Ce Ju - RankMe

29 papers A* 3C 1Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Session Decoding of Neural Spiking Data via Task-Conditioned Latent Alignment. CoRR Canyang Zhao, Bolin Peng, J. Patrick Mayo, Ce Ju, Bing Liu
2026	J	`jnl`	SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization. CoRR Bruno Aristimunha, Ce Ju, Antoine Collas, Florent Bouchard, Ammar Mian, Bertrand Thirion, Sylvain Chevallier, Reinmar J. Kobler
2025	J	`jnl`	Deep optimal transport for domain adaptation on SPD manifolds. Artif. Intell. Ce Ju, Cuntai Guan
2025	J	`jnl`	Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry. CoRR Antoine Collas, Ce Ju, Nicolas Salvy, Bertrand Thirion
2025	J	`jnl`	SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges. CoRR Ce Ju, Reinmar J. Kobler, Antoine Collas, Motoaki Kawanabe, Cuntai Guan, Bertrand Thirion
2024	A*	`conf`	Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data. ICLR Ce Ju, Reinmar J. Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe
2024	J	`jnl`	Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time-Frequency Analysis. IEEE Trans. Neural Networks Learn. Syst. Ce Ju, Cuntai Guan
2023	—	`conf`	Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance. EMBC Ce Ju, Reinmar Josef Kobler, Cuntai Guan
2023	J	`jnl`	Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification. IEEE Trans. Neural Networks Learn. Syst. Ce Ju, Cuntai Guan
2022	J	`jnl`	Deep Optimal Transport on SPD Manifolds for Domain Adaptation. CoRR Ce Ju, Cuntai Guan
2022	J	`jnl`	Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis. CoRR Ce Ju, Cuntai Guan
2022	J	`jnl`	Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification. CoRR Ce Ju, Cuntai Guan
2021	J	`jnl`	Ternary Hashing. CoRR Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang
2020	A*	`conf`	Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. IJCAI Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan
2020	—	`conf`	Federated Transfer Learning for EEG Signal Classification. EMBC Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
2020	J	`jnl`	Federated Transfer Learning for EEG Signal Classification. CoRR Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
2020	J	`jnl`	Geometric Foundations of Data Reduction. CoRR Ce Ju
2020	C	`conf`	Interaction-aware Kalman Neural Networks for Trajectory Prediction. IV Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Dong Eui Chang
2020	J	`jnl`	Privacy Threats Against Federated Matrix Factorization. CoRR Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang
2020	J	`jnl`	Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention. CoRR 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
2020	J	`jnl`	Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. CoRR Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang
2020	—	`ch.`	Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. Federated Learning Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang
2020	J	`jnl`	Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. CoRR Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang
2019	A*	`conf`	Effective and Efficient Sports Play Retrieval with Deep Representation Learning. KDD Zheng Wang, Cheng Long, Gao Cong, Ce Ju
2019	J	`jnl`	HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. CoRR Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang
2019	J	`jnl`	Interaction-aware Kalman Neural Networks for Trajectory Prediction. CoRR Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Dong Eui Chang
2019	—	`conf`	Privacy-preserving Heterogeneous Federated Transfer Learning. IEEE BigData Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang
2019	J	`jnl`	Stochastic Inverse Reinforcement Learning. CoRR Ce Ju, Dong Eui Chang
2018	J	`jnl`	Representation Learning for Spatial Graphs. CoRR Zheng Wang, Ce Ju, Gao Cong, Cheng Long