Xingbo Fu

Xingbo Fu

Bloomberg AI

xf3av AT outlook DOT com

About

I build AI agents at Bloomberg AI, focusing on AI-driven solutions for financial data. I received my Ph.D. in Computer Engineering from the University of Virginia, where I was advised by Dr. Jundong Li. I obtained my M.S. and B.Eng. degrees from Xi'an Jiaotong University.

News

2026-09

One paper is accepted by LOG 2026.

2026-08

One paper is accepted by EMNLP 2026.

2026-04

One paper is accepted by SIGKDD Explorations.

2026-03

I joined Bloomberg AI, focusing on building AI agents for financial data.

2026-01

One paper is accepted by TKDE.

2025-11

One paper is accepted by TMLR.

2025-09

One paper is accepted by NeurIPS 2025.

2025-08

One paper is accepted by EMNLP 2025.

2025-07

One paper is accepted by ECAI 2025.

2025-06

Joined Netflix as a Machine Learning Research intern in Los Gatos.

2025-05

Released a survey paper on Graph Foundation Models.

2025-05

Our tutorial on graph prompt learning is accepted by KDD 2025.

2025-04

Released a survey paper on Scaling in LLM Reasoning.

2025-01

One paper is accepted by ICLR 2025.

2024-12

One paper is accepted by AAAI 2025.

2024-10

One paper is accepted by TMLR.

2024-05

Joined Amazon as an Applied Scientist intern in Seattle.

2024-05

Released a survey paper on safety in graph machine learning.

2024-05

One paper is accepted by KDD 2024.

2023-05

One paper is accepted by KDD 2023.

2023-03

One paper is accepted by IEEE ICHI 2023.

2022-09

Our survey paper on Federated Graph Learning is accepted by SIGKDD Explorations.

2022-09

A short version of our survey paper on Federated Graph Learning is accepted by FedGraph 2022 with Spotlight.