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Weipeng Jiang
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Deep Learning Library Testing: Definition, Methods and Challenges
X Zhang, W Jiang, C Shen, Q Li, Q Wang, C Lin, X Guan
ACM Computing Surveys 57 (7), 1-37, 2025
4*2025
An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer
W Jiang, Z Wang, J Zhai, S Ma, Z Zhao, C Shen
NAACL Findings, 2025
3*2025
COSTELLO: Contrastive Testing for Embedding-Based Large Language Model as a Service Embeddings
W Jiang, J Zhai, S Ma, X Zhang, C Shen
Proceedings of the ACM on Software Engineering 1 (FSE), 906 - 928, 2024
32024
Black-Box Fairness Testing with Shadow Models
W Jiang, C Shen, C Lin, J Wang, J Sun, X Gao
International Conference on Information and Communications Security, 467-484, 2023
22023
Unveiling Provider Bias in Large Language Models for Code Generation
X Zhang, J Zhai, S Ma, Q Bao, W Jiang, C Shen, Y Liu
arXiv preprint arXiv:2501.07849, 2025
12025
From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions
W Jiang, X Gao, J Zhai, S Ma, X Zhang, C Shen
arXiv preprint arXiv:2406.00602, 2024
12024
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal
W Jiang, J Zhai, S Ma, Z Lei, X Xie, Y Wang, C Shen
arXiv preprint arXiv:2502.18810, 2025
2025
Efficient DNN-Powered Software with Fair Sparse Models
X Gao, W Jiang, J Zhai, S Ma, X Zhang, C Shen
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024
2024
Fairness in machine learning: definition, testing, debugging, and application
X Gao, C Shen, W Jiang, C Lin, Q Li, Q Wang, Q Li, X Guan
Science China Information Sciences 67 (9), 191201, 2024
2024
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
X Zhang, J Zhai, S Ma, C Shen, T Li, W Jiang, Y Liu
The Thirteenth International Conference on Learning Representations, 0
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