, Zeyu Sun, Bo Wang, David Lo, Dan Hao

CoRR, April, 2026

Executing as You Generate: Hiding Execution Latency in LLM Code Generation.

Zhensu Sun, Zhihao Lin, Zhi Chen, Chengran Yang, Mingyi Zhou, Li Li, David Lo

CoRR, April, 2026

Compiling Code LLMs into Lightweight Executables.

Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, David Lo

CoRR, March, 2026

Boosting LLMs for Mutation Generation.

Bo Wang, Ming Deng, Mingda Chen, Chengran Yang, Youfang Lin, Mark Harman, Mike Papadakis, Jie M. Zhang

CoRR, March, 2026

Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model.

Tianyi Wu, Mingzhe Du, Yue Liu, Chengran Yang, Terry Yue Zhuo, Jiaheng Zhang, See-Kiong Ng

CoRR, February, 2026

Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection.

Yikun Li, Ting Zhang, Jieke Shi, Chengran Yang, Junda He, Xin Zhou, Jinfeng Jiang, Huihui Huang, Wen Bin Leow, Yide Yin, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, February, 2026

Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation.

Chengran Yang, Zichao Wei, Heminghao Deng, Jinfeng Jiang, Zhensu Sun, Ting Zhang, Tianyi Wu, Ming Wen, David Lo

CoRR, February, 2026

PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing.

Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, January, 2026

2025

Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework.

Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, October, 2025

Bridging Developer Instructions and Code Completion Through Instruction-Aware Fill-in-the-Middle Paradigm.

Zhensu Sun, Chengran Yang, Chao Peng, Pengfei Gao, Xiaoning Du, Li Li, David Lo

CoRR, September, 2025

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, David Lo

CoRR, September, 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, Martin Weyssow, Chengran Yang, Xin Zhou, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tang, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, July, 2025

Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports.

Bo Wang, Pengyang Wang, Chong Chen, Qi Sun, Jieke Shi, Chengran Yang, Ming Deng, Youfang Lin, Zhou Yang, David Lo

CoRR, July, 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

CoRR, April, 2025

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

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

CoRR, March, 2025

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection.

Ting Zhang, Chengran Yang, Yindu Su, Martin Weyssow, Huu Hung Nguyen, Tan Bui, Hong Jin Kang, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, March, 2025

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

Empir. Softw. Eng., February, 2025

Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand.

Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

APIDocBooster: An Extract-Then-Abstract Framework for Augmenting API Documentation.

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

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

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

CoRR, 2024

Curiosity-Driven Testing for Sequential Decision-Making Process.

Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

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, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo

IEEE Trans. Software Eng., August, 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, David Lo

CoRR, 2023

TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query.

Chengran Yang, Bowen Xu, Jiakun Liu, David Lo

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022

Post2Vec: Learning Distributed Representations of Stack Overflow Posts.

Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, David Lo

IEEE Trans. Software Eng., 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

Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?

Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

Efficient Search of Live-Coding Screencasts from Online Videos.

Chengran Yang, Ferdian Thung, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

Answer Summarization for Technical Queries: Benchmark and New Approach.

Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models.

Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2019

Extreme dimensional compression with quantum modelling.

Thomas J. Elliott, Chengran Yang, Felix C. Binder, Andrew J. P. Garner, Jayne Thompson, Mile Gu

CoRR, 2019