2012 - IEEE Fellow For contributions to cross-layer optimization of wireless networks
His Artificial intelligence study spans across into fields like Machine learning and Data mining. Junshan Zhang connects Machine learning with Artificial intelligence in his research. MIMO and Fading are the subject areas of his Channel (broadcasting) study. His work on MIMO is being expanded to include thematically relevant topics such as Channel (broadcasting). While working on this project, Junshan Zhang studies both Computer network and Distributed computing. He integrates many fields in his works, including Distributed computing and Computer network. He conducts interdisciplinary study in the fields of Telecommunications and Wireless through his research. He performs multidisciplinary study in the fields of Wireless and Telecommunications via his papers. His Quantum mechanics study frequently links to related topics such as Power (physics).
His Mathematical optimization research spans across into subjects like Algorithm and Scheduling (production processes). He integrates Algorithm with Mathematical optimization in his study. Junshan Zhang combines Computer network and Distributed computing in his research. Junshan Zhang performs multidisciplinary study in the fields of Distributed computing and Computer network via his papers. As part of his studies on Telecommunications, he often connects relevant subjects like Channel (broadcasting). His work on Channel (broadcasting) is being expanded to include thematically relevant topics such as Telecommunications. His Quantum mechanics study frequently draws connections to other fields, such as Electric power system. His study brings together the fields of Power (physics) and Electric power system. His Power (physics) study often links to related topics such as Quantum mechanics.
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Capacity bounds and power allocation for wireless relay channels
A. Host-Madsen;Junshan Zhang.
IEEE Transactions on Information Theory (2005)
On the capacity of MIMO relay channels
Bo Wang;Junshan Zhang;A. Host-Madsen.
IEEE Transactions on Information Theory (2005)
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
Zhi Zhou;Xu Chen;En Li;Liekang Zeng.
Proceedings of the IEEE (2019)
Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory
Jiawen Kang;Zehui Xiong;Dusit Niyato;Shengli Xie.
IEEE Internet of Things Journal (2019)
Toward Optimal Allocation of Location Dependent Tasks in Crowdsensing
Shibo He;Dong Hoon Shin;Junshan Zhang;Jiming Chen.
international conference on computer communications (2014)
Exploiting social ties for cooperative D2D communications: a mobile social networking case
Xu Chen;Brian Proulx;Xiaowen Gong;Junshan Zhang.
IEEE ACM Transactions on Networking (2015)
Output MAI distributions of linear MMSE multiuser receivers in DS-CDMA systems
Junshan Zhang;E.K.P. Chong;D.N.C. Tse.
IEEE Transactions on Information Theory (2001)
Optimal Allocation of Interconnecting Links in Cyber-Physical Systems: Interdependence, Cascading Failures, and Robustness
Osman Yagan;Dajun Qian;Junshan Zhang;D. Cochran.
IEEE Transactions on Parallel and Distributed Systems (2012)
Robust Online Dynamic Security Assessment Using Adaptive Ensemble Decision-Tree Learning
Miao He;Junshan Zhang;Vijay Vittal.
IEEE Transactions on Power Systems (2013)
Virtual MIMO in Multi-Cell Distributed Antenna Systems: Coordinated Transmissions with Large-Scale CSIT
Wei Feng;Yanmin Wang;Ning Ge;Jianhua Lu.
IEEE Journal on Selected Areas in Communications (2013)
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