Chengran Yang - RankMe

37 papers A* 3A 4Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation. CoRR Chengran Yang, Zichao Wei, Heminghao Deng, Jinfeng Jiang, Zhensu Sun, Ting Zhang, Tianyi Wu, Ming Wen, David Lo
2026	J	`jnl`	Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection. CoRR 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
2026	J	`jnl`	Boosting LLMs for Mutation Generation. CoRR Bo Wang, Ming Deng, Mingda Chen, Chengran Yang, Youfang Lin, Mark Harman, Mike Papadakis, Jie M. Zhang
2026	J	`jnl`	Compiling Code LLMs into Lightweight Executables. CoRR Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, David Lo
2026	J	`jnl`	PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing. CoRR Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2026	J	`jnl`	Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model. CoRR Tianyi Wu, Mingzhe Du, Yue Liu, Chengran Yang, Terry Yue Zhuo, Jiaheng Zhang, See-Kiong Ng
2025	A	`conf`	APIDocBooster: An Extract-Then-Abstract Framework for Augmenting API Documentation. ICSME Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
2025	J	`jnl`	Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection. CoRR 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
2025	J	`jnl`	Bridging Developer Instructions and Code Completion Through Instruction-Aware Fill-in-the-Middle Paradigm. CoRR Zhensu Sun, Chengran Yang, Chao Peng, Pengfei Gao, Xiaoning Du, Li Li, David Lo
2025	J	`jnl`	Curiosity-Driven Testing for Sequential Decision-Making Process. CoRR Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2025	J	`jnl`	Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports. CoRR Bo Wang, Pengyang Wang, Chong Chen, Qi Sun, Jieke Shi, Chengran Yang, Ming Deng, Youfang Lin, Zhou Yang, David Lo
2025	J	`jnl`	Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? CoRR 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
2025	J	`jnl`	PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models. Empir. Softw. Eng. Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo
2025	J	`jnl`	R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation. CoRR 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
2025	J	`jnl`	SecureAgentBench: Benchmarking Secure Code Generation under Realistic Vulnerability Scenarios. CoRR 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
2025	J	`jnl`	Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework. CoRR Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning. CoRR Chengran Yang, Zhensu Sun, Hong Jin Kang, Jieke Shi, David Lo
2025	A*	`conf`	Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand. ASE Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo
2025	J	`jnl`	Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand. CoRR Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo
2024	J	`jnl`	ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models. CoRR Chengran Yang, Hong Jin Kang, Jieke Shi, David Lo
2024	A*	`conf`	Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2024	J	`jnl`	PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo
2023	J	`jnl`	APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation. CoRR Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
2023	J	`jnl`	Multi-Granularity Detector for Vulnerability Fixes. CoRR 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
2023	J	`jnl`	Multi-Granularity Detector for Vulnerability Fixes. IEEE Trans. Software Eng. 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
2023	—	`conf`	TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. ICSE Companion Chengran Yang, Bowen Xu, Jiakun Liu, David Lo
2022	A*	`conf`	Answer Summarization for Technical Queries: Benchmark and New Approach. ASE Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	J	`jnl`	Answer Summarization for Technical Queries: Benchmark and New Approach. CoRR Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	A	`conf`	Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? SANER Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo
2022	J	`jnl`	Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? CoRR Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo
2022	A	`conf`	Efficient Search of Live-Coding Screencasts from Online Videos. SANER Chengran Yang, Ferdian Thung, David Lo
2022	J	`jnl`	Efficient Search of Live-Coding Screencasts from Online Videos. CoRR Chengran Yang, Ferdian Thung, David Lo
2022	J	`jnl`	Implementing quantum dimensionality reduction for non-Markovian stochastic simulation. CoRR Kang-Da Wu, Chengran Yang, Ren-Dong He, Mile Gu, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, Thomas J. Elliott
2022	J	`jnl`	PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
2022	A	`conf`	PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. ICPC Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
2022	J	`jnl`	Post2Vec: Learning Distributed Representations of Stack Overflow Posts. IEEE Trans. Software Eng. Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, David Lo
2019	J	`jnl`	Extreme dimensional compression with quantum modelling. CoRR Thomas J. Elliott, Chengran Yang, Felix C. Binder, Andrew J. P. Garner, Jayne Thompson, Mile Gu