Contact info: ningxin.su@mail.utoronto.ca · Google Scholar · LinkedIn
Current location: Toronto, Canada
At a Glance
I am currently a fourth-year Ph.D. Candidate in the Department of Electrical and Computer Engineering, University of Toronto, under the supervision of Prof. Baochun Li in the iQua research group. I received my M.E. and B.E. degrees from The University of Sheffield and Beijing University of Posts and Telecommunications in 2020 and 2019, respectively. My research areas include the metaverse, networking, distributed machine learning and federated learning.
Ningxin’s Curriculum Vitae as of May 2023.
Publications
Conferences
Ningxin Su, Baochun Li. “How Asynchronous can Federated Learning Be?” in the Proceedings of IEEE/ACM International Symposium on Quality of Service (IWQoS), Virtual Conference, June 10 – 12, 2022. [Project][Presentation Slides] [Source Code]
Ningxin Su, Baochun Li. “Asynchronous Federated Unlearning,” in the Proceedings of IEEE International Conference on Computer Communications (INFOCOM), New York, USA, May 17 – 20, 2023. [Project][Presentation Slides][Source Code]
Ningxin Su, Baochun Li, Bo Li. “Multi-Server Stable Rendezvous for the Metaverse,” in the Proceedings of IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, June 26 – 28, 2023 (Best Paper Award). [Presentation Slides]
Baochun Li, Ningxin Su, Chen Ying, Fei Wang. “Plato: An Open-Source Research Framework for Production Federated Learning,” in the Proceedings of ACM Turing Award Celebration Conference (TURC), Wuhan, China, July, 2023.
Journal
Ningxin Su, Baochun Li. “MLOps in the Metaverse: Human-Centric Continuous Integration,” in IEEE Journal on Selected Areas in Communications, Special issue on Human-Centric Communication and Networking for Metaverse over 5G and Beyond Networks, September 2023.
About me
Meet Ningxin — a multi-faceted individual with a passion for the arts, sports, and knowledge. With experience conducting a large choir, drumming in a rock band, and teaching dance, Ningxin showcases a deep love for music and movement. As an accomplished long-distance runner, Ningxin is always eager to try new sports and physical challenges. Ningxin is also known for managing large-scale teams, bringing people together to create memorable experiences. In addition, Ningxin is an avid traveler, seeking out new museums, cultures, and natural wonders. Ningxin’s true passion, however, lies in the fields of metaverse and distributed machine learning, with a focus on systems, networking and federated learning. Whether on stage or in the lab, Ningxin strives to constantly learn, grow, and push herself to new heights.