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香港中文大学深圳理工学院老师教授导师介绍简介-LUO Yuan

本站小编 Free考研考试/2022-01-29

LUO Yuan
Assistant Professor

Education Background
PhD(The Chinese University of Hong Kong)Master (Beijing University of Posts and Telecommunications)Bachelor (Tianjin University)
Research Field
Artificial Intelligence, Computational Game Theory, Mechanism Design, Machine Learning, Multi-Agent Reinforcement Learning
Personal Website
http://yuanluo.info/
Email
luoyuan@cuhk.edu.cn
Biography
Yuan Luo is an Assistant Professor at the School of Science and Engineering, the Chinese University of Hong Kong (Shenzhen). Before joining CUHKSZ, Dr. Luo was a research fellow at Department of Computing, Imperial College London. She received her PhD from the Dept. of Information Engineering at the Chinese University of Hong Kong in 2015. Her research lies in the field of artificial intelligence and multi-agent systems, focusing on integrating machine learning with game theory.?Dr Luo received IEEE WiOpt Best Paper Award, Hong Kong PhD Fellowship, CUHK Young Scholar Thesis Award, and CUHK Postgraduate Research Output Award. She is an Area Editor for Springer Encyclopedia of Wireless Networks-area on Network Economics and Pricing. She serves in the technical program committees (TPC) of leading conferences including AAMAS, INFOCOM, GLOBECOM, and ICC.

Academic Publications
Book
1. Y. Luo, L. Gao, and J. Huang, “Economics of Database-Assisted Spectrum Sharing”, Xuemin (Sherman) Shen (series editor), Springer, 80 pages, July 2016 (https://www.springer.com/la/book/9783319432304).
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Journal
Y. Luo and N. Jennings, “A Budget-Limited Mechanism for Category-Aware Crowdsourcing of Multiple-Choice Tasks”, Artificial Intelligence, vol. 299, 2021.
Y. Luo and N. Jennings, “A Differential Privacy Mechanism that Accounts for Network Effects for Crowdsourcing Systems”, Journal of Artificial Intelligence Research, vol. 69, pp: 1127-1164, 2020.
Y. Luo, N. Shah, J. Huang, and J. Walrand, “Parametric Prediction from Parametric Agents”, Operations Research, vol. 66, no. 2, pp: 313-326, 2018.
Y. Luo, L. Gao, and J. Huang, “An Integrated Spectrum and Information Market for Green Cognitive Communications”, IEEE Journal on Selected Areas in Communications, vol. 34, no. 12, pp. 3326-3338, Aug. 2016.
Y. Luo, L. Gao, and J. Huang, “MINE GOLD to Deliver Green Cognitive Communications”, IEEE Journal on Selected Areas in Communications, vol. 33, no. 2, pp. 2749-2760, Dec. 2015.
Y. Luo, L. Gao, and J. Huang, “Spectrum Reservation Contract Design in TV White Space Networks”, IEEE Transactions on Cognitive Communications and Networking (Invited Paper for the Inaugural Double-Issue), vol. 1, no. 2, pp. 147-160, June. 2015.
Y. Luo, L. Gao, and J. Huang, “Business Modeling for TV White Space Networks”, IEEE Communications Magazine, vol. 53, no. 5, pp. 82-88, May 2015.
Y. Luo, L. Gao, and J. Huang, “Price and Inventory Competition in Oligopoly TV White Space Markets”, IEEE Journal on Selected Areas in Communications, vol. 33, no. 5, pp. 1002-1013, May 2015.
L. Song, L. Li, X. Gao, H. Wang, and Y. Luo, “Gain Matrix Design Method to Ensure Reciprocity in TDD MIMO Relay Systems”, IEICE Transactions on Communications, vol. E94-B, no. 12, pp. 3395-3398, December, 2011.
Conference
Y. Luo and N. Jennings, “A Budget-Limited Mechanism for Category-Aware Crowdsourcing Systems”, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020.
Y. Luo and N. Jennings, “A Differential Privacy Mechanism with Network Effects for Crowdsourcing Systems”, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1998-2000, 2018.
Y. Luo, N. Shah, J. Huang, and J. Walrand, “Parametric Prediction from Parametric Agents”, ACM NetEcon 2015 (in conjunction with ACM SIGMETRICS 2015 and ACM EC 2015), 2015.
Y. Luo, L. Gao, and J. Huang, “HySIM: A Hybrid Spectrum and Information Market for TV White Space Networks”, IEEE International Conference on Computer Communications (INFOCOM), pp. 900–908, 2015.
Y. Luo, L. Gao, and J. Huang, “Trade Information, Not Spectrum: A Novel TV White Space Information Market Model”, IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) (Best Paper Award), pp. 405–412, 2014.
Y. Luo, L. Gao, and J. Huang, “Information Market for TV White Space Market”, IEEE Workshop on Smart Data Pricing (SDP) (Invited Paper), pp. 604–609, May 2014.
Y. Luo, L. Gao, and J. Huang, “White Space Ecosystem: A Secondary Network Operator’s Perspective”, IEEE Global Communications Conference (GLOBECOM), pp. 925–930, 2013.
Y. Luo, L. Gao, and J. Huang, “Spectrum Broker by Geo-location Database”, IEEE Global Communications Conference (GLOBECOM), pp. 5427–5432, 2012.
Y. Luo, L. Li, and Z. Liu, “A Hybrid Codebook Design Algorithm for MIMO Amplify-and-Forward Relaying System with Power Allocation and Precoding”, IEEE Global Communications Conference (GLOBECOM), pp. 1–5, 2010.
Y. Luo, L. Li, Q. Wang, and Z. Liu, “A Codebook-Based Precoding Method for MIMO Amplify-and-Forward Relaying System”, IEEE Vehicular Technology Conference (VTC-Fall), pp. 1-5, 2010.
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