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Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation

Sep 09, 2021
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin

* 11 pages, 6 figures, CIKM 2021 

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Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack

Jul 22, 2021
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wange

* 16 pages, 21 figures, Information Sciences - Journal - Elsevier 

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Socially-Aware Self-Supervised Tri-Training for Recommendation

Jun 15, 2021
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung

* 9 pages, accepted by KDD'21 

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BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions

Jan 29, 2021
Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang

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Skeleton-based Approaches based on Machine Vision: A Survey

Dec 23, 2020
Jie Li, Binglin Li, Min Gao

* 10 pages, 1 figures 

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MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG

Aug 17, 2020
Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen

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Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning

Apr 19, 2020
Min Gao, Yukun Guo, Tristan T. Hormel, Jiande Sun, Thomas Hwang, Yali Jia

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Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective

Mar 05, 2020
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong

* 20 pages, 11 figures, 5 tables, the journal of Information Sciences 

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