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Semantic Editing On Segmentation Map Via Multi-Expansion Loss


Oct 16, 2020
Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao


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Reimagining City Configuration: Automated Urban Planning via Adversarial Learning


Aug 22, 2020
Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu


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Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations


Jul 03, 2020
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu


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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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TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction


Nov 20, 2019
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu


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Mitigating Uncertainty in Document Classification


Jul 17, 2019
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan

* Accepted by NAACL19 

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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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Robust Regression via Online Feature Selection under Adversarial Data Corruption


Feb 05, 2019
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

* 10 pages, 3 figures 

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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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Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding


Aug 26, 2018
Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen

* 20 pages 

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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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Online and Distributed Robust Regressions under Adversarial Data Corruption


Oct 02, 2017
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

* Accepted by ICDM 2017 

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