Παρακολούθηση
Ce Ju
Ce Ju
Inria
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα inria.fr
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Federated Transfer Learning for EEG Signal Classification
C Ju, D Gao, R Mane, B Tan, Y Liu, C Guan
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
1602020
Privacy-preserving heterogeneous federated transfer learning
D Gao, Y Liu, A Huang, C Ju, H Yu, Q Yang
2019 IEEE International Conference on Big Data, 2552-2559, 2019
1382019
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
D Gao, C Ju, X Wei, Y Liu, T Chen, Q Yang
NeurIPS'2019 Workshop on Federated Machine Learning for User Privacy and …, 2019
1262019
Deep polarized network for supervised learning of accurate binary hashing codes
L Fan, KW Ng, C Ju, T Zhang, CS Chan
IJCAI 20' Proceedings of the Twenty-Ninth International Joint Conference on …, 2020
1132020
Interaction-aware kalman neural networks for trajectory prediction
C Ju, Z Wang, C Long, X Zhang, G Cong, DE Chang
2020 IEEE Intelligent Vehicles Symposium (IV), Las Vegas, NV, USA, 2020, pp …, 2020
74*2020
Rethinking privacy preserving deep learning: How to evaluate and thwart privacy attacks
L Fan, KW Ng, C Ju, T Zhang, C Liu, CS Chan, Q Yang
Federated Learning: Privacy and Incentive, Springer, 32-50, 2020
672020
Tensor-cspnet: A novel geometric deep learning framework for motor imagery classification
C Ju, C Guan
IEEE Transactions on Neural Networks and Learning Systems 34, 10955-10969, 2022
622022
Effective and efficient sports play retrieval with deep representation learning
Z Wang, C Long, G Cong, C Ju
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
562019
Privacy-preserving technology to help millions of people: Federated prediction model for stroke prevention
C Ju, R Zhao, J Sun, X Wei, B Zhao, Y Liu, H Li, T Chen, X Zhang, D Gao, ...
IJCAI'20 Workshop on Federated Learning for Data Privacy and Confidentiality …, 2020
412020
Privacy Threats Against Federated Matrix Factorization
D Gao, B Tan, C Ju, VW Zheng, Q Yang
IJCAI'20 Workshop on Federated Learning for Data Privacy and Confidentiality …, 2020
222020
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time–Frequency Analysis
C Ju, C Guan
IEEE Transactions on Neural Networks and Learning Systems 35 (12), 17701-17715, 2023
172023
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
C Ju, C Guan
arXiv preprint arXiv:2201.05745, 2022
11*2022
Ternary hashing
C Liu, L Fan, KW Ng, Y Jin, C Ju, T Zhang, CS Chan, Q Yang
arXiv preprint arXiv:2103.09173, 2021
72021
Score-based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance
C Ju, RJ Kobler, C Guan
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
42023
Representation learning for spatial graphs
Z Wang, C Ju, G Cong, C Long
arXiv preprint arXiv:1812.06668, 2018
42018
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data
C Ju, RJ Kobler, L Tang, C Guan, M Kawanabe
The Twelfth International Conference on Learning Representations (ICLR 2024 …, 2024
3*2024
Stochastic Inverse Reinforcement Learning
C Ju
NeurIPS 20' Workshop, 2019
12019
Geometric Methods for Covariance-Based Neural Decoding
C Ju
Nanyang Technological University, 2024
2024
Geometric Deep Learning-Based Classifiers for Motor Imagery Classification using Electroencephalograms
C Ju, C Guan
IEEE Brain Newsletter (invited short newsletter), 2024
2024
Federated Factorization Machine for Secure Recommendation with Sparse Data
D Gao, B Tan, C Ju, V Zheng, Q Yang
AAAI'21 Workshop: Towards Robust, Secure and Efficient Machine Learning …, 2020
2020
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