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Causality for Inherently Explainable Transformers: CAT-XPLAIN


Jun 29, 2022
Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs

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* Accepted for spotlight presentation at the Explainable Artificial Intelligence for Computer Vision Workshop at CVPR 2022 

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Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee


May 22, 2022
Youhui Ye, Meimei Liu, Xin Xing

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Dynamic Image for 3D MRI Image Alzheimer's Disease Classification


Nov 30, 2020
Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs

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* Accepted to ECCV2020 Workshop on BioImage Computing 

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Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks


Oct 13, 2020
Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu

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Joint 2D-3D Breast Cancer Classification


Feb 27, 2020
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs

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* Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019 

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2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification


Feb 27, 2020
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs

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* Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019 

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Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms


Feb 24, 2020
Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney

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* 33 pages, 13 figures 

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Minimax Nonparametric Two-sample Test


Nov 08, 2019
Xin Xing, Zuofeng Shang, Pang Du, Ping Ma, Wenxuan Zhong, Jun S. Liu

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* 56 pages 

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Minimax Nonparametric Parallelism Test


Nov 06, 2019
Xin Xing, Meimei Liu, Ping Ma, Wenxuan Zhong

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* 48 pages, 5 figures, 6 tables 

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Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction


Jul 19, 2019
Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu, Yanlong Du

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* Accepted by KDD 2019 

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