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Doctoral candidate |
Biao Dong is currently a doctoral candidate in the Harbin Institute of Technology, Shenzhen. His research interests include Integrated Sensing, Computation, and Communication, distributed/decentralized learning, Statistical Signal Processing, Semantic Communication.
RDJSCC: Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmision over Severe Fading Channel,
Biao Dong, Bin Cao, Wenkai Tian,Yu Wang
GLOBECOM 2024[PDF]
Joint ROI Guidance and Spatial Analysis for Task-Aware Distributed Deep Joint Source-Channel
Coding,
Wenkai Tian, Biao Dong, Bin Cao
GLOBECOM 2024[PDF][Code]
Toward Opportunistic Semantic and Bit Communications: A NOMA Enabled Approach,
Yanshao Ji, Biao Dong, Bin Cao
ICCC 2024[PDF]
A Lightweight Decentralized Learning-based Automatic Modulation Classification Method for Resource Constrained Edge Devices,
Biao Dong, Yuchao Liu,Guan Gui,Xue Fu,Heng Dong,Bamidele Adebisi,Haris Gacanin and Hikmet Sari
IEEE Internet Things J. (IEEE IoT), 2022. [JCR Q1][PDF][Code]
Decentralized Automatic Modulation Classification Method Based on Lightweight Neural Networks
Biao Dong, Guozhen Xu, Xue Fu, Heng Dong, Haris Gacanin and Fumiyuki Adachi
in Proc. IEEE 33nd Annu. Int. Symp. Pers. Indoor Mobile Radio Commun. (PIMRC), 2022. Accept.[PDF]
基于轻量化分布式学习的自动调制分类方法
杨洁,董标,付雪,王禹,桂冠
通信学报, 2022. Accept.[PDF]