Bo Lin

According to our database, Bo Lin authored at least 32 papers between 2020 and 2025.

Collaborative distances:

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

2025

Keep It Simple: Self-Adaptive Code Graph Simplification for Accurate Vulnerability Detection.

Xin Peng, Shangwen Wang, Yihao Qin, Bo Lin, Liqian Chen, Jieren Cheng, Xiaoguang Mao

IEEE Trans. Software Eng., October, 2025

Large Language Models-Aided Program Debloating.

Bo Lin, Shangwen Wang, Yihao Qin, Liqian Chen, Xiaoguang Mao

IEEE Trans. Software Eng., September, 2025

Divide-and-Conquer: Automating Code Revisions via Localization-and-Revision.

Shangwen Wang, Bo Lin, Liqian Chen, Xiaoguang Mao

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

Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts.

Sheng Ouyang, Yihao Qin, Bo Lin, Liqian Chen, Xiaoguang Mao, Shangwen Wang

CoRR, March, 2025

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation.

Bo Lin, Shangwen Wang, Liqian Chen, Xiaoguang Mao

CoRR, February, 2025

SCRIPT: A Scalable Continual Reinforcement Learning Framework for Autonomous Penetration Testing.

Shicheng Zhou, Jingju Liu, Yuliang Lu, Jiahai Yang, Yue Zhang, Bo Lin, Xiaofeng Zhong, Shulong Hu

Expert Syst. Appl., 2025

GTE: learning code AST representation efficiently and effectively.

Yihao Qin, Shangwen Wang, Bo Lin, Kang Yang, Xiaoguang Mao

Sci. China Inf. Sci., 2025

Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks.

Kang Yang, Xinjun Mao, Shangwen Wang, Yanlin Wang, Tanghaoran Zhang, Bo Lin, Yihao Qin, Zhang Zhang, Yao Lu, Kamal Al-Sabahi

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection.

Bo Lin, Shangwen Wang, Yihao Qin, Liqian Chen, Xiaoguang Mao

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

Fusing Code Searchers.

Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao

IEEE Trans. Software Eng., July, 2024

Keep It Simple: Towards Accurate Vulnerability Detection for Large Code Graphs.

Xin Peng, Shangwen Wang, Yihao Qin, Bo Lin, Liqian Chen, Xiaoguang Mao

CoRR, 2024

There are More Fish in the Sea: Automated Vulnerability Repair via Binary Templates.

Bo Lin, Shangwen Wang, Liqian Chen, Xiaoguang Mao

CoRR, 2024

Fault Localization from the Semantic Code Search Perspective.

Yihao Qin, Shangwen Wang, Yan Lei, Zhuo Zhang, Bo Lin, Xin Peng, Liqian Chen, Xiaoguang Mao

CoRR, 2024

One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair.

Bo Lin, Shangwen Wang, Ming Wen, Liqian Chen, Xiaoguang Mao

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

MatsVD: Boosting Statement-Level Vulnerability Detection via Dependency-Based Attention.

Cheng Weng, Yihao Qin, Bo Lin, Pei Liu, Liqian Chen

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

T-RAP: A Template-guided Retrieval-Augmented Vulnerability Patch Generation Approach.

Pei Liu, Bo Lin, Yihao Qin, Cheng Weng, Liqian Chen

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

An Empirical Study of Cross-Project Pull Request Recommendation in GitHub.

Wenyu Xu, Yao Lu, Xunhui Zhang, Tanghaoran Zhang, Bo Lin, Xinjun Mao

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023

Pre-implementation Method Name Prediction for Object-oriented Programming.

Shangwen Wang, Ming Wen, Bo Lin, Yepang Liu, Tegawendé F. Bissyandé, Xiaoguang Mao

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

Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network.

Shangwen Wang, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Yan Lei, Xiaoguang Mao

Proc. ACM Program. Lang., October, 2023

Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach.

Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao

IEEE Trans. Software Eng., April, 2023

Enhancing Code Intelligence Tasks with ChatGPT.

Kang Yang, Xinjun Mao, Shangwen Wang, Tanghaoran Zhang, Bo Lin, Yanlin Wang, Yihao Qin, Zhang Zhang, Xiaoguang Mao

CoRR, 2023

Natural Language to Code: How Far Are We?

Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao

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

CCT5: A Code-Change-Oriented Pre-trained Model.

Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao

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

2022

Context-Aware Code Change Embedding for Better Patch Correctness Assessment.

Bo Lin, Shangwen Wang, Ming Wen, Xiaoguang Mao

ACM Trans. Softw. Eng. Methodol., 2022

Recommending Base Image for Docker Containers based on Deep Configuration Comprehension.

Yinyuan Zhang, Yang Zhang, Xinjun Mao, Yiwen Wu, Bo Lin, Shangwen Wang

Proceedings of the IEEE International Conference on Software Analysis, 2022

Peeler: Learning to Effectively Predict Flakiness without Running Tests.

Yihao Qin, Shangwen Wang, Kui Liu, Bo Lin, Hongjun Wu, Li Li, Xiaoguang Mao, Tegawendé F. Bissyandé

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021

Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements.

Shangwen Wang, Kui Liu, Bo Lin, Li Li, Jacques Klein, Xiaoguang Mao, Tegawendé F. Bissyandé

CoRR, 2021

Lightweight global and local contexts guided method name recommendation with prior knowledge.

Shangwen Wang, Ming Wen, Bo Lin, Xiaoguang Mao

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Automated Comment Update: How Far are We?

Bo Lin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé

Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques.

Hongjun Wu, Zhuo Zhang, Shangwen Wang, Yan Lei, Bo Lin, Yihao Qin, Haoyu Zhang, Xiaoguang Mao

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

Automated Patch Correctness Assessment: How Far are We?

Shangwen Wang, Ming Wen, Bo Lin, Hongjun Wu, Yihao Qin, Deqing Zou, Xiaoguang Mao, Hai Jin

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Understanding the Non-Repairability Factors of Automated Program Repair Techniques.

Bo Lin, Shangwen Wang, Ming Wen, Zhang Zhang, Hongjun Wu, Yihao Qin, Xiaoguang Mao

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020