I am an Assistant Professor in the Computer Science and Engineering Department of Mississippi State University. Before joining MS State in 2020, I have been working as a research assistant at Virginia Tech. I received an outstanding contribution award from Toyota Research North America in 2016. Currently, I am focusing on graph machine learning and its applications on spatial problems, circuit, molecule, etc.

Researchers/students sharing the same interests are welcome to contact me for collaborations [Openings].

  • [Dec. 2020] Invited to serve on the program committee of ICML 21’.
  • [Dec. 2020] One paper on citation forecast is accepted by AAAI 21’.
  • [Nov. 2020] Won the Best Paper Award by ACM SIGSPATIAL 20’!
  • [Oct. 2020] One paper is accepted by EMNLP 20’.
  • [Sept. 2020] Two papers are accepted by ACM SIGSPATIAL 20’.
    • Kalman Filtering for Spatio-Temporal Graph Convolutional Network
    • Case Study for Dividing School Zones (Nomination for Best Paper Award)
  • [Jun.-Aug. 2020] I will serve on program committee of AAAI 21’, SIGIR 20’, SIGKDD 20’, NeurlPS 20’.
  • [Mar. 2020] A survey for Graph Neural Networks (GNN) is online: [preprint]. See more GNN papers here
  • [Dec. 2019] Unsupervised learning for material discovery is published in Nature Communications.
  • [Oct. 2019] The work using graph neural network for circuit deobfuscation is accepted by DATE 2020
  • [Oct. 2019] Solution for dividing school zones is accepted by ACM SIG-SPATIAL and AAAI 2020

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