About Me
I am Jing Zhu, a first year PhD student at the University of Michigan. My advisor is Danai Koutra. My primary research interest lies in knowledge graphs.
News
- [2021/11] I will join the DGL group as an applied scientist intern in the upcoming summer!
- [2021/08] "NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases EMNLP'21!
- [2020/12] "Node Proximity Is All You Need: A Unified Framework for Proximity-Preserving and Structural Node and Graph Embedding." is accepted at SDM'21!
Publications
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases. [link]
Tara Safavi Jing Zhu, Danai Koutra
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 21, acceptance rate 25.6%)
Node Proximity Is All You Need: A Unified Framework for Proximity-Preserving and Structural Node and Graph Embedding. [link]
Jing Zhu*, Xingyu Lu*, Mark Heimann, Danai Koutra
SIAM International Conference on Data Mining (SDM 21, acceptance rate 21%)
Selected Awards
- CSE fellowship, University of Michigan. 2021-2022
- Rackham Travel Grant, University of Michigan. Nov. 2021.
- SDM Travel Award, Society for Industrial and Applied Mathematics. Apr. 2021.
- James B. Angell Scholar, University of Michigan. Mar. 2021.
- Jackson and Muriel Lum Scholarship, University of Michigan. 2019-2021
- Excellent Undergraduate Scholarship, Shanghai Jiao Tong University. Nov. 2018, Nov. 2019.
Teaching
- EECS476 Data Mining, University of Michigan. 2021 Winter.
- EECS496 Major Design Experience-Professionalism, University of Michigan. 2020 Fall.
- VV285 Honors Mathematics III, Shanghai Jiao Tong University. 2019 Summer.
- VV186 Honors Mathematics II, Shanghai Jiao Tong University. 2018 Fall.
Projects

Deep Fuzzy Graph
Advisor: Qiaozhu Mei
Research project, Foreseer Group
On the Transferability of NeRF Representations
Jing Zhu, Daniel Geng, Sarah Jabbour, Jung Min Lee
Instructor: David Fouhey
Course Project, EECS 542, 2020 Fall.
Twitter Semantic Analysis for COVID-19
Yuhang Zhou, Jing Zhu
Instructor: Danai Koutra
Course Project, EECS 476, 2020 Winter.
[report]
Misc
- I would love to help minority students in CS research. Feel free to reach out if you need anything.