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Biography

Feng Yin (yinfeng@cuhk.edu.cn), is currently an assistant professor in the School of Science and Engineering at the Chinese University of Hong Kong, Shenzhen, China. He received the B.Sc. degree from Shanghai Jiao Tong University, China, in 2008, and the M.Sc. and Ph.D. degrees from Technische Universität Darmstadt, Germany, in 2011 and 2014, respectively. From 2014 to 2016, he was with Ericsson Research, Linkoping, Sweden, working on the European Union FP7 Marie Curie Training Programme on Tracking in Complex Sensor Systems (TRAX). Since 2016, he has been with The Chinese University of Hong Kong, Shenzhen and also affiliated with the Shenzhen Research Institute of Big Data (SRIBD). His research interests include statistical signal processing, Bayesian deep learning, and sensory data fusion. He was a recipient of the Chinese Government Award for Outstanding Self-Financed Students Abroad in 2013. He received the Marie Curie Scholarship from the European Union in 2014. He is currently serving as the Associate Editor for the Elsevier Signal Processing Journal. He is an IEEE senior member. 

Research

Statistical Signal Processing with Emphasis on Estimation Theory; Machine Learning with Emphasis on Gaussian Processes; Sensory Data Fusion; Applications to Cooperative and/or Distributed Target Localization and Tracking in Wireless Networks

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Publications

Publication

2021

Feng Yin, R. Lu, S. Cui, P. Zhang, “Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog”, IEEE Transactions on Industrial Informatics, May, 2021, doi: 10.1109/TII.2021.3075683.
2021

Kai Chen, Qinglei Kong, Yijue Dai, Yue Xu, Feng Yin, Lexi Xu, and Shuguang Cui. "Data-Driven Wireless Communication Using Gaussian Processes", submitted to China Communications. 
2021

Q. Kong, R. Lu, Feng Yin and S. Cui, “Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT”, in IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3788-3799, April 2021, doi: 10.1109/TVT.2021.3064834.
2020

Y. Xu, Feng Yin, W. Xu, C.-H. Lee, S. Cui, “Scalable Learning Paradigms for Data-Driven Wireless Communication”, in IEEE Communications Magazine, vol. 58, no. 10, pp. 81-87, Nov. 2020. 
2020

Feng Yin, D. Li, S. Theodoridis, S. Cui, “FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing”, (30 pages tutorial type paper), in IEEE Open Journal of Signal Processing, vol. 1, pp. 187-215, Nov. 2020.
2020

Q. Kong, Feng Yin, R. Lu, S. Cui, “Privacy-Preserving Continuous Data Collection for Predictive Maintenance in Vehicular Fog-Cloud”, in IEEE Transactions on Intelligent Transportation Systems, July 2020, doi: 10.1109/TITS.2020.3011931.
2020

Feng Yin, L. Pan, T. Chen, S. Theodoridis, Z.-Q. Luo “Linear Multiple Low-Rank Kernel based Stationary Gaussian Processes Regression for Time Series”, in IEEE Transactions on Signal Processing, vol. 68, pp. 5260-5275, October 2020, doi: 10.1109/TSP.2020.3023008.
2020

H. Chen, Feng Yin, W. Huang, D. Li, “Ocean Surface Drifting Buoy System Based on UAV-Enabled Wireless Powered Relay Network”, Sensors, Vol.20, issue 9, May 2020.
2019

Y. Zhao, Feng Yin, F. Gunnarsson, F. Hultkrantz, “Gaussian Processes for Analyzing Positioned Trajectories in Sports” under review, Springer Data Mining and Knowledge Discovery, Nov., 2019.
2019

D. Jin, Feng Yin, C. Fritsche, A. M. Zoubir, F. Gustafsson, “Bayesian Cooperative Localization Using Received-Signal-Strength with Unknown Path Loss Exponent: Message Passing Approaches”, IEEE Transactions on Signal Processing, Vol.68, pp.1120-1135, Dec. 2019.
2019

Y. Xu, Feng Yin, W.J. Xu, J. Lin, S. Cui, “Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification”, IEEE Journal on Selected Areas in Communications (Special Issue: Artificial Intelligence and Machine Learning for Networking and Communications), vol.37, issue 6, pp.1291-1306, March 2019. 
2019

Y. Zhao, Feng Yin, C. Fritsche, T. Chen, F. Gustafsson, “Cramer-Rao Bounds for Filtering based on Gaussian Process State-Space Models”, IEEE Transactions on Signal Processing, vol. 67, issue 23, pp. 1197-1899, Dec. 2019.
2019

A. Xie, Feng Yin, Bo Ai, Shuguang Cui, “Distributed Gaussian Process Hyper-Parameter Optimization for Big Data Using Proximal ADMM”, IEEE Signal Processing Letters, vol. 26, issue 8, pp. 1197-1201, 2019.
2018

H. Chen, D. Li,  Y. Wang, Feng Yin, “UAV Hovering Strategy Based on Wireless-Powered Communication Network”, IEEE Access, vol.7, pp.3194-3205, Dec. 2018. 
2018

Feng Yin, S. Lin, C. Piao and S. Cui, “Fast Maximum Entropy Machine for Big Imbalanced Datasets”, Journal of Communications and Information Networks, vol.3, issue 3, pp. 20-30, Sep. 2018. 
2018

Y. Zhao, C. Fritsche, Feng Yin, F. Gunnarsson, F. Gustafsson, “Sequential Monte Carlo Methods and Theoretical Bounds for Proximity Report Based Indoor Positioning”, IEEE Transactions on Vehicular Technology, vol.67, no.6, pp.5372-5386, June, 2018.
2017

Feng Yin, and F. Gunnarsson, “Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking”, IEEE Journal of Selected Topic in Signal Processing, vol. 11, issue 3, pp.492-503, April 2017.
2017

Feng Yin, Y. Zhao, F. Gunnarsson, F. Gustafsson, “Received-Signal-Strength Threshold Optimization Using Gaussian Processe”, IEEE Transactions on Signal Processing, vol. 65, no.8, pp. 2164--2177, April 2017.
2015

Feng Yin, C. Fritsche, F. Gustafsson and A. M. Zoubir, “Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM algorithms”, IEEE Transactions on Signal Processing, vol.63, no.6, pp. 1448--1463, March 2015
2014

Feng Yin, C. Fritsche, F. Gustafsson and A. M. Zoubir, “EM- and JMAP-ML Based Joint Estimation Algorithms for Robust Geolocation in LOS/NLOS Environment”, IEEE Transactions on Signal Processing, vol.62, no.1, pp. 168--182, Jan. 2014.
2013

Feng Yin, C. Fritsche, F. Gustafsson and A. M. Zoubir, “TOA Based Robust Wireless Geolocation and Cramer-Rao Lower Bound Analysis in Harsh LOS/NLOS Environments”, IEEE Transactions on Signal Processing, vol. 61, no. 9, pp. 2243--2255, May 2013.
2012

Feng Yin, C. Debes and A. M. Zoubir, “Parametric Waveform Design using Discrete Prolate Spheroidal Sequences for Enhanced Detection of Extended Targets”, IEEE Transactions on Signal Processing, vol. 60, no. 9, pp. 4525--4536, Sep. 2012.
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