Xingbo Fu

PhD candidate
Department of Electrical and Computer Engineering
University of Virginia
Email: xf3av AT virginia DOT edu
Google Scholar | LinkedIn | GitHub

About

I am a PhD student in the Department of Electrical and Computer Engineering at the University of Virginia, now working with Dr. Jundong Li. I received my M.S. in Control and my B.Eng. in Automation at Xi’an Jiaotong University. My research interests include graph mining and federated learning.

News

May. 2025 - Our tutorial on graph prompt learning is accepted by KDD 2025.
May. 2025 - Glad to receive Best Doctoral Forum Poster Award (runner-up) at SDM 2025.
Apr. 2025 - Released a survey paper on Scaling in LLM Reasoning. Please check it out!
Jan. 2025 - One paper is accepted by ICLR 2025.
Dec. 2024 - One paper is accepted by AAAI 2025.
Oct. 2024 - One paper is accepted by TMLR.
May. 2024 - Join Amazon as an Applied Scientist intern in Seattle.
May. 2024 - Released a survey paper on Safety in Graph Machine Learning: Threats and Safeguards. Please check it out!
May. 2024 - One paper is accepted by KDD 2024.
Feb. 2024 - Honored to receive the iPRIME Fellowship Awards.
May. 2023 - One paper is accepted by KDD 2023.
Mar. 2023 - One paper is accepted by IEEE ICHI 2023.
Sep. 2022 - Our survey paper is accepted by by SIGKDD Explorations.
Sep. 2022 - A short version of our survey paper is accepted by FedGraph2022 with Spotlight.
July 2022 - Release a comprehensive survey on Federated Graph Machine Learning.
Aug. 2020 - Join the University of Virginia as a PhD student.
June 2020 - Graduate from Xi’an Jiaotong University (with honor).
May. 2020 - Successfully defend my Master Thesis at Xi’an Jiaotong University.
Apr. 2020 - One paper was accepted by the 39th Chinese Control Conference (CCC 2020).
Sep. 2019 - One paper is accepted by the workshop at ICDM 2019 - DeepSpatial 2019.
Mar. 2019 - One paper is accepted by ISGT Asia 2019.