陈枳扦

陈枳扦 Chen, Zhiqian

Assistant Professor

Mississippi State University

I am an Assistant Professor in the Computer Science and Engineering Department of Mississippi State University. Before joining MS State in 2020, I worked as a research assistant at Virginia Tech. I am now working on machine learning, with a particular emphasis on dynamics behaviors over graphs/networks, see my research interest.

Call for undergraduate students opening
  • [Tutorial] 2/24: our tutorial on Spectral and Spatial Graph Neural Network has been accepted at CVPR 24’. Look forward to our gathering in Seattle this summer!

  • [Fund] 1/24: Received NSF REU supp to fund undergraduate students research.

  • [Paper] 12/23: 2 papers are accepted by AAAI 24’: We proposed Graph Bayesian Optimization to conduct Information Propagation efficiently.

  • [Paper] 12/23: Our theoretical framework for unifying GNN accepted by ACM Computing Survey, see paper, related work collection and slides.

  • [Tool] 12/23: Our custom GPT Research Reviewer (used in 600+ chats) is listed as 1st returned result of Research Review at gptshunter and gpts.works. Check our FlowGPT (117 chats), which demonstrates the energy evolution of disease spreading.

  • [Fund] 12/23: Received a Global Development Seed Grant Award from International Institute to develop a collaboration with the University of Auckland in New Zealand.

  • [Fund] 12/23: Launch a working group on Graph AI comprised of academic members from social science, biomedical, supply chain, and geoscience. Thanks to Bagley College of Engineering for financial support.

  • [Tool] 8/23: XFlow is released which targets to model generalized graph flows

  • [Fund] 8/23: USDA-ARS funded project on genomics. Special thanks to the support from CVM@MSState

  • [Paper] 12/22: One paper is accepted by SIAM Data Mining (SDM) 23’: how seeds interact in higher-order perspective

  • [Textbook] 7/22: Our textbook published by Springer Nature provides numerous code examples, Springer Nature, Amazon

  • [Fund] 4/22: Received NSF’s fund: CRII: Interpretable Influence Propagating and Blocking on Graphs

  • [Paper] 12/21: One paper is accepted by SIAM Data Mining (SDM) 22’

    • Graph Wavelet for Impact Forecast of Traffic Accidents, 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: 2 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