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publications
ISPY:
Published in IJCAI 2022, 2022
MuiDial is an automated dialogue disentanglement method that can separate the mixed chat messages to independent dialogues in the OSS bug reports.
Recommended citation: MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning. IJCAI 2022 . 4164-4170. https://doi.org/10.24963/ijcai.2022/578
MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning
Published in IJCAI 2022, 2022
MuiDial is an automated dialogue disentanglement method that can separate the mixed chat messages to independent dialogues in the OSS bug reports.
Recommended citation: MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning. IJCAI 2022 . 4164-4170. https://doi.org/10.24963/ijcai.2022/578
SCPatcher: Mining Crowd Security Discussions to Enrich Secure Coding Practices
Published in ASE 2023, 2023
SCPatcher is an automated approach to mine secure/insecure coding practices in the Stack Overflow, which aims to warn the potential threat in the OSS.
Recommended citation: SCPatcher: Mining Crowd Security Discussions to Enrich Secure Coding Practices. ASE 2023 . 358-370. https://doi.org/10.1109/ASE56229.2023.00040
PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code
Published in ASE 2024, 2024
PatUntrack aims to generate the potential patch examples for issue reports with LLM, which may not track its code repos.
Recommended citation: Ziyou Jiang, Lin Shi, Guowei Yang, Qing Wang: PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code. ASE 2024 . 1-13. https://doi.org/10.1145/3691620.3694982
Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System
Published in ACL 2025, 2025
The AutoCMD approach for analyzing the information theft attack in LLM tool-learning systems, through the command injection.
Recommended citation: Ziyou Jiang, Mingyang Li, Guowei Yang, Junjie Wang, Yuekai Huang, Zhiyuan Chang, Qing Wang: Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System. CoRR abs/2502.11358. (2025). https://doi.org/10.48550/arXiv.2502.11358
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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