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X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs


Apr 05, 2023
Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves

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Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems


Oct 23, 2022
Yufeng Wang, Cong Xu, Min Yang, Jin Zhang

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* 21 pages 

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Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction


Jul 25, 2022
Huaying Hao, Cong Xu, Dan Zhang, Qifeng Yan, Jiong Zhang, Yue Liu, Yitian Zhao

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* Accepted by IEEE Journal of Biomedical and Health Informatics 

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Understanding Adversarial Robustness from Feature Maps of Convolutional Layers


Feb 25, 2022
Cong Xu, Min Yang

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* 10pages 

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Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions


Feb 13, 2022
Yufeng Wang, Dan Li, Cong Xu, Min Yang

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* 8pages 

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Missingness Augmentation: A General Approach for Improving Generative Imputation Models


Jul 31, 2021
Yufeng Wang, Dan Li, Cong Xu, Min Yang

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* 7 pages 

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An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks


May 19, 2021
Cong Xu, Xiang Li, Min Yang

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* 15 pages 

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Adversarial Momentum-Contrastive Pre-Training


Jan 10, 2021
Cong Xu, Min Yang

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* 7 pages;4 figures; preprint 

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