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Geometric Foundations of Data Reduction

Aug 16, 2020
Ce Ju

* 79 pages, Suvery 

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Privacy Threats Against Federated Matrix Factorization

Jul 03, 2020
Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang

* 6 pages, 2 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 

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Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks

Jun 23, 2020
Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang

* under review, 36 pages (updated Eq. 3 and Fig. 8) 

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Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

Jun 15, 2020
Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin

* 4 pages, 3 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 

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Federated Transfer Learning for EEG Signal Classification

Apr 26, 2020
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan

* 6 pages, 2 figures, Accepted for IEEE Engineering in Medicine and Biology Society (EMBC) 2020 

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HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography

Sep 11, 2019
Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang

* 5 pages, 6 figures 

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Stochastic Inverse Reinforcement Learning

May 21, 2019
Ce Ju, Dong Eui Chang

* 8+1 pages, 5 figures 

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Socially Aware Kalman Neural Networks for Trajectory Prediction

Mar 01, 2019
Ce Ju, Zheng Wang, Xiaoyu Zhang

* Superceded by arXiv:1902.10928 

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Interaction-aware Kalman Neural Networks for Trajectory Prediction

Feb 28, 2019
Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Gao Cong, Dong Eui Chang


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Representation Learning for Spatial Graphs

Dec 22, 2018
Zheng Wang, Ce Ju, Gao Cong, Cheng Long

* 4 pages, 1 figure, conference 

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