Network Interdiction Goes Neural
Solving Network Interdiction Problems with Graph Neural Networks
Professional Summary
About Me
Lei Zhang is an Assistant Professor of Computer Science at Northern Illinois University. He earned his Ph.D. at Virginia Tech, where he was advised by Prof. Chang-Tien Lu.
Interests
Artificial Intelligence
Machine Learning
Graph Learning
Bi-Level Optimization
Note
Hiring undergraduate research assistants and PhD students to work on Graph Neural Networks. Fill this form to apply.
- 07/25 One paper is accepted by ACM SIGSPATIAL
- 05/25 One paper is accepted by KDD2025
- 05/25 Chaired one session at SIAM SDM 25'
- 05/25 Hosted tutorial session at SIAM SDM 25’
- 04/25 One paper is accepted by Knowledge and Information Systems (KAIS)
- 10/24 Hosted tutorial session at SIAM MDS 24’
- 10/24 Hosted tutorial session at CIKM 24’
- 06/24 Check our CVPR 24’ tutorial on Unifying Spectral and Spatial Graph Neural Network. See the tutorial website CVPR 24’ Tutorial.
- 08/24 Joined the Computer Science Department of Northern Illinois University
♾️ My Research
I am currently exploring the reasoning and expressive capabilities of Graph Neural Networks. I am also excited about using neural networks to tackle challenging scientific problems that have yet to be addressed. Feel free to reach out if you see potential alignment and are interested in collaborating.
📌Featured Publications
Infinitely Deep Graph Transformation Networks
Deep Equilibrium Model for Node-Edge Co-Evolution Graph Neural Network
📋Recent Publications
(2025).
Network Interdiction Goes Neural.
In KDD ‘25.
(2024).
Unifying Spectral and Spatial Graph Neural Networks.
In CIKM ‘24.
(2023).
Infinitely Deep Graph Transformation Networks.
In ICDM2023.
(2023).
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation.
Front. Big Data.
📢Recent Talks
🤖Trivia