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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 

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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 Code: 

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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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An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification

Apr 04, 2018
Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu

* Intelligent Systems for Molecular Biology (ISMB) 2018, Bioinformatics 
* 17 pages 

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AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding

Mar 24, 2018
Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu

* 8 pages, 5 figures 

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Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms

Feb 12, 2018
Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric Xing, Min Xu

* IEEE International Conference on Image Processing (ICIP) 2018 
* 9 pages 

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Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography

Jan 31, 2018
Jialiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu

* International Conference on Image Analysis and Recognition (ICIAR) 2018 
* 8 pages 

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Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms

Jan 31, 2018
Bo Zhou, Qiang Guo, Xiangrui Zeng, Min Xu

* 14 pages 

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