Mingxuan Xiao

According to our database, Mingxuan Xiao authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Automated robustness testing for LLM-based natural language processing software.

Mingxuan Xiao, Yan Xiao, Shunhui Ji, Hanbo Cai, Lei Xue, Pengcheng Zhang

Expert Syst. Appl., 2026

TIAFuzz: Transferable fuzzing via distillation for image-based deep learning systems.

Yunhe Li, Shunhui Ji, Hai Dong, Yan Xiao, Mingxuan Xiao, Pengcheng Zhang

Expert Syst. Appl., 2026

2025

BASFuzz: Towards Robustness Evaluation of LLM-based NLP Software via Automated Fuzz Testing.

Mingxuan Xiao, Yan Xiao, Shunhui Ji, Jiahe Tu, Pengcheng Zhang

CoRR, September, 2025

ABFS: Natural Robustness Testing for LLM-based NLP Software.

Mingxuan Xiao, Yan Xiao, Shunhui Ji, Yunhe Li, Lei Xue, Pengcheng Zhang

CoRR, March, 2025

Clean-label backdoor attack based on robust feature attenuation for speech recognition.

Hanbo Cai, Pengcheng Zhang, Yan Xiao, Shunhui Ji, Mingxuan Xiao, Letian Cheng

Expert Syst. Appl., 2025

2024

Automated Robustness Testing for LLM-based NLP Software.

Mingxuan Xiao, Yan Xiao, Shunhui Ji, Hanbo Cai, Lei Xue, Pengcheng Zhang

CoRR, 2024

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning.

Yufeng Li, Wenchao Zhao, Bo Dang, Xu Yan, Weimin Wang, Min Gao, Mingxuan Xiao

CoRR, 2024

Breast Cancer Image Classification Method Based on Deep Transfer Learning.

Weimin Wang, Min Gao, Mingxuan Xiao, Xu Yan, Yufeng Li

CoRR, 2024

RITFIS: Robust input testing framework for LLMs-based intelligent software.

Mingxuan Xiao, Yan Xiao, Hai Dong, Shunhui Ji, Pengcheng Zhang

CoRR, 2024

Survival Prediction Across Diverse Cancer Types Using Neural Networks.

Xu Yan, Weimin Wang, Mingxuan Xiao, Yufeng Li, Min Gao

Proceedings of the 2024 7th International Conference on Machine Vision and Applications, 2024

Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example.

Mingxuan Xiao, Yufeng Li, Xu Yan, Min Gao, Weimin Wang

Proceedings of the 2024 7th International Conference on Machine Vision and Applications, 2024

Gradient-Guided Test Case Generation for Image Classification Software.

Shunhui Ji, Yunhe Li, Hai Dong, Mingxuan Xiao, Pengcheng Zhang, Mengyuan Zhang

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

LEAP: Efficient and Automated Test Method for NLP Software.

Mingxuan Xiao, Yan Xiao, Hai Dong, Shunhui Ji, Pengcheng Zhang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets.

Yufeng Li, Xu Yan, Mingxuan Xiao, Weimin Wang, Fei Zhang

Proceedings of the 2023 13th International Conference on Communication and Network Security, 2023