PhD (The Chinese University of Hong Kong)

Master (Beijing University of Posts and Telecommunications)

Bachelor (Tianjin University)

Yuan Luo is an assistant professor of School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen. Before joining CUHK(SZ), Dr Luo was a research fellow at in the Department of Computing at Imperial College, advised by Prof. Nick Jennings. She received her Ph.D. in the Department of Information Engineering at the Chinese University of Hong Kong (CUHK), advised by Prof. Jianwei Huang. She was a visiting scholar in the EECS department at University of California at Berkeley (UC Berkeley), advised by Prof. Jean Walrand. 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 IJCAI, AAMAS, INFOCOM, GLOBECOM, and ICC.

Selected Publication (until Sept. 2024):

1. Yuan Luo et al., "On the Design of Low Phase Noise and Flat Spectrum Optical Parametric Frequency Comb”," APL Photonics, vol. 8, no.11, 110802, 2023 (Editor’s Pick).
2. Yuan Luo et al., "Communications with Guaranteed Low Latency and Bandwidth using Frequency Referenced Multiplexing”, Nature Electronics, 6, pp.694-702, 2023 (Corresponding Author, IF: 33.255).
3. Yuan Luo et al., "Low-latency Wavelength-Switched Clock-Synchronized Intra-Data Center Interconnects Enabled by hollow Core Fibe”, Optics Express, no. 15, pp. 24739-24748, 202.
4. Yuan Luo and Nick Jennings, "A Budget-Limited Mechanism for Category-Aware Crowdsourcing of Multiple-Choice Tasks," Artificial Intelligence (AIJ), vol.~299, 2021
5. Yuan Luo and Nick Jennings, "A Differential Privacy Mechanism that Accounts for Network Effects for Crowdsourcing Systems," Journal of Artificial Intelligence Research (JAIR), vol.~69, pp:1127-1164, 2020.
6. Yuan Luo, Nihar B. Shah, Jianwei Huang, Jean Walrand, "Parametric Prediction from Parametric Agents," Operations Research (A+ Journal in OR & MS), vol.~66, no.~2, pp:313-326, 2018.
7. Yuan Luo, Lin Gao, and Jianwei Huang, "An Integrated Spectrum and Information Market for Green Cognitive Communications," IEEE Journal on Selected Areas in Communications (JSAC), vol. 34, no. 12, pp. 3326-3338, Aug. 2016.
8. Yuan Luo, Lin Gao, and Jianwei Huang, "MINE GOLD to Deliver Green Cognitive Communications," IEEE Journal on Selected Areas in Communications (JSAC), vol. 33, no. 2, pp. 2749-2760, Dec. 2015.
9. Yuan Luo, Lin Gao, and Jianwei Huang, "Spectrum Reservation Contract Design in TV White Space Networks," IEEE Transactions on Cognitive Communications and Networking (Invited Paper), vol. 1, no. 2, pp. 147-160, June. 2015.
10. Yuan Luo, Lin Gao, and Jianwei Huang, "Business Modeling for TV White Space Networks," IEEE Communications Magazine, vol. 53, no. 5, pp. 82-88, May 2015.
11. Yuan Luo, Lin Gao, and Jianwei Huang, "Price and Inventory Competition in Oligopoly TV White Space Markets," IEEE Journal on Selected Areas in Communications (JSAC), vol 33, no 5, pp. 1002-1013, October 2014.
12. X. Li, Y. Luo, B. Luo and J. Huang, “Welfare Maximization for Federated Learning with Network Effects,” International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (Mobihoc), 2024 (A+ Conference in Mobile Computing).
13. W.Ye, B. Liu, Y. Luo and J. Huang, “Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing,” International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2024 (A+ Conference in Artificial Intelligence).
14. Y. Wang and Y. Luo, “WeaGAN: Weather-Aware Graph Attention Network for Traffic Prediction”, The 26th European Conference on Artificial Intelligence (ECAI), pp.2591-2598, 2023 (Corresponding Author, A+Conference in Artificial Intelligence).
15. Y. Luo, “Dynamic Workload-Aware Bike Rebalancing for Bike-Sharing Systems”, The 26th European Conference on Artificial Intelligence (ECAI), pp.1641-1647, 2023 (Corresponding Author, A+ Conference in Artificial Intelligence).
16. Y. Cai, R. Sohanpal, Y. Luo, A. M. Heidt, Z. Liu, “On the Noise Scaling of Parametric Frequency Combs”, European Conference on Optical Communication (ECOC), 2023 (A+ Conference in Optical Communication).
17. Y. Luo, “Incentivizing Sequential Crowdsourcing Systems”, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 2697-2699. 2023 (A+ Conference in Artificial Intelligence).
18. Y. Cai, R. Sohanpal, Y. Luo, A. M. Heidt, Z. Liu, “Low-noise, Flat-spectrum, Polarization-Maintaining All-Fiber Frequency Comb for Wideband Communications”, Optical Fiber Communication Conference (OFC), paper Th1B.5, 2023 (A+ Conference in Optical Communication).
19. Z. Zhou, J. Wei, K. Clark, E. Sillekens, C. Deakin, R. Sohanpal, Y. Luo, R. Slavik and Z. Liu, “Multipoint-to-Point Data Aggregation using A Single Receiver and Frequency-Multiplexed Intensity-modulated ONUs”, Optical Fiber Communication Conference (OFC), paper Tu2G.4, 2022 (A+Conference in Optical Communication).
20. 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 (A+ Conference in Artificial Intelligence).