me

Xianbin Zhu

yonyou Network Technology

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xianbinzhu@duck.com

Short Bio

  • Trained in theoretical computer science, he worked on graph algorithms, information theory, and distributed systems. He now focuses on AI development, combining theoretical rigor with practical engineering to build reliable and scalable AI systems.
  • He is an AI algorithm specialist.
  • He was a postdoc in the group of Jara Uitto from September 2024 at Aalto University.
  • He obtained Ph.D degree from CityUHK on 2024 under the supervision of Peter Robinson and Minming Li.

Publications (full paper)

Authors by alphabetical order

2025
  • Dynamic Approximate Maximum Matching in the Distributed Vertex Partition Model.

    With P. Robinson.

  • Perfect Matching with Few Link Activations.

    With H. Mirault, P. Robinson, M. M. Tan.

2024
  • Dynamic Maximal Matching in Clique Networks. (ITCS 2024)

    With M. Li, P. Robinson.

2023
  • Massively Parallel Algorithms for the Stochastic Block Model. (ESA 2023)

    With Z. Li, P. Peng.

  • Improved Tradeoffs for Leader Election. (PODC 2023)  Invited to Distributed Computing

    With S. Kutten, P. Robinson, M. M. Tan.

Projects

AI & systems projects: RAG, agents, and production tooling.

2 projectsLLM: 1RAG: 1Agent: 1

Focus: LLM, RAG, Agent

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