TianZhou Faculty Profile

Tian  Zhou

Assistant Professor

  • Tian.zhou@csueastbay.edu
  • (510) 885-3000
  • SF 570

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What makes me unique

My research interests lie at the intersection of graphs and large language models (LLMs). I am particularly interested in using graphs as a structured context and memory layer for intelligent systems—enabling LLM agents to organize and reason over long-term memory, exploring lightweight GraphRAG and graph storage on mobile devices, and transforming multimodal, real-world data into graph structures.

  • Graph Analysis

    LLM and Graph 

    Big data Analysis

  • Ph.D from University of Houston

  • Fall Semester 2026

    Course #SecCourse TitleDaysFromToLocationCampus
    CS 43102Database ArchitectureARRWEB-ASYNCHOnline Campus
    CS 43101Database ArchitectureTTH2:45PM4:00PMAE-0271Hayward Campus
    CS 63101Database SystemsTH4:15PM5:30PMBC-0270Hayward Campus
    CS 62101Operating Systems DesignTH5:45PM7:00PMBC-0270Hayward Campus

    • GPilot: A Full-Stack GraphRAG Chat System for Grounded Question Answering over Knowledge Graphs

      Mateo Alado, Xiantian Zhou, et al.

      1st IEEE Conference on Generative AI for Secure Systems, 2026


    • Scalable Graph-Based Detection of Fraud Rings in Large-Scale Networks

      Xiantian Zhou, Qixin Deng, Aobo Jin, Hardik Gohel

      5th IEEE International Conference on AI in Cybersecurity, 2026


    • Lanyard Policy Tracker: A Secure, Privacy-Aware Student Compliance System for K–12 Environments

      Curtis Faughnan, Xiantian Zhou, et al.

      5th IEEE International Conference on AI in Cybersecurity, 2026


    • Balanced parallel triangle enumeration with an adaptive algorithm

      Abir Farouzi, Xiantian Zhou, Ladjel Bellatreche, Carlos Ordonez

      Distributed and Parallel Databases, 42(1), 2024


    • Bitwise algorithms to compute the transitive closure of graphs in Python

      Xiantian Zhou, Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez

      DEXA 2023, vol. 14146, pp. 345–351, Springer, 2023


    • Parallel pattern enumeration in large graphs

      Abir Farouzi, Xiantian Zhou, Ladjel Bellatreche, Mimoun Malki, Carlos Ordonez

      DEXA 2023, vol. 14146, pp. 408–423, Springer, 2023


    • GALGO: scalable graph analytics with a parallel DBMS

      Wellington Cabrera, Xiantian Zhou, Ladjel Bellatreche, Carlos Ordonez

      ACM CIKM 2022, pp. 4823–4827, 2022


    • Programming languages in data science: a comparison from a database angle

      Xiantian Zhou, Carlos Ordonez

      IEEE International Conference on Big Data, pp. 3147–3154, 2021


    • Efficient graph analytics in Python for large-scale data science

      Xiantian Zhou, Carlos Ordonez

      DaWaK 2021, pp. 158–164, Springer, 2021


    • Matrix multiplication with SQL queries for graph analytics

      Xiantian Zhou, Carlos Ordonez

      IEEE International Conference on Big Data, pp. 5872–5873, 2020


    • Computing complex graph properties with SQL queries

      Xiantian Zhou, Carlos Ordonez

      IEEE Big Data, pp. 4808–4816, 2019