Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets. - Yufeng Li; Xu Yan; Mingxuan Xiao; Weimin Wang; Fei Zhang (ICCNS, 2023)

LEAP: Efficient and Automated Test Method for NLP Software. - Mingxuan Xiao; Yan Xiao 002; Hai Dong; Shunhui Ji; Pengcheng Zhang 001 (ASE, 2023)

Gradient-Guided Test Case Generation for Image Classification Software. - Shunhui Ji; Yunhe Li; Hai Dong; Mingxuan Xiao; Pengcheng Zhang 001; Mengyuan Zhang (COMPSAC, 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 (ICMVA, 2024)

Survival Prediction Across Diverse Cancer Types Using Neural Networks. - Xu Yan; Weimin Wang; Mingxuan Xiao; Yufeng Li; Min Gao (ICMVA, 2024)

RITFIS: Robust input testing framework for LLMs-based intelligent software. - Mingxuan Xiao; Yan Xiao 002; Hai Dong; Shunhui Ji; Pengcheng Zhang 001 (CoRR, 2024)

Breast Cancer Image Classification Method Based on Deep Transfer Learning. - Weimin Wang; Min Gao; Mingxuan Xiao; Xu Yan; Yufeng Li (CoRR, 2024)

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning. - Yufeng Li; Wenchao Zhao; Bo Dang 005; Xu Yan; Weimin Wang; Min Gao; Mingxuan Xiao (CoRR, 2024)

Automated Robustness Testing for LLM-based NLP Software. - Mingxuan Xiao; Yan Xiao 002; Shunhui Ji; Hanbo Cai; Lei Xue; Pengcheng Zhang 001 (CoRR, 2024)

Clean-label backdoor attack based on robust feature attenuation for speech recognition. - Hanbo Cai; Pengcheng Zhang 001; Yan Xiao 002; Shunhui Ji; Mingxuan Xiao; Letian Cheng (Expert Syst. Appl., 2025)

ABFS: Natural Robustness Testing for LLM-based NLP Software. - Mingxuan Xiao; Yan Xiao 002; Shunhui Ji; Yunhe Li; Lei Xue; Pengcheng Zhang 001 (CoRR, 2025)