Chong Wang

According to our database, Chong Wang authored at least 44 papers between 2019 and 2025.

Collaborative distances:

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

2025

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.

Chong Wang, Jian Zhang, Yebo Feng, Tianlin Li, Weisong Sun, Yang Liu, Xin Peng

ACM Trans. Softw. Eng. Methodol., September, 2025

Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models.

Shiqian Zhao, Chong Wang, Yiming Li, Yihao Huang, Wenjie Qu, Siew-Kei Lam, Yi Xie, Kangjie Chen, Jie Zhang, Tianwei Zhang

CoRR, August, 2025

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback.

Guoliang Duan, Mingwei Liu, Yanlin Wang, Chong Wang, Xin Peng, Zibin Zheng

CoRR, July, 2025

VFArchē: A Dual-Mode Framework for Locating Vulnerable Functions in Open-Source Software.

Lyuye Zhang, Jian Zhang, Kaixuan Li, Chong Wang, Chengwei Liu, Jiahui Wu, Sen Chen, Yaowen Zheng, Yang Liu

CoRR, June, 2025

Minimizing False Positives in Static Bug Detection via LLM-Enhanced Path Feasibility Analysis.

Xueying Du, Kai Yu, Chong Wang, Yi Zou, Wentai Deng, Zuoyu Ou, Xin Peng, Lingming Zhang, Yiling Lou

CoRR, June, 2025

Towards Better Code Generation: Adaptive Decoding with Uncertainty Guidance.

Kaifeng He, Mingwei Liu, Chong Wang, Zike Li, Yanlin Wang, Xin Peng, Zibin Zheng

CoRR, June, 2025

Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence.

Junan Zhang, Kaifeng Huang, Yiheng Huang, Bihuan Chen, Ruisi Wang, Chong Wang, Xin Peng

ACM Trans. Softw. Eng. Methodol., May, 2025

Benchmarking and Enhancing LLM Agents in Localizing Linux Kernel Bugs.

Zhenhao Zhou, Zhuochen Huang, Yike He, Chong Wang, Jiajun Wang, Yijian Wu, Xin Peng, Yiling Lou

CoRR, May, 2025

Software Development Life Cycle Perspective: A Survey of Benchmarks for Code Large Language Models and Agents.

Kaixin Wang, Tianlin Li, Xiaoyu Zhang, Chong Wang, Weisong Sun, Yang Liu, Bin Shi

CoRR, May, 2025

A Vision for Auto Research with LLM Agents.

Chengwei Liu, Chong Wang, Jiayue Cao, Jingquan Ge, Kun Wang, Lvye Zhang, Ming-Ming Cheng, Penghai Zhao, Tianlin Li, Xiaojun Jia, Xiang Li, Xinfeng Li, Yang Liu, Yebo Feng, Yihao Huang, Yijia Xu, Yuqiang Sun, Zhenhong Zhou, Zhengzi Xu

CoRR, April, 2025

FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks.

Dekun Dai, Mingwei Liu, Anji Li, Jialun Cao, Yanlin Wang, Chong Wang, Xin Peng, Zibin Zheng

CoRR, April, 2025

RustEvo²: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation.

Linxi Liang, Jing Gong, Mingwei Liu, Chong Wang, Guangsheng Ou, Yanlin Wang, Xin Peng, Zibin Zheng

CoRR, March, 2025

LogiAgent: Automated Logical Testing for REST Systems with LLM-Based Multi-Agents.

Ke Zhang, Chenxi Zhang, Chong Wang, Chi Zhang, YaChen Wu, Zhenchang Xing, Yang Liu, Qingshan Li, Xin Peng

CoRR, March, 2025

Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Maintenance.

Xin Peng, Chong Wang, Mingwei Liu, Yiling Lou, Yijian Wu

CoRR, March, 2025

Promptware Engineering: Software Engineering for LLM Prompt Development.

Zhenpeng Chen, Chong Wang, Weisong Sun, Guang Yang, Xuanzhe Liu, Jie M. Zhang, Yang Liu

CoRR, March, 2025

LLM Based Input Space Partitioning Testing for Library APIs.

Jiageng Li, Zhen Dong, Chong Wang, Haozhen You, Cen Zhang, Yang Liu, Xin Peng

CoRR, January, 2025

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.

Ziyao Zhang, Chong Wang, Yanlin Wang, Ensheng Shi, Yuchi Ma, Wanjun Zhong, Jiachi Chen, Mingzhi Mao, Zibin Zheng

Proc. ACM Softw. Eng., 2025

Fixing Outside the Box: Uncovering Tactics for Open-Source Security Issue Management.

Lyuye Zhang, Jiahui Wu, Chengwei Liu, Kaixuan Li, Xiaoyu Sun, Lida Zhao, Chong Wang, Yang Liu

Proc. ACM Softw. Eng., 2025

Automated Soap Opera Testing Directed by LLMs and Scenario Knowledge: Feasibility, Challenges, and Road Ahead.

Yanqi Su, Zhenchang Xing, Chong Wang, Chunyang Chen, Xiwei Xu, Qinghua Lu, Liming Zhu

Proc. ACM Softw. Eng., 2025

Deep learning-based software engineering: progress, challenges, and opportunities.

Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang

Sci. China Inf. Sci., 2025

LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-Based Code Completion.

Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, Xin Peng

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness.

Weisong Sun, Yuchen Chen, Mengzhe Yuan, Chunrong Fang, Zhenpeng Chen, Chong Wang, Yang Liu, Baowen Xu, Zhenyu Chen

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Decoding Secret Memorization in Code LLMs Through Token-Level Characterization.

Yuqing Nie, Chong Wang, Kailong Wang, Guoai Xu, Guosheng Xu, Haoyu Wang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference.

Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.

Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhang, Yang Liu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE 2025 - NIER, Ottawa, ON, Canada, April 27, 2025

Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories.

Alperen Yildiz, Sin G. Teo, Yiling Lou, Yebo Feng, Chong Wang, Dinil Mon Divakaran

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization.

Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Yang Liu, Geguang Pu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.

Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhao, Yang Liu

CoRR, 2024

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.

Ziyao Zhang, Yanli Wang, Chong Wang, Jiachi Chen, Zibin Zheng

CoRR, 2024

How and Why LLMs Use Deprecated APIs in Code Completion? An Empirical Study.

Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, Xin Peng

CoRR, 2024

Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs.

Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu

CoRR, 2024

An Empirical Study of Automated Vulnerability Localization with Large Language Models.

Jian Zhang, Chong Wang, Anran Li, Weisong Sun, Cen Zhang, Wei Ma, Yang Liu

CoRR, 2024

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair.

Jian Zhang, Chong Wang, Anran Li, Wenhan Wang, Tianlin Li, Yang Liu

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023

XCoS: Explainable Code Search Based on Query Scoping and Knowledge Graph.

Chong Wang, Xin Peng, Zhenchang Xing, Yue Zhang, Mingwei Liu, Rong Luo, Xiujie Meng

ACM Trans. Softw. Eng. Methodol., November, 2023

Beyond Literal Meaning: Uncover and Explain Implicit Knowledge in Code Through Wikipedia-Based Concept Linking.

Chong Wang, Xin Peng, Zhenchang Xing, Xiujie Meng

IEEE Trans. Software Eng., 2023

A Prompt Learning Framework for Source Code Summarization.

Weisong Sun, Chunrong Fang, Yudu You, Yuchen Chen, Yi Liu, Chong Wang, Jian Zhang, Quanjun Zhang, Hanwei Qian, Wei Zhao, Yang Liu, Zhenyu Chen

CoRR, 2023

Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference.

Chong Wang, Jianan Liu, Xin Peng, Yang Liu, Yiling Lou

CoRR, 2023

Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence.

Junan Zhang, Kaifeng Huang, Bihuan Chen, Chong Wang, Zhenhao Tian, Xin Peng

CoRR, 2023

Mining Resource-Operation Knowledge to Support Resource Leak Detection.

Chong Wang, Yiling Lou, Xin Peng, Jianan Liu, Baihan Zou

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Generating Variable Explanations via Zero-shot Prompt Learning.

Chong Wang, Yiling Lou, Junwei Liu, Xin Peng

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

DeepAnna: Deep Learning based Java Annotation Recommendation and Misuse Detection.

Yi Liu, Yadong Yan, Chaofeng Sha, Xin Peng, Bihuan Chen, Chong Wang

Proceedings of the IEEE International Conference on Software Analysis, 2022

2021

Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph.

Yanqi Su, Zhenchang Xing, Xin Peng, Xin Xia, Chong Wang, Xiwei Xu, Liming Zhu

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

Learning based and Context Aware Non-Informative Comment Detection.

Mingwei Liu, Yanjun Yang, Xin Peng, Chong Wang, Chengyuan Zhao, Xin Wang, Shuangshuang Xing

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019

A learning-based approach for automatic construction of domain glossary from source code and documentation.

Chong Wang, Xin Peng, Mingwei Liu, Zhenchang Xing, Xuefang Bai, Bing Xie, Tuo Wang

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019