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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 5, 2022
Explainability in Graph Neural Networks: A Taxonomic SurveyHao Yuan, Haiyang Yu, Shurui Gui, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 26, 2023
FlowX: Towards Explainable Graph Neural Networks via Message FlowsShurui Gui, Hao Yuan, Jie Wang, et al.
Arxiv|March 4, 2025
Learning to Discover Regulatory Elements for Gene Expression PredictionXingyu Su, Haiyang Yu, Degui Zhi, et al.
IEEE Transactions on Medical Imaging|January 28, 2020
Global Pixel Transformers for Virtual Staining of Microscopy ImagesYi Liu, Hao Yuan, Zhengyang Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 23, 2019
Pixel Transposed Convolutional NetworksHongyang Gao, Hao Yuan, Zhengyang Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 6, 2020
Interpreting Image Classifiers by Generating Discrete MasksHao Yuan, Lei Cai, Xia Hu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 18, 2022
Towards Improved and Interpretable Deep Metric Learning via Attentive GroupingXinyi Xu, Zhengyang Wang, Cheng Deng, et al.
Bioinformatics (Oxford, England)|November 7, 2018
Computational modeling of cellular structures using conditional deep generative networksHao Yuan, Lei Cai, Zhengyang Wang, et al.
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