Shuya Ding

Machine learning for balanced and imbalanced data

Shuya Ding, 2016 .

Roaming in Connecting Light: Practical Visible Light Communication Leveraging LED Sensing

Jun Luo, Jie Hao, Yanbing Yang, 2017, VLCS@MobiCom.

Large-Scale Modeling and Optimization Strategy for Multi-Energy Management Systems

Leonardy Setyawan, Shuya Ding, Hsu Wen Jing, 2018, 2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT).

A Meta-learning Based Multimodal Neural Network for Multistep Ahead Battery Thermal Runaway Forecasting

Tianyang Zhao, Jun Luo, Shuya Ding, 2021, IEEE Transactions on Industrial Informatics.

Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder

Jun Luo, Chang Liu, Shuya Ding, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RF-net: a unified meta-learning framework for RF-enabled one-shot human activity recognition

Jun Luo, Zhe Chen, Shuya Ding, 2020, SenSys.

Kernel based online learning for imbalance multiclass classification

Zhiping Lin, Tam V. Nguyen, Jiuwen Cao, 2018, Neurocomputing.

System reliability enhancement via deep-driven computer vision

Shuya Ding, 2021 .

Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation pdf

Shuya Ding, Tianyue Zheng, Zhe Chen, 2021, ArXiv.

Enhancing RF Sensing with Deep Learning: A Layered Approach

Shuya Ding, Tianyue Zheng, Zhe Chen, 2021, IEEE Communications Magazine.