Ce Ju - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI PerformanceCe Ju, Reinmar Josef Kobler, Cuntai Guan. embc 2023: 1-7 [doi]

Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery ClassificationCe Ju, Cuntai Guan. tnn, 34(12):10955-10969, December 2023. [doi]

2020

Deep Polarized Network for Supervised Learning of Accurate Binary Hashing CodesLixin Fan, KamWoh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan. IJCAI 2020: 825-831 [doi]

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy AttacksLixin Fan, KamWoh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang. In Qiang Yang 0001, Lixin Fan, Han Yu 0001, editors, Federated Learning - Privacy and Incentive. Volume 12500 of Lecture Notes in Computer Science, pages 32-50, Springer, 2020. [doi]

Federated Transfer Learning for EEG Signal ClassificationCe Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu 0165, Cuntai Guan. embc 2020: 3040-3045 [doi]

Interaction-aware Kalman Neural Networks for Trajectory PredictionCe Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Dong Eui Chang. ivs 2020: 1793-1800 [doi]

2019

Privacy-preserving Heterogeneous Federated Transfer LearningDashan Gao, Yang Liu 0165, Anbu Huang, Ce Ju, Han Yu, Qiang Yang. bigdataconf 2019: 2552-2559 [doi]

Effective and Efficient Sports Play Retrieval with Deep Representation LearningZheng Wang, Cheng Long, Gao Cong, Ce Ju. kdd 2019: 499-509 [doi]

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