Publications

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu (2023). Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. Under Review.

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Zonghan Zhang, Zhiqian Chen (2023). Explain Influence Maximization with Sobol Indices. SDM.

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Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu (2020). Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL.

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Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj PD, Houman Homayoun, Liang Zhao (2020). Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE.

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

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

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