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Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

Mar 01, 2020
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu


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Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks

May 22, 2019
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan


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Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning

Feb 14, 2019
Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu


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Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator

Aug 30, 2018
Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu

* ICDM 2018 

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Distributed Self-Paced Learning in Alternating Direction Method of Multipliers

Jul 06, 2018
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu

* 8 pages, 4 figures, accepted by IJCAI 2018 

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Learning to Fuse Music Genres with Generative Adversarial Dual Learning

Dec 05, 2017
Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu

* International Conference on Data Mining - New Orleans, 2017 

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Multimodal Storytelling via Generative Adversarial Imitation Learning

Dec 05, 2017
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu

* IJCAI 2017 

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