Audee: Automated Testing for Deep Learning Frameworks. - Qianyu Guo; Xiaofei Xie; Yi Li 008; Xiaoyu Zhang 013; Yang Liu 003; Xiaohong Li 001; Chao Shen 001 (ASE, 2020)

AUTOTRAINER: An Automatic DNN Training Problem Detection and Repair System. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Chao Shen 001 (ICSE, 2021)

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection. - Xiaoyu Zhang 013; Cen Zhang; Tianlin Li; Yihao Huang 001; Xiaojun Jia; Xiaofei Xie; Yang Liu 003; Chao Shen 001 (CoRR, 2023)

Efficient DNN-Powered Software with Fair Sparse Models. - Xuanqi Gao; Weipeng Jiang; Juan Zhai; Shiqing Ma; Xiaoyu Zhang 013; Chao Shen 001 (ISSTA, 2024)

DREAM: Debugging and Repairing AutoML Pipelines. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Chao Shen 001 (CoRR, 2024)

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One. - Tianlin Li; Xiaoyu Zhang 013; Chao Du; Tianyu Pang; Qian Liu 012; Qing Guo 005; Chao Shen 001; Yang Liu 003 (CoRR, 2024)

A Survey of Deep Learning Library Testing Methods. - Xiaoyu Zhang 013; Weipeng Jiang; Chao Shen 001; Qi Li 002; Qian Wang 002; Chenhao Lin; Xiaohong Guan (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 013; Chao Shen 001 (CoRR, 2024)

CITADEL: Context Similarity Based Deep Learning Framework Bug Finding. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Shiwei Wang; Chao Shen 001 (CoRR, 2024)

Speculative Coreset Selection for Task-Specific Fine-tuning. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Chao Shen 001; Tianlin Li; Weipeng Jiang; Yang Liu 003 (CoRR, 2024)

COSTELLO: Contrastive Testing for Embedding-Based Large Language Model as a Service Embeddings. - Weipeng Jiang; Juan Zhai; Shiqing Ma; Xiaoyu Zhang 013; Chao Shen 001 (Proc. ACM Softw. Eng., 2024)

Seed Selection for Testing Deep Neural Networks. - Yuhan Zhi; Xiaofei Xie; Chao Shen 001; Jun Sun 001; Xiaoyu Zhang 013; Xiaohong Guan (ACM Trans. Softw. Eng. Methodol., 2024)

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Qingshuang Bao; Weipeng Jiang; Qian Wang 002; Chao Shen 001; Yang Liu 003 (ACL (1), 2025)

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Chao Shen 001; Tianlin Li; Weipeng Jiang; Yang Liu 003 (ICLR, 2025)

An Automated Monitoring and Repairing System for DNN Training. - Xiaoyu Zhang 013; Chao Shen 001; Shiqing Ma; Juan Zhai; Chenhao Lin (IEEE Trans. Dependable Secur. Comput., 2025)

Unveiling Provider Bias in Large Language Models for Code Generation. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Qingshuang Bao; Weipeng Jiang; Chao Shen 001; Yang Liu 003 (CoRR, 2025)

Exposing Product Bias in LLM Investment Recommendation. - Yuhan Zhi; Xiaoyu Zhang 013; Longtian Wang; Shumin Jiang; Shiqing Ma; Xiaohong Guan; Chao Shen 001 (CoRR, 2025)

Software Development Life Cycle Perspective: A Survey of Benchmarks for Code Large Language Models and Agents. - Kaixin Wang; Tianlin Li; Xiaoyu Zhang 013; Chong Wang 013; Weisong Sun; Yang Liu 003; Bin Shi (CoRR, 2025)

DREAM: Debugging and Repairing AutoML Pipelines. - Xiaoyu Zhang 013; Juan Zhai; Shiqing Ma; Xiaohong Guan; Chao Shen 001 (ACM Trans. Softw. Eng. Methodol., 2025)

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries. - Weipeng Jiang; Xiaoyu Zhang 013; Xiaofei Xie; Jiongchi Yu; Yuhan Zhi; Shiqing Ma; Chao Shen 001 (CoRR, 2025)

Deep Learning Library Testing: Definition, Methods and Challenges. - Xiaoyu Zhang 013; Weipeng Jiang; Chao Shen 001; Qi Li 002; Qian Wang 002; Chenhao Lin; Xiaohong Guan (ACM Comput. Surv., 2025)