Open Papers
AI/ML conference paper scraper for building a high-quality dataset of research papers.
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1 min read
Professional Summary
About Me
I am an Assistant Professor of Computer Science at Northern Illinois University (NIU). I received my Ph.D. in Computer Science from Virginia Tech in December 2023, where I was advised by Prof. Chang-Tien Lu at the Sanghani Center for Artificial Intelligence and Data Analytics.
My research focuses on graph-based representation learning and reasoning, as well as information retrieval. Feel free to reach out if you see potential alignment and are interested in collaborating.
At NIU, I co-founded the NIU AI and organize the AI & ML research seminar series. NIU students can subscribe here to participate.
Interests
Artificial Intelligence
Machine Learning
Graph Learning
Bi-Level Optimization
Note
Hiring undergraduate research assistants and PhD students to work on AI and Machine Learning.
- Apr. 2026 One paper is accepted by JGR: Machine Learning and Computation.
- Dec. 2025 Served as Digital Infrastructure Chair for JCDL 2025.
- Nov. 2025 Served as Poster Chair for IEEE ICDM 2025.
- Jul. 2025 One paper is accepted by ACM SIGSPATIAL 2025.
- May 2025 One paper is accepted by KDD 2025.
- May 2025 Chaired a session at SIAM SDM 25’.
- May 2025 Hosted a tutorial session at SIAM SDM 25’.
- Apr. 2025 One paper is accepted by Knowledge and Information Systems (KAIS).
- Oct. 2024 Hosted a tutorial session at SIAM MDS 24’.
- Oct. 2024 Hosted a tutorial session at CIKM 24’.
- Jun. 2024 Our tutorial on Unifying Spectral and Spatial Graph Neural Network at CVPR 24’ is live! See the Tutorial Website.
- Aug. 2024 Joined the Department of Computer Science at Northern Illinois University.
♾️ My Research
Secure-AI Project
Overview The Secure-AI Project is a research initiative focused on integrating artificial intelligence (AI) and cybersecurity literacy into high school education. As AI …
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2 min read
Network Interdiction Goes Neural
Solving Network Interdiction Problems with Graph Neural Networks
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.
🤖Trivia