Ce Ju

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Manifold Alignment

Covariance Matrices

Top Venues

Publications

Ce Ju, Reinmar J. Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data. ICLR (2024)
Ce Ju, Reinmar Josef Kobler, Cuntai Guan
Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance. EMBC (2023)
Ce Ju, Cuntai Guan
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Ce Ju, Cuntai Guan
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis. CoRR (2022)
Ce Ju, Cuntai Guan
Deep Optimal Transport on SPD Manifolds for Domain Adaptation. CoRR (2022)
Ce Ju, Cuntai Guan
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification. CoRR (2022)
Chang Liu, Lixin Fan, KamWoh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang
Ternary Hashing. CoRR (2021)
Lixin Fan, KamWoh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. IJCAI (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
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention. CoRR (2020)
Lixin Fan, KamWoh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. CoRR (2020)
Yilun Jin, Lixin Fan, KamWoh Ng, Ce Ju, Qiang Yang
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. CoRR (2020)
Ce Ju
Geometric Foundations of Data Reduction. CoRR (2020)
Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang
Privacy Threats Against Federated Matrix Factorization. CoRR (2020)
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
Federated Transfer Learning for EEG Signal Classification. EMBC (2020)
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
Federated Transfer Learning for EEG Signal Classification. CoRR (2020)
Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Dong Eui Chang
Interaction-aware Kalman Neural Networks for Trajectory Prediction. IV (2020)
Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. CoRR (2019)
Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang
Privacy-preserving Heterogeneous Federated Transfer Learning. IEEE BigData (2019)
Zheng Wang, Cheng Long, Gao Cong, Ce Ju
Effective and Efficient Sports Play Retrieval with Deep Representation Learning. KDD (2019)
Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Gao Cong, Dong Eui Chang
Interaction-aware Kalman Neural Networks for Trajectory Prediction. CoRR (2019)
Ce Ju, Dong Eui Chang
Stochastic Inverse Reinforcement Learning. CoRR (2019)
Zheng Wang, Ce Ju, Gao Cong, Cheng Long
Representation Learning for Spatial Graphs. CoRR (2018)