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Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework


Jul 31, 2021
Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang

* To be publish in ACM MM 2021 

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Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression


May 01, 2021
Xin Ding, Yongwei Wang, Zuheng Xu, Z. Jane Wang, William J. Welch


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Efficient Subsampling for Generating High-Quality Images from Conditional Generative Adversarial Networks


Mar 20, 2021
Xin Ding, Yongwei Wang, Z. Jane Wang, William J. Welch


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CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation


Nov 15, 2020
Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang


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Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training Samples


Oct 29, 2020
Xin Ding, Qiong Zhang, William J. Welch


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Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection


Oct 29, 2020
Yongwei Wang, Xin Ding, Li Ding, Rabab Ward, Z. Jane Wang


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A Novel Neural Network Training Framework with Data Assimilation


Oct 06, 2020
Chong Chen, Qinghui Xing, Xin Ding, Yaru Xue, Tianfu Zhong


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Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss


Nov 01, 2019
Xin Ding, Z. Jane Wang, William J. Welch


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Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing


Jan 28, 2016
Xin Ding, Wei Chen, Ian J. Wassell


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