About Me

I am Jing Zhu, an undergraduate student at the University of Michigan, major in Computer Science. I am also an undergraduate student in Shanghai Jiao Tong University, major in Electrical and Computer Engineering. .

My research interests lie in Computer Vision and Data Mining. I am currently working on multisensory supervision with Professor Andrew Owens and Professor Wenzhen Yuan. I am also a memeber of the GEMS lab , under the supervision of Danai Koutra. Previously, I was a member of the Foreseer Group, advised by Qiaozhu Mei.



Node Proximity Is All You Need: A Unified Framework for Proximity-Preserving and Structural Node and Graph Embedding.

Jing Zhu*, Xingyu Lu*, Mark Heimann, Danai Koutra
SIAM International Conference on Data Mining (SDM 21, acceptance rate 21%)
  • We present the first unified framework of node embedding, Nonlinear Proximity Matrix Embedding (NPME) that includes both proximity-preserving and structural embeddings.
  • Awards



    Deep Fuzzy Graph

    Advisor: Qiaozhu Mei
    Research project, Foreseer Group
  • Reproduced DeepGraph in Pytorch.
  • Optimized DeepGraph using multiple Gaussian Functions which mean and variance can be learned by Convolutional Neural Network.
  • On the Transferability of NeRF Representations

    Jing Zhu, Daniel Geng, Sarah Jabbour, Jung Min Lee
    Instructor: David Fouhey
    Course Project, EECS 542, 2020 Fall.
  • We investigated if NeRF representations learned from one scene can be helpful to learning presentations for similar scenes
  • Twitter Semantic Analysis for COVID-19

    Yuhang Zhou, Jing Zhu
    Instructor: Danai Koutra
    Course Project, EECS 476, 2020 Winter.
  • Hydrated tweets related to COVID-19 from Twitter API. Applied emotion recognition for each tweet and analyzed sentiments in each twitter community.
  • [report]

    Giffty: Personal Gift Assistant

    Instructor: Kevin Leach
    Capstone Project, 2020 Winter, for my UM bachelor degree.
  • Implemented a virtual assistant that can give you personalized gift recommendations.
  • [code]

    Semi-supervised Multi-task Multi-layer Perception

    Internship Project, PPDAI Group Inc. 2019 winter

    The Detection of Diabetic Retinopathy Using Convolutional Neural Network

  • Applied convolutional neural network to automatically detect diabetic retinopathy.
  • Won special prize in Challenge Cup National College Student Competition, Shanghai
  • Magic Mirror

      Instructor: YanFeng Sheng
      Course Project, VG100, 2018 Summer.
    • Designed a smart mirror that enables facial recognition and voice assistance.
    • Won best presentation award in UM-SJTU Joint Institute summer design expo