Xiaoyu Zhang

According to our database, Xiaoyu Zhang authored at least 30 papers between 2020 and 2026.

Collaborative distances:

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

2026

Weaponizing the Commons: A Taxonomy and Detection Framework of Abuse on GitHub.

Yuli Cheng, Xiaoyu Zhang, Jiongchi Yu, Shiqing Ma, Chao Shen, Yang Liu

CoRR, April, 2026

An Empirical Study of Bugs in Modern LLM Agent Frameworks.

Xinxue Zhu, Jiacong Wu, Xiaoyu Zhang, Tianlin Li, Yanzhou Mu, Juan Zhai, Chao Shen, Chunrong Fang, Yang Liu

CoRR, February, 2026

PTCBENCH: Benchmarking Contextual Stability of Personality Traits in LLM Systems.

Jiongchi Yu, Yuhan Ma, Xiaoyu Zhang, Junjie Wang, Qiang Hu, Chao Shen, Xiaofei Xie

CoRR, February, 2026

JailGuard: A Universal Detection Framework for Prompt-based Attacks on LLM Systems.

Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Ming Hu, Jie Zhang, Yang Liu, Shiqing Ma, Chao Shen

ACM Trans. Softw. Eng. Methodol., January, 2026

Small Symbols, Big Risks: Exploring Emoticon Semantic Confusion in Large Language Models.

Weipeng Jiang, Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Yang Liu

CoRR, January, 2026

Vul-CTG: A Multimodal Framework for Software Vulnerability Detection via Code Text and Graph Integration.

Shuai Liu, Yi Zheng, Hongda Chen, Qian Li, Xinlei He, Xiaoyu Zhang, Chenhao Lin, Chao Shen

IEEE Trans. Inf. Forensics Secur., 2026

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 (Volume 1: Long Papers), 2026

2025

AutoEmpirical: LLM-Based Automated Research for Empirical Software Fault Analysis.

Jiongchi Yu, Weipeng Jiang, Xiaoyu Zhang, Qiang Hu, Xiaofei Xie, Chao Shen

CoRR, October, 2025

Rethinking Technology Stack Selection with AI Coding Proficiency.

Xiaoyu Zhang, Weipeng Jiang, Juan Zhai, Shiqing Ma, Qingshuang Bao, Chenhao Lin, Chao Shen, Tianlin Li, Yang Liu

CoRR, September, 2025

Deep Learning Library Testing: Definition, Methods and Challenges.

Xiaoyu Zhang, Weipeng Jiang, Chao Shen, Qi Li, Qian Wang, Chenhao Lin, Xiaohong Guan

ACM Comput. Surv., July, 2025

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

CoRR, June, 2025

DREAM: Debugging and Repairing AutoML Pipelines.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Xiaohong Guan, Chao Shen

ACM Trans. Softw. Eng. Methodol., 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

Exposing Product Bias in LLM Investment Recommendation.

Yuhan Zhi, Xiaoyu Zhang, Longtian Wang, Shumin Jiang, Shiqing Ma, Xiaohong Guan, Chao Shen

CoRR, March, 2025

Unveiling Provider Bias in Large Language Models for Code Generation.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Qingshuang Bao, Weipeng Jiang, Chao Shen, Yang Liu

CoRR, January, 2025

An Automated Monitoring and Repairing System for DNN Training.

Xiaoyu Zhang, Chao Shen, Shiqing Ma, Juan Zhai, Chenhao Lin

IEEE Trans. Dependable Secur. Comput., 2025

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Qingshuang Bao, Weipeng Jiang, Qian Wang, Chao Shen, Yang Liu

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

2024

Seed Selection for Testing Deep Neural Networks.

Yuhan Zhi, Xiaofei Xie, Chao Shen, Jun Sun, Xiaoyu Zhang, Xiaohong Guan

ACM Trans. Softw. Eng. Methodol., January, 2024

COSTELLO: Contrastive Testing for Embedding-Based Large Language Model as a Service Embeddings.

Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen

Proc. ACM Softw. Eng., 2024

Speculative Coreset Selection for Task-Specific Fine-tuning.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu

CoRR, 2024

CITADEL: Context Similarity Based Deep Learning Framework Bug Finding.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Shiwei Wang, Chao Shen

CoRR, 2024

From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions.

Weipeng Jiang, Xuanqi Gao, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen

CoRR, 2024

A Survey of Deep Learning Library Testing Methods.

Xiaoyu Zhang, Weipeng Jiang, Chao Shen, Qi Li, Qian Wang, Chenhao Lin, Xiaohong Guan

CoRR, 2024

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One.

Tianlin Li, Xiaoyu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu

CoRR, 2024

DREAM: Debugging and Repairing AutoML Pipelines.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen

CoRR, 2024

Efficient DNN-Powered Software with Fair Sparse Models.

Xuanqi Gao, Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen

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

2023

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection.

Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen

CoRR, 2023

2021

AUTOTRAINER: An Automatic DNN Training Problem Detection and Repair System.

Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Audee: Automated Testing for Deep Learning Frameworks.

Qianyu Guo, Xiaofei Xie, Yi Li, Xiaoyu Zhang, Yang Liu, Xiaohong Li, Chao Shen

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