Jianwei Huang is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research primarily falls within the broad area of Computer Science, with a significant focus on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Management Science and Operations Research, and Computer Science Applications.
Their recent publications reveal a strong emphasis on federated learning, privacy-preserving technologies, and network optimization. Notable papers include "Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling" published in 2022 at IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, "Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information" from 2020 in IEEE Journal on Selected Areas in Communications, and "Cost-Effective Federated Learning in Mobile Edge Networks" published in 2021 also in IEEE Journal on Selected Areas in Communications. Other topics they have explored include plant genome research in "The genome of the recretohalophyte Limonium bicolor provides insights into salt gland development and salinity adaptation during terrestrial evolution" (2022, Molecular Plant) and "Age-Dependent Differential Privacy" (2023, IEEE Transactions on Information Theory).
Jianwei Huang frequently collaborates with several researchers, including Dong-Hui Lu, Makoto Hashimoto, R. J. Birgeneau, Ningning Ding, and Ji Seop Oh.
The scientist has published extensively in respected academic venues, with the largest number of publications appearing in arXiv (Cornell University), followed by IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, and IEEE Transactions on Network Science and Engineering.
The major research topics encompassed in Jianwei Huang's work cover:
The scientist has contributed to fields that span both theoretical and applied aspects of computer science, including mobile and network systems, optimization techniques, and data privacy mechanisms.
Jianwei Huang;R.A. Berry;M.L. Honig
Jianwei Huang;Randall A. Berry;Michael L. Honig
Hao Wang;Jianwei Huang
Jianwei Huang;V.G. Subramanian;R. Agrawal;R.A. Berry
Chenye Wu;H. Mohsenian-Rad;Jianwei Huang
Wenbing Dang;Meixia Tao;Hua Mu;Jianwei Huang
J. Huang;V.G. Subramanian;R. Agrawal;R. Berry
Li Ping Qian;Y. J. A. Zhang;Jianwei Huang;Yuan Wu
Jianwei Huang;Zhu Han;Mung Chiang;H.V. Poor
Li Ping Qian;Ying Jun Zhang;Jianwei Huang
Lingjie Duan;Takeshi Kubo;Kohei Sugiyama;Jianwei Huang
Lingjie Duan;Lin Gao;Jianwei Huang
J. Huang;R.A. Berry;M.L. Honig
R. Cendrillon;Jianwei Huang;Mung Chiang;M. Moonen
Lin Gao;Fen Hou;Jianwei Huang
George Iosifidis;Lin Gao;Jianwei Huang;Leandros Tassiulas
Bing Luo;Xiang Li;Shiqiang Wang;Jianwei Huang
Xiaomin Ouyang;Zhiyuan Xie;Jiayu Zhou;Jianwei Huang
Hao Wang;Jianwei Huang
Man Hon Cheung;Richard Southwell;Fen Hou;Jianwei Huang
Liqun Fu;Soung Chang Liew;Jianwei Huang
Jianwei Huang;V.G. Subramanian;R. Berry;R. Agrawal
Wenbing Dang;Meixia Tao;Hua Mu;Jianwei Huang
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