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 graph mining, reliability theory, machine learning, (geometric) deep learning, nonparametric statistics, topological data analysis, semi-supervised classification, and life-testing procedures, in application to power systems and blockchain.

Recruiting New Students

I am looking for highly motivated and self-driven students, who are interested in machine learning/deep learning on graphs, data mining, and topological and geometric methods in statistics. Master’s and undergraduate students at Temple University are also welcome to apply. 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

Mar 22, 2023 One paper was accepted to IEEE Transactions on Power Systems!
Mar 18, 2023 Our workshop Data Mining for Climate Change and Health Equity (DMC^2HE) was accepted by ICDM 2023!
Mar 6, 2023 Our workshop Bridge-AI: from Climate Change to Health Equity (BridgeAICCHE) was accepted by IJCAI 2023!
Feb 15, 2023 One paper was accepted to ICASSP 2023!

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