Weipeng Jiang 降伟鹏

I am a final-year Ph.D. student at the Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, advised by Prof. Chao Shen. I am also very fortunate to work closely with Prof. Shiqing Ma at University of Massachusetts Amherst. Previously, I was a visiting Ph.D. student at Singapore Management University (SMU), under the supervision of Prof. Xiaofei Xie.

My research interests encompass Intersection of Software Engineering and AI (AI4SE, SE4AI) and Trustworthy AI.

• Apr 2026One paper is accepted by ACL 2026 Main Conference as an Oral presentation.
• Nov 2025Two papers are accepted by AAAI 2026.
• Feb 2025Honored to serve on the PC for LLMSC 2025.
• Jan 2025Our paper about LLM Jailbreaking is accepted by NAACL Findings 2025.
• Dec 2024Invited to serve as a reviewer for ICML 2025.
• Aug 2024Invited to serve as a reviewer for ICLR 2025.
• Aug 2024Invited to serve on the Artifact Evaluation Program Committee for ICSE 2025.
• May 2024Invited to serve as a reviewer for NeurIPS 2024.
• Feb 2024Our paper about Embedding-Service Testing is accepted by FSE'24.

* indicates equal contribution.

2026

1. False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models
   Weipeng Jiang*, Xiaoyu Zhang*, Juan Zhai, Shiqing Ma, Chao Shen, Yang Liu
   Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics ACL 2026MainOral
   Paper
2. Towards Automatic Software Faults Analysis
   Jiongchi Yu*, Weipeng Jiang*, Xiaoyu Zhang, Qiang Hu, Xiaofei Xie, Chao Shen
   The 48th International Conference on Software Engineering ICSE 2026Poster
   Paper
3. From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning
   Weipeng Jiang, Juan Zhai, Shiqing Ma, Ziyan Lei, Xiaofei Xie, Yige Wang, Chao Shen
   The Fortieth AAAI Conference on Artificial Intelligence AAAI 2026
   Paper
4. MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation
   Yige Wang, Mingming Li, Li Wang, Kaichen Zhao, Wangming Li, Weipeng Jiang, Xueying Li
   The Fortieth AAAI Conference on Artificial Intelligence AAAI 2026
5. New frontiers in large code language model security: a review of emerging adversarial threats and countermeasures
   Y Yang, H Fan, C Lin, W Jiang, S Wang, Q Li, Z Zhao, C Zhang, X Guan
   Science China Information Sciences SCIS 2026

2025

1. The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
   Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Qingshuang Bao, Weipeng Jiang, Chao Shen, Yang Liu
   Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics ACL 2025Main
   Paper
2. An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer
   Weipeng Jiang, Zhenting Wang, Juan Zhai, Shiqing Ma, Zhengyu Zhao, Chao Shen
   Findings of the Association for Computational Linguistics NAACL 2025Findings
   Paper Code
3. STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
   Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu
   The 13th International Conference on Learning Representations ICLR 2025
   Paper Code
4. Deep Learning Library Testing: Definition, Methods and Challenges
   Xiaoyu Zhang, Weipeng Jiang, Chao Shen, Qi Li, Qian Wang, Chenhao Lin, Xiaohong Guan
   ACM Computing Surveys CSUR 2025
   Paper
5. The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries
   Weipeng Jiang, Xiaoyu Zhang, Xiaofei Xie, Jiongchi Yu, Yuhan Zhi, Shiqing Ma, Chao Shen
   Preprint arXiv 2025
   Paper

2024

1. Efficient DNN-Powered Software with Fair Sparse Models
   Xuanqi Gao, Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen
   The 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis ISSTA 2024
   Paper Code
2. COSTELLO: Contrastive Testing for Embedding-based Large Language Model as a Service Embeddings
   Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen
   ACM International Conference on the Foundations of Software Engineering FSE 2024
   Paper Code
3. Fairness in Machine Learning: Definition, Testing, Debugging and Application
   Xuanqi Gao, Chao Shen, Weipeng Jiang, Chenhao Lin, Qian Li, Qian Wang, Qi Li, Xiaohong Guan
   Science China Information Sciences, Volume 67 SCIS 2024
   Paper
4. From Effectiveness to Efficiency: Uncovering Linguistic Bias in Large Language Model-based Code Generation
   Weipeng Jiang, Xuanqi Gao, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Ziyan Lei, Chao Shen
   Preprint arXiv 2024
   Paper

2023

1. Black-Box Fairness Testing with Shadow Models
   Weipeng Jiang, Chao Shen, Chenhao Lin, Jingyi Wang, Jun Sun, Xuanqi Gao
   The 23rd International Conference on Information and Communications Security ICICS 2023
   Paper Code

• [2024] First-Class Scholarship for Ph.D. Candidates, Xi'an Jiaotong University.
• [2024] ACM SIGSOFT Travel Grants.
• [2021] Outstanding Graduates, Xi'an Jiaotong University.
• [2019] Lu-Shidi Scholarship (Top-5 students), Xi'an Jiaotong University.
• [2018, 2019] Silver Award in CCSP, China Computer Federation.
• [2018, 2019] Silver Award in ACM-ICPC Asia Regional.