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**

**[Grant]**8/24: Received a**NSF**CNS/MSI fund (co-PI) to detect hate speech in English and Spanish w/ graph learning & LLMs: Advancing Speech Detection: A Hybrid Approach Using Large Language Models and Graph Neural Networks.**[Grant]**7/24: Received a**NSF**CNS/CIRC fund (PI) to develop grand theory for graph dynamics: Synergistic Graph Flow Analytics: An Integrated Infrastructure for Bridging Complexity, Fragmentation, and Interdisciplinary Gaps.**[Grant]**6/24: We will start working on the spatial epidemiology of animal disease with USDA scientists under**USDA-ARS**funded project.`[Tutorial]`

6/24: Check our**CVPR 24’**tutorial on__Unifying Spectral and Spatial Graph Neural Network__. See the tutorial website CVPR 24’ Tutorial.**[Grant]**4/24: Received a**NSF**EDU/ITEST fund (Co-PI) to conduct AI education research: Learning to create Intelligent Solutions with Machine Learning and Computer Vision: A Pathway to AI Careers for Diverse High School Students. See media report.`[Honor]`

4/24: Received Excellent Reviewer of the IEEE Transactions on Network Science and Engineering Journal.**[Grant]**1/24: Received**NSF**IIS/III REU supp to fund (PI) undergraduate student research.`[Paper]`

12/23: 2 papers are accepted by**AAAI 24’**proposing__Graph Bayesian Optimization__to conduct information propagation efficiently: Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization, and Graph Bayesian Optimization for Multiplex Influence Maximization`[Paper]`

12/23: Our theoretical framework for spectral GNN accepted by**ACM Computing Survey**, see paper, related work and slides.**[Grant]**12/23: Received a Seed Grant from the International Institute to develop collaboration with the U. of Auckland in New Zealand.**[Grant]**12/23: Launch a working group on__Graph AI__doing cross-disciplinary study. Thanks to BCoE.`[Tool]`

8/23: XFlow is released, which targets modeling generalized graph flows**[Grant]**8/23: Received support from**USDA-ARS**funded project (Co-PI) on disease genetics. Special thanks to CVM@MSState. See our storymap.`[Paper]`

12/22: One paper is accepted by SIAM Data Mining (SDM) 23’ Understanding Influence Maximization via Higher-Order Decomposition: how seeds interact in higher-order perspective`[Textbook]`

7/22: Our textbook published by Springer Nature provides numerous code examples, Springer Nature, Amazon**[Grant]**4/22: Received**NSF**’s IIS/III fund (PI): CRII: Interpretable Influence Propagating and Blocking on Graphs

`[Paper]`

12/21: One paper about Graph Wavelet is accepted by SIAM Data Mining (SDM) 22’ with SIAM Early Career Travel Award`[Tutorial]`

5/21: See our tutorial Spreading Model for Epidemics (GNN, RNN, SIR and PDE) in SDM 21’

`[Paper & Award]`

9/20: Papers on Kalman filtering and school redistricting are accepted by ACM SIGSPATIAL 20’ with (**Best Paper Award**)`[Paper]`

12/19: Unsupervised learning for material discovery is published in**Nature Communications**.- Selected as 22nd of Top 50 Chemistry and Materials Sciences Articles Top 50 Collection

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.

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Is there an unfying framework for all types of graphs, including spectral and spatial, also, directed, higher-order, and dynamic graphs?

How to conduct Bayesian optimization over graph problems so as to reduce data use?

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