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2020 – today
- 2024
[c5]Shunhui Ji, Yunhe Li, Hai Dong, Mingxuan Xiao, Pengcheng Zhang, Mengyuan Zhang:
Gradient-Guided Test Case Generation for Image Classification Software. COMPSAC 2024: 1240-1249- [c4]Xu Yan
, Weimin Wang, Mingxuan Xiao, Yufeng Li, Min Gao:
Survival Prediction Across Diverse Cancer Types Using Neural Networks. ICMVA 2024: 134-138 - [c3]Mingxuan Xiao, Yufeng Li, Xu Yan, Min Gao, Weimin Wang:
Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example. ICMVA 2024: 145-149 - [i6]Mingxuan Xiao, Yan Xiao, Hai Dong, Shunhui Ji, Pengcheng Zhang:
RITFIS: Robust input testing framework for LLMs-based intelligent software. CoRR abs/2402.13518 (2024) - [i5]Mingxuan Xiao, Yufeng Li, Xu Yan, Min Gao, Weimin Wang:
Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example. CoRR abs/2404.08279 (2024) - [i4]Xu Yan, Weimin Wang, Mingxuan Xiao, Yufeng Li, Min Gao:
Survival Prediction Across Diverse Cancer Types Using Neural Networks. CoRR abs/2404.08713 (2024) - [i3]Weimin Wang, Min Gao, Mingxuan Xiao, Xu Yan, Yufeng Li:
Breast Cancer Image Classification Method Based on Deep Transfer Learning. CoRR abs/2404.09226 (2024) - [i2]Yufeng Li, Wenchao Zhao, Bo Dang, Xu Yan, Weimin Wang, Min Gao, Mingxuan Xiao:
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning. CoRR abs/2407.16715 (2024) - 2023
- [c2]Yufeng Li, Xu Yan, Mingxuan Xiao, Weimin Wang, Fei Zhang:
Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets. ICCNS 2023: 77-81 - [c1]Mingxuan Xiao, Yan Xiao, Hai Dong, Shunhui Ji, Pengcheng Zhang:
LEAP: Efficient and Automated Test Method for NLP Software. ASE 2023: 1136-1148 - [i1]Mingxuan Xiao, Yan Xiao, Hai Dong, Shunhui Ji, Pengcheng Zhang:
LEAP: Efficient and Automated Test Method for NLP Software. CoRR abs/2308.11284 (2023)
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