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Shuya Ding
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RF-net: A unified meta-learning framework for RF-enabled one-shot human activity recognition
S Ding, Z Chen, T Zheng, J Luo
Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 517-530, 2020
1042020
Kernel based online learning for imbalance multiclass classification
S Ding, B Mirza, Z Lin, J Cao, X Lai, TV Nguyen, J Sepulveda
Neurocomputing 277, 139-148, 2018
772018
Enhancing RF sensing with deep learning: A layered approach
T Zheng, Z Chen, S Ding, J Luo
IEEE Communications Magazine 59 (2), 70-76, 2021
332021
A Meta-learning Based Multi-modal Neural Network for Multi-step ahead Battery Thermal Runaway Forecasting
S Ding, C Dong, T Zhao, LM Koh, X Bai, J Luo
IEEE Transactions of Industrial Informatics, 2020
302020
Enhancing intrinsic adversarial robustness via feature pyramid decoder
G Li, S Ding, J Luo, C Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
212020
Roaming in connecting light: Practical visible light communication leveraging LED sensing
Y Yang, S Ding, J Hao, J Luo
Proceedings of the 4th ACM Workshop on Visible Light Communication Systems, 9-14, 2017
102017
Large-scale modeling and optimization strategy for multi-energy management systems
L Setyawan, J Tan, S Ding, E Raynaud, HW Jing
2018 Asian Conference on Energy, Power and Transportation Electrification …, 2018
42018
Adv-4-Adv: Thwarting changing adversarial perturbations via adversarial domain adaptation
T Zheng, Z Chen, S Ding, C Cai, J Luo
Neurocomputing 569, 127114, 2024
12024
System reliability enhancement via deep-driven computer vision
S Ding
Nanyang Technological University, 2021
2021
Machine learning for balanced and imbalanced data
S Ding
2016
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