Guocong Quan

Guocong Quan 

Guocong Quan

Assistant Professor
Department of Computer Science
Sun Yat-sen University, Guangzhou, China

Email: quangc AT mail.sysu.edu.cn

Biography

Guocong Quan received his B.E. degree in electrical engineering from University of Science and Technology of China (USTC), Hefei, Anhui, China, in 2016. He received the Ph.D. degree in electrical and computer engineering from The Ohio State University, Columbus, OH, USA, in 2021, advised by Prof. Ness B. Shroff, Prof. Atilla Eryilmaz and Prof. Jian Tan. From Oct. 2021 to Mar. 2024, he worked as a research scientist and then a senior research scientist at Meta (formerly the Facebook company), Menlo Park, CA, USA. Before joining SYSU, he was a postdoctoral fellow at The Chinese University of Hong Kong, working with Prof. Xiaojun Lin.

His current research interests include

  • Resolving challenges in networks and distributed systems using optimization and learning theory;

  • Improving communication and computation efficiency of complex ML systems.

Publications

Journal papers

  1. G. Quan, A. Eryilmaz, N. Shroff, Minimizing Edge Caching Service Costs Through Regret-Optimal Online Learning, IEEE/ACM Transactions on Networking (ToN), 32(5): 4349-4364, 2024. [PDF]

  2. G. Quan, A. Eryilmaz, N. Shroff, Optimal Edge Caching for Individualized Demand Dynamics, IEEE/ACM Transactions on Networking (ToN), 32(4): 2826-2841, 2024. [PDF]

  3. G. Quan, A. Eryilmaz, J. Tan, N. Shroff, Prefetching and Caching for Minimizing Service Costs: Optimal and Approximation Strategies, Performance Evaluation, 145: 102149, 2021. [PDF]

  4. G. Quan, J. Tan, A. Eryilmaz, Counterintuitive Characteristics of Optimal Distributed LRU Caching Over Unreliable Channels, IEEE/ACM Transactions on Networking (ToN), 28(6): 2461-2474, 2020. [PDF]

  5. G. Quan, J. Tan, A. Eryilmaz, N. Shroff, A New Flexible Multi-flow LRU Cache Management Paradigm for Minimizing Misses, Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 3(2): 39:1-39:30, 2019. [PDF]

  6. J. Tan, G. Quan, K. Ji, N. Shroff, On Resource Pooling and Separation for LRU Caching, Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2(1): 5:1-5:31, 2018. [PDF]

Conference papers

  1. G. Quan, A. Eryilmaz, N. Shroff, Regret-Optimal Learning for Minimizing Edge Caching Service Costs, IEEE WiOpt, 2022. [PDF]

  2. G. Quan, A. Eryilmaz, J. Tan, N. Shroff, Prefetching and Caching for Minimizing Service Costs: Optimal and Approximation Strategies, IFIP Performance, 2020. [Extended Abstract] [Journal Version]

  3. G. Quan, J. Tan, A. Eryilmaz, N. Shroff, A New Flexible Multi-flow LRU Cache Management Paradigm for Minimizing Misses, ACM SIGMETRICS, 2019. [Extended Abstract] [Journal Version]

  4. G. Quan, J. Tan, A. Eryilmaz, Counterintuitive Characteristics of Optimal Distributed LRU Caching Over Unreliable Channels, IEEE INFOCOM, 2019. (IEEE INFOCOM 2019 Best Paper Award) [PDF]

  5. G. Quan, K. Ji, J. Tan, LRU Caching with Dependent Competing Requests, IEEE INFOCOM, 2018. [PDF]

  6. K. Ji, G. Quan, J. Tan, Asymptotic Miss Ratio of LRU Caching with Consistent Hashing, IEEE INFOCOM, 2018. [PDF]

  7. J. Tan, G. Quan, K. Ji, N. Shroff, On Resource Pooling and Separation for LRU Caching, ACM SIGMETRICS, 2018. [Extended Abstract] [Journal Version]

Honors & Awards

  • IEEE INFOCOM Best Paper Award, 2019

  • IEEE INFOCOM Best In-session Presentation Award, 2019

  • ACM SIGMETRICS Student Travel Grant, 2019, 2018

  • National Scholarship, USTC, 2015

Academic Services

Organizing Committees

Program Committees

  • IEEE INFOCOM Poster 2025, 2024, 2022, 2021

Journal Review

  • IEEE/ACM Transactions on Networking

  • IEEE Transactions on Parallel and Distributed Systems

  • IEEE Transactions on Network Science and Engineering

  • IEEE Transactions on Network and Service Management

  • ACM Transactions on Modeling and Performance Evaluation of Computing Systems