Shichang Zhang

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About Me

I am currently a forth-year Ph.D. student in Computer Science at University of California, Los Angeles (UCLA) Data Mining Lab working with Professor Yizhou Sun. Before joining UCLA, I received my B.A. and M.S. both in Statistics from Berkeley and Stanford respectively. [CV]


3551 (ScAI Lab), Bolter Hall, UCLA, CA, 90095
E-mail: shichang AT cs DOT ucla DOT edu
[Google Scholar] [GitHub] [Twitter] [LinkedIn]

What's New

Research Interests

My research interests include

  • Graph Neural Network

  • Explainable AI

  • Self-supervised Learning

  • Model Efficiency

  • Generative Models

  • Machine Learning in General

Publications and Pre-prints

  1. Explaining Graph Neural Networks with Structure-Aware Cooperative Games (NeurIPS 2022)
    Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun [PDF]

  2. Graph-less Neural Networks, Teach Old MLPs New Tricks via Distillation (ICLR 2022)
    Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah [PDF] [code]

  3. Graph Condensation for Graph Neural Networks (ICLR 2022)
    Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah [PDF] [code]

  4. Motif-driven Contrastive Learning of Graph Representations (SSL@WWW2021)
    Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun [PDF]

Full list of publications