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Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization


Nov 17, 2021
Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu

* Bioinformatics 2021 
* 14 pages 

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Objects in Semantic Topology


Oct 06, 2021
Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu


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Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction


Aug 16, 2021
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

* 11 pages (2 pages of supplementary), 10 figures, 7 tables. Accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021) 

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Disentangling semantic features of macromolecules in Cryo-Electron Tomography


Jun 27, 2021
Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu


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Estimating Instance-dependent Label-noise Transition Matrix using DNNs


May 27, 2021
Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu


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An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking


Mar 13, 2021
Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu

* 13 pages, 9 figures 

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Enhancing Transformation-based Defenses against Adversarial Examples with First-Order Perturbations


Mar 08, 2021
Haimin Zhang, Min Xu


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Self-supervised Pretraining of Visual Features in the Wild


Mar 05, 2021
Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski


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Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography


Feb 24, 2021
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Xing, Min Xu

* 14 ages 

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SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks


Feb 20, 2021
Haimin Zhang, Min Xu


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Free Lunch for Few-shot Learning: Distribution Calibration


Jan 16, 2021
Shuo Yang, Lu Liu, Min Xu

* The 9th International Conference on Learning Representations (ICLR 2021) 
* ICLR 2021 oral paper, code is available at https://github.com/ShuoYang-1998/ICLR2021-Oral_Distribution_Calibration 

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Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels


Nov 28, 2020
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing


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Weight Encode Reconstruction Network for Computed Tomography in a Semi-Case-Wise and Learning-Based Way


Oct 02, 2020
Hujie Pan, Xuesong Li, Min Xu


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Experimental Analysis of Legendre Decomposition in Machine Learning


Aug 12, 2020
Jianye Pang, Kai Yi, Wanguang Yin, Min Xu


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Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms


Jul 30, 2020
Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu

* Bioinformatics 2020 
* This article has been accepted for publication in Bioinformatics Published by Oxford University Press 

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Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning


Jul 27, 2020
Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu

* Accepted to International Conference on Image Analysis and Recognition, ICIAR 2019. Published at https://doi.org/10.1007/978-3-030-27272-2_29 Code: https://github.com/zoujx96/DR-segmentation 

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SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking


Mar 17, 2020
Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Yan Xu, Tianjiang Wang, Qi Feng

* 8pages 

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Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory


Mar 14, 2020
Shuo Yang, Min Xu, Hongxun Yao


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AITom: Open-source AI platform for cryo-electron Tomography data analysis


Nov 08, 2019
Xiangrui Zeng, Min Xu

* 1 figure 

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A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis


Oct 05, 2019
Wei Wu, Xukun Li, Peng Du, Guanjing Lang, Min Xu, Kaijin Xu, Lanjuan Li


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Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection


Sep 10, 2019
Yingyue Xu, Dan Xu, Xiaopeng Hong, Wanli Ouyang, Rongrong Ji, Min Xu, Guoying Zhao

* Accepted to ICCV 

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Practical and Robust Privacy Amplification with Multi-Party Differential Privacy


Aug 30, 2019
Tianhao Wang, Min Xu, Bolin Ding, Jingren Zhou, Ninghui Li, Somesh Jha


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Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography


Aug 27, 2019
Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu

* 2019 International Joint Conference on Neural Networks (IJCNN) 
* 13 pages. arXiv admin note: text overlap with arXiv:1710.09412, arXiv:1710.05381, arXiv:1708.02002 by other authors 

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Learning Multi-level Deep Representations for Image Emotion Classification


Sep 25, 2018
Tianrong Rao, Min Xu, Dong Xu


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Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization


Jun 11, 2018
Haimin Zhang, Min Xu

* 18 pages 

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Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations


Jun 07, 2018
Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu

* Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018 

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Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography


May 16, 2018
Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu

* British Machine Vision Conference (BMVC) 2018 

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Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching


May 12, 2018
Kai Wen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu

* British Machine Vision Conference (BMVC) 2018 

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