Langzhou He

Louis Langzhou He

Welcome to my page! I'm Langzhou He, a first-year Ph.D. student in Big Data and Social Computing(BDSC) Lab at the University of Illinois Chicago under the supervision of Prof. Philip S. Yu. I obtained my B.S. degree in CS with honors from Southwest University, where I work closely with Prof. Li Tao and Prof. Chao Gao.

Email  /  CV  /  Google Scholar  /  Linkedin  /  Github

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Research

My research interests primarily lie in machine learning and data mining, with a specific focus on graph machine learning, foundation models, and their practical applications. I am currently committed to advancing generative AI for relational data, particularly in domains such as finance and scientific research.

News

  • 08/2024, Accept the invitation as a reviewer @ ICLR 2025

  • 08/2024, Start my Ph.D. journey at the University of Illinois Chicago!

  • 05/2024, Accept the invitation as a reviewer @ NeurIPS 2024

  • 01/2024, I will be joining Big Data and Social Computing(BDSC) Lab at the University of Illinois Chicago to start my Ph.D Journey! Great thanks to all the people who have helped me during the application season!
  • 12/2023, Accept the invitation as a reviewer @ IEEE Transactions on Neural Networks and Learning Systems
  • Publications

    1. Integrating Global Features into Neural Collaborative Filtering
      Langzhou He, Songxin Wang, Jiaxin Wang, Chao Gao, Li Tao
      Knowledge Science, Engineering and Management (KSEM), 2022

    2. Dynamic community detection over evolving networks based on the optimized deep graph infomax
      Hao Liu, Langzhou He, Fan Zhang, Zhen Wang, Chao Gao, Li Tao
      CHAOS, 2022

    3. Identifying Multiple Influential Nodes for Complex Networks Based on Multi-Agent Deep Reinforcement Learning
      Shengzhou Kong, Langzhou He, Guilian Zhang, Li Tao, Zili Zhang
      Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2022

    4. Temporal Link Prediction Based on Node Dynamics
      Jiayun Wu, Langzhou He, Tao Jia, Li Tao
      Chaos, Solitons & Fractals, 2023

    5. A Sequential-Path Tree-Based Centrality for Identifying Influential Spreaders In Temporal Networks
      Li Tao, Shengzhou Kong, Langzhou He, Fan Zhang, Xianghua Li, Tao Jia, Zhen Han
      Chaos, Solitons & Fractals, 2023

    Honors

    1. 2024, Outstanding Graduates

    2. 2023, Innovation and Entrepreneurship Award

    3. 2023, First-tier Scholarship

    4. 2022, Academic Science Award

    5. 2021, Merit Student of University

    6. 2021, Second-tier Scholarship

    Services

  • Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems.

  • Conference Reviewer: NeurIPS 2024, ICLR 2025.

  • To all students/friends

    Feel free to drop me an email if you're up for a laid-back chat about life, career, or research. You are very welcome to send me an email to schedule a coffee chat with me around Downtown Chicago.

    Misc

  • My Chinese name is 何浪舟, prouounced as Ho Lang-Chou.

  • I'm passionate about sports, especially football and Formula 1. My favorite teams are Real Madrid and Mercedes-AMG F1 team.

  • Music is an important part of my life. I like k-pop, my favorite group is aespa. I really enjoy classic music. Check out some of my favorite plays by masters:


  • Latest Update: 2/26/2024


    Templates from Jon Barron.