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.
- [Editors’ Highlights] / [Article] / [Blog] / [Nature Chem]
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

Interests

Graph Learning
Explainable AI
Computational Art
Interdisciplinary Research with ML

Education

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 …

Featured Publications

Ying Zhang, Xingfeng He, Zhiqian Chen, Qiang Bai, Charles A.Roberts, Debasish Banerjee, Tomoya Matsunaga, Yifei Mo, Chen Ling

November 2019 In Nature Communications

Unsupervised Discovery of Solid-State Lithium Ion Conductors

Apply hierarchical clustering technique for characterizing Solid-State Lithium Ion conductors

Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu

October 2018 In ICDM

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator

A rational neural networks for improving graph node-level embeddings.

PDF Code Slides

Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu

July 2017 In ICDM

Learning to Fuse Music Genres with Generative Adversarial Dual Learning

Extend GAN to fuse different domains in an unsupervised fashion, which is not only for music fusion but also any other domain.

Recent Publications

Quickly discover relevant content by filtering publications.

Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Nathan Self, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan . Geospatial Clustering for Balanced and Proximal Schools. In AAAI-EAAI (to appear), 2020.

Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Liang Zhao . Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. In DATE (to appear), 2020.

Zhao Ding, Zhiqian Chen, Tianyi Ma, Chang-Tien Lu, Wenhui Ma, Leon Shaw . Predicting the Hydrogen Release Ability of LiBH4-based Mixtures by Ensemble Machine Learning. In Energy Storage Materials (to appear), 2019.

Ying Zhang, Xingfeng He, Zhiqian Chen, Qiang Bai, Charles A.Roberts, Debasish Banerjee, Tomoya Matsunaga, Yifei Mo, Chen Ling . Unsupervised Discovery of Solid-State Lithium Ion Conductors. In Nature Communications, 2019.

Zhao Ding, Shaoyuan Li, Yang Zhou, Zhiqian Chen, Weijie Yang, Wenhui Ma, Leon Shaw . LiBH4 for hydrogen storage - New perspectives. In Nano Materials Science, 2019.

Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan . Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. In IJCAI, 2019.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan . REGAL: A Regionalization framework for school boundaries. In SIGSPATIAL, 2019.

Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu . Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. In ICDM, 2018.

PDF Code Slides

Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu . StreetNet: Preference Learning with Convolutional Neural Network on Urban Crime Perception. In SIGSPATIAL, 2018.

Manu Shukla, Zhiqian Chen, Chang-Tien Lu . DIMPL: a distributed in-memory drone flight path builder system. In Journal of Big Data, 2018.

Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu . Distributed self-paced learning in alternating direction method of multipliers. In IJCAI, 2018.

Bingsheng Wang, Zhiqian Chen, Arnold P. Boedihardjo, Chang-Tien Lu . Virtual Metering: An Efficient Water Disaggregation Algorithm via Non-Intrusive Load Monitoring. In TIST, 2018.

Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu . Learning to Fuse Music Genres with Generative Adversarial Dual Learning. In ICDM, 2017.

Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu . TRACES: Generating Twitter Stories via Shared Subspace and Temporal Smoothness. In BigData, 2017.

Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P. Boedihardjo, Chang-Tien Lu . Trendi: Tracking Stories in News and Microblogs via Emerging, Evolving and Fading Topics. In BigData, 2017.

Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Chang-Tien Lu . Multimodal Storytelling via Generative Adversarial Imitation Learning. In IJCAI, 2017.

Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P. Boedihardjo, Chang-Tien Lu . Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing. In BigData, 2016.

Manu Shukla, Zhiqian Chen, Chang-Tien Lu . DIFPLL: Distributed drone flight path builder system. (Best student paper). In GISTAM, 2015.

Zhiqian Chen, Wenya Feng . Detecting Impolite Crawler by Using Time Series Analysis. In ICTAI, 2013.