Yuzhou Chen

Department of Computer and Information Sciences. Temple University.

yuzhou_pic.jpg

SERC 316,

Temple University, Philadelphia, PA 19122

I am a tenure-track Assistant Professor in Department of Computer and Information Sciences at Temple University. I am also a Visiting Research Collaborator in Department of Electrical and Computer Engineering at Princeton University. Before joining Temple University, I worked as a postdoctoral scholar, advised by H. Vincent Poor, in Department of Electrical and Computer Engineering at Princeton University. I received my Ph.D. in Statistics from Southern Methodist University advised by ‪Hon Keung Tony Ng and Yulia R. Gel.

My research interests are machine learning, deep learning, graph mining, topological data analysis, reliability theory, nonparametric statistics, and their applications. For more details, see my CV.

Recruiting New Students

I am looking for highly motivated and self-driven students NOW, who are interested in machine learning, deep learning on graphs, data mining, and topological and geometric methods in statistics. If you are interested, please contact me at yuzhou.chen@temple.edu. Include your CV and brief highlights of ML/DL/Statistics-related projects.

news

Dec 9, 2023 Three papers accepted by AAAI 2024!
Nov 16, 2023 Our paper A Simplicial Epidemic Model for COVID-19 Spread Analysis accepted by PNAS!
Sep 8, 2023 Honored to receive the research grant from NSF for the project Proto-OKN Theme 1: DREAM-KG: Develop Dynamic, REsponsive, Adaptive, and Multifaceted Knowledge Graphs to address homelessness with Explainable AI!
Aug 9, 2023 Honored to receive the research grant from NSF for the project Collaborative Research: Planning: FIRE-PLAN: Advancing Wildland Fire Analytics for Actuarial Applications and Beyond!

selected publications

  1. NeurIPS
    Time Dimension Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
    Chen, Yuzhou, Gel, Yulia R, and Poor, H Vincent
    In Advances in Neural Information Processing Systems 2022
  2. ECML-PKDD
    TopoAttn-Nets: Topological Attention in Graph Representation Learning
    Chen, Yuzhou, Sizikova, Elena, and Gel, Yulia R
    In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022
  3. ICLR
    TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting
    Chen, Yuzhou, Segovia-Dominguez, Ignacio, Coskunuzer, Baris, and Gel, Yulia R
    In International Conference on Learning Representations 2022
  4. AAAI
    BScNets: Block Simplicial Complex Neural Networks
    Chen, Yuzhou, Gel, Yulia R, and Poor, H Vincent
    In Proceedings of the AAAI Conference on Artificial Intelligence 2022
  5. NeurIPS
    Topological Relational Learning on Graphs
    Chen, Yuzhou, Coskunuzer, Baris, and Gel, Yulia R
    Advances in Neural Information Processing Systems 2021