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Node-oriented Spectral Filtering for Graph Neural Networks


Dec 07, 2022
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Youru Li, Yao Zhao

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Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation


Nov 30, 2022
Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu

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HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction


Nov 15, 2022
Youru Li, Zhenfeng Zhu, Xiaobo Guo, Shaoshuai Li, Yuchen Yang, Yao Zhao

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* 12 pages, 10 figures 

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In progress


Sep 21, 2022
Zongyu Li, Zhenfeng Zhu, Zhenyu Guo

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* Technical report 

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Multi-modal Graph Learning for Disease Prediction


Mar 11, 2022
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yuchen Yang, Yao Zhao

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* Published by IEEE TMI 

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CETransformer: Casual Effect Estimation via Transformer Based Representation Learning


Jul 19, 2021
Zhenyu Guo, Shuai Zheng, Zhizhe Liu, Kun Yan, Zhenfeng Zhu

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Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation


Mar 15, 2021
Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao

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* 12 pages, 10 figures, submitted to JBHI 

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Adversarial Graph Disentanglement


Mar 12, 2021
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Shuiwang Ji, Yao Zhao

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* In process 

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Taking Modality-free Human Identification as Zero-shot Learning


Oct 02, 2020
Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng

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* 12 pages, 8 figures 

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