Zhiqian Chen

Ph.D. Candidate in Computer Science

Virginia Tech

I am seeking for a research position, including a tenure-track assistant professor and a research scientist. Please feel free to contact with me if you have a match.
  • An interdisciplinary work for material discovery is accepted by Nature Communications, which is also selected as Editors’ Highlights of recent research on Energy Materials.
  • The work using graph neural network for circuit security is accepted by DATE 2020
  • Solution for dividing school zones is accepted by ACM SIGSPATIAL and AAAI-EAAI 2020


  • Graph Learning
  • Explainable AI
  • Computational Art
  • Interdisciplinary Research with ML


  • Ph.D., Virginia Tech, U.S.

  • MEng., Peking University, China

  • BSc., Huazhong Univ. of Sci. & Tech., China

Research Topics


Materials Application by Deep Learning

[ Collaborated with Toyota Research, Illinois Tech ]

Material development heavily relies on domain knowledge and professional’s …

Circuit Security and SAT solving

[ Collaborated with George Manson University ]

Boolean Satisfiability (SAT) problem is a fundamental problem in computer science and …

Creative Music Composition with Generative Model

[ Collaborated with Georgia Tech ]

Computational creativity is a lively research area that focuses on understanding and facilitating …

Spatial Temporal Problem by Graph Model

[ Collaborated with DAC at Virginia Tech ]

Graph neural networks (GNNs) motivate many applications based on network data such as …

Understand Graph Neural Networks

[ Collaborated with University of Taxes at Dallas, Rensselaer Polytechnic Institute ]

Today’s deep learning is still a black …

Brain and Physics Inspired Nueral Networks Design

The current generation is inspired by neuron’s connection. However, more effective mechanisms of human’s brain are remains …

Multimodal Learning

Intuitively, humans understand and infer among multiple types of data such as image, video and text, which are often represented by …

Recent Publications

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