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Converged Reconfigurable Intelligent Surface and Mobile Edge Computing for Space Information Networks


Jun 08, 2021
Xuelin Cao, Bo Yang, Chongwen Huang, Chau Yuen, Yan Zhang, Dusit Niyato, Zhu Han


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A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars


May 20, 2021
Latif U. Khan, Yan Kyaw Tun, Madyan Alsenwi, Muhammad Imran, Zhu Han, Choong Seon Hong


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Reconfigurable Intelligent Surface-Assisted MAC for Wireless Networks: Protocol Design, Analysis, and Optimization


Mar 23, 2021
Xuelin Cao, Bo Yang, Hongliang Zhang, Chongwen Huang, Chau Yuen, Zhu Han


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Spatial Equalization Before Reception: Reconfigurable Intelligent Surfaces for Multi-path Mitigation


Mar 08, 2021
Hongliang Zhang, Lingyang Song, Zhu Han, H. Vincent Poor

* Accepted by IEEE ICASSP 2021 

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Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation


Jan 18, 2021
Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor


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To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices


Dec 22, 2020
Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han

* Accepted for publication in INFOCOM'21 

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Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients


Dec 02, 2020
Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor


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Edge-assisted Democratized Learning Towards Federated Analytics


Dec 01, 2020
Shashi Raj Pandey, Minh N. H. Nguyen, Tri Nguyen Dang, Nguyen H. Tran, Kyi Thar, Zhu Han, Choong Seon Hong

* Submitted to IEEE for possible publication 

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Energy Drain of the Object Detection Processing Pipeline for Mobile Devices: Analysis and Implications


Nov 26, 2020
Haoxin Wang, BaekGyu Kim, Jiang Xie, Zhu Han

* This is a personal copy of the authors. Not for redistribution. The final version of this paper was accepted by IEEE Transactions on Green Communications and Networking 

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Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks


Nov 25, 2020
Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong


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An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach


Sep 22, 2020
Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, Choong Seon Hong

* Paper-TW-Apr-20-0557(2020) 

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Deep Learning Techniques for Future Intelligent Cross-Media Retrieval


Jul 21, 2020
Sadaqat ur Rehman, Muhammad Waqas, Shanshan Tu, Anis Koubaa, Obaid ur Rehman, Jawad Ahmad, Muhammad Hanif, Zhu Han

* arXiv admin note: text overlap with arXiv:1804.09539 by other authors 

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Codebook-Based Beam Tracking for Conformal ArrayEnabled UAV MmWave Networks


May 28, 2020
Jinglin Zhang, Wenjun Xu, Hui Gao, Miao Pan, Zhu Han, Ping Zhang


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Decentralized Learning for Channel Allocation in IoT Networks over Unlicensed Bandwidth as a Contextual Multi-player Multi-armed Bandit Game


Apr 04, 2020
Wenbo Wang, Amir Leshem, Dusit Niyato, Zhu Han

* 30 pages, 10 figures, submitted to IEEE TWC 

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Hyperspectral-Multispectral Image Fusion with Weighted LASSO


Mar 15, 2020
Nguyen Tran, Rupali Mankar, David Mayerich, Zhu Han


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Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach


Feb 21, 2020
Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran, Zhu Han, Choong Seon Hong

* Submitted to IEEE Transactions on Intelligent Transportation Systems, Special Issue on Unmanned Aircraft System Traffic Management 

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Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach


Feb 21, 2020
Md. Shirajum Munir, Sarder Fakhrul Abedin, Nguyen H. Tran, Zhu Han, Eui Nam Huh, Choong Seon Hong

* Submitted to IEEE Internet of Things Journal 

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Optimal Pricing of Internet of Things: A Machine Learning Approach


Feb 14, 2020
Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Derek Leong, Ping Wang, Zhu Han

* IEEE Journal on Selected Areas in Communications, 2020 dIEEE Journal on Selected Areas in Communications IEEE Journal on Selected Areas in Communications 
* 17 pages 

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A Predictive On-Demand Placement of UAV Base Stations Using Echo State Network


Oct 06, 2019
Haoran Peng, Chao Chen, Chuan-Chi Lai, Li-Chun Wang, Zhu Han

* 6 pages, 8 figures, accepted by 2019 IEEE/CIC International Conference on Communications in China (ICCC) 

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A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction


May 13, 2019
Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han

* Proceedings of the 2019 SIAM International Conference on Data Mining 
* https://epubs.siam.org/doi/abs/10.1137/1.9781611975673.12 

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Optimal Differentially Private ADMM for Distributed Machine Learning


Jan 07, 2019
Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han


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Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks


Mar 29, 2018
Xiaoyuan Liang, Xunsheng Du, Guiling Wang, Zhu Han


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Mobile Big Data Analytics Using Deep Learning and Apache Spark


Feb 23, 2016
Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han

* IEEE Network, vol. 30, no. 3, pp. 22-29, June 2016 

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Non-parametric Bayesian Learning with Deep Learning Structure and Its Applications in Wireless Networks


Oct 23, 2014
Erte Pan, Zhu Han

* 5 pages, 2 figures and 1 algorithm list 

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Repeated Auctions with Learning for Spectrum Access in Cognitive Radio Networks


Oct 12, 2009
Zhu Han, Rong Zheng, Vincent H. Poor

* This paper is presented in Allerton Conference on Communication, Control, and Computing 2009 

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