陈枳扦

陈枳扦 Chen, ZhiQian

Assistant Prof.

Mississippi State Univ.

I am an Assistant Professor of Computer Science and Engineering at Mississippi State University, currently focusing on dynamic behaviors over graphs and networks (see my research interests). For students interested in my research, please explore the opportunities to work with me. If you are interested in my courses, please preview the course syllabi.

Join us at SIAM MDS 24’ and CIKM 24’ for our tutorial on Unifying Spectral and Spatial Graph Neural Network

I am seeking to hire 1 PhD student to work on Graph Theory and Large Language Models (LLMs) in the context of English and Spanish social networks, with the position starting in Spring 2025.

Assistantship applicants should complete this Form to apply. Student worker applicants use this Form.

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Research Topics

on Graph Dynamics
Spectral Graph Theory

Explore dynamic, directed, heterogeneous graph representations.

Higher-order Analysis on Graphs

Develop higher-order analysis methods for graph dynamics.

Graph Uncertainty Quantification

Investigate uncertainty quantification on graph dynamics.

Transdisciplinary Graph Dynamics

How to integrate multidisciplinary advances in graph dynamics.

Graph for Bio-info/medicine

Genetics, Brain, Spatial Epidemiology.

LLM for Graphs

Explore the use of LLM for graph dynamics.

Grants, Awards & Honors

NSF
NSF CNS
Co-PI - MSI: Detect hate speech in English and Spanish with graph learning + LLM.
See certificate
NSF
NSF EDU
Co-PI - ITEST: Develop AI education program for K-12 in Mississippi.
See certificate
NSF
NSF CNS
PI - CIRC: Develop Grand Theory for Graph Dynamics.
See certificate
NSF
NSF REU - Supplement
Sole-PI: Develop undergraduate research experience on graph dynamics.
See certificate
USDA
USDA-ARS
Co-PI - Developing Detection and Modeling Tools for the Geospatial and Environmental Epidemiology of Animal Disease.
NSF
NSF IIS
Sole PI - CRII: Interpretable Influence Propagating and Blocking on Graphs.
See certificate
USDA
USDA-ARS
Co-PI - Advancing Agricultural Research through High Performance Computing

Selected

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Higher-order Relation in Seeds
How remote seeds can implicitly ``interact’’ with each other in the influence maximization problem?
Higher-order Relation in Seeds
An Unified Framework for Graphs
Is there an unfying framework for all types of graphs, including spectral and spatial, also, directed, higher-order, and dynamic graphs?
An Unified Framework for Graphs
Graph Bayesian Optimization
How to conduct Bayesian optimization over graph problems so as to reduce data use?
Graph Bayesian Optimization
Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
A textbook for practitioners and students in computer science and data analysis
Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Graph Learning with Kalman Filtering
Use Kalman filtering to handle uncertainty.
Graph Learning with Kalman Filtering
Graph Learning on Circuits
Ues graph neural network to model circuit, and predict its encryption attribute.
Graph Learning on Circuits
Graph Learning on Street Views
Use streetview to predict the crime statistics.
Graph Learning on Street Views

Contact Me

  • zchen@cse.msstate.edu OR chen.zhiqian.work@gmail.com
  • 304 Butler Hall, 665 Perry Street, MS State, MS 39762