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Li-Chun Wang, Ph. D

Affiliations:	1986-1990	Electrical and Control Engineering	National Chiao Tung University (Taiwan)
	1990-1992	Electrical Engineering	National Taiwan University (Taiwan)
	1992-1996	Electrical and Computer Engineering	Georgia Institute of Technology, Atlanta, GA

Area:

Wireless Communications

Website:

http://lichun.cm.nctu.edu.tw

Google:

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Parents

Gordon L. Stuber	grad student		(E-Tree)
Fan-Ren Chang	grad student	1990-1992	National Taiwan University
(Master Thesis Advisor)
Chin-Tau Lea	grad student	1992-1996	Georgia Tech (E-Tree)
(Ph. D. Co-Advisor)

Children

Wei-Cheng Liu	grad student	2003-2008	National Chiao Tung University (Taiwan)
Ang-Hsun Tsai	grad student	2008-2012	National Chung Cheng University, Taiwan

Collaborators

BETA: Related publications

Publications

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Xiao L, Zhang H, Xiao Y, et al. (2020) Reinforcement Learning-Based Downlink Interference Control for Ultra-Dense Small Cells Ieee Transactions On Wireless Communications. 19: 423-434
Chen Y, Wang L, Wang S. (2020) Stochastic Blockchain for IoT Data Integrity Ieee Transactions On Network Science and Engineering. 7: 373-384
Wang L, Chao Y, Cheng S, et al. (2020) An Integrated Affinity Propagation and Machine Learning Approach for Interference Management in Drone Base Stations Ieee Transactions On Cognitive Communications and Networking. 6: 83-94
Su C, Ye F, Wang L, et al. (2020) UAV-Assisted Wireless Charging for Energy-Constrained IoT Devices Using Dynamic Matching Ieee Internet of Things Journal. 7: 4789-4800
Adege AB, Lin H, Wang L. (2020) Mobility Predictions for IoT Devices Using Gated Recurrent Unit Network Ieee Internet of Things Journal. 7: 505-517
Chen Y, Wang L. (2019) An Overflow Problem in Network Coding for Secure Cloud Storage Ieee Transactions On Parallel and Distributed Systems. 30: 789-799
Abdullaziz OI, Wang L, Chen Y. (2019) HiAuth: Hidden Authentication for Protecting Software Defined Networks Ieee Transactions On Network and Service Management. 16: 618-631
Wang L, Cheng S. (2019) Data-Driven Resource Management for Ultra-Dense Small Cells: An Affinity Propagation Clustering Approach Ieee Transactions On Network Science and Engineering. 6: 267-279
Xiong Z, Zhang Y, Niyato D, et al. (2019) Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges Ieee Vehicular Technology Magazine. 14: 44-52
Luong NC, Niyato D, Kim DI, et al. (2019) Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach Ieee Wireless Communications Letters. 8: 1345-1348

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