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ORCIDMin Xu 0009
Person information
- affiliation: Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA
- affiliation (PhD 2009): University of Southern California, Department of Computational Biology and Bioinformatics, Los Angeles, CA, USA
Other persons with the same name
- Min Xu — disambiguation page
- Min Xu 0001
![[0000-0001-9581-8849]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9581-8849")
— University of Technology, School of Computing and Communications, Sydney, NSW, Australia (and 2 more) - Min Xu 0002 — Beijing University of Posts and Telecommunications, Wireless Technology Innovation Institute, China
- Min Xu 0003 — Capital Normal University, College of Information Engineering, Beijing, China (and 1 more)
- Min Xu 0004 — University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, USA (and 1 more)
- Min Xu 0005 — Beijing Normal University, School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, China (and 1 more)
- Min Xu 0006 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Min Xu 0007 — Chinese Academy of Sciences / Beijing Normal University, Institute of Remote Sensing and Digital Earth, China
- Min Xu 0008 — Central South University, School of Physics and Electronics, Changsha, China
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2020 – today
- 2020
[j13]Feiyang Chen, Ying Jiang, Xiangrui Zeng, Jing Zhang, Xin Gao, Min Xu:
PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation. Algorithms 13(5): 126 (2020)- [j12]Sinuo Liu, Xiaojuan Ban, Xiangrui Zeng, Fengnian Zhao, Yuan Gao, Wenjie Wu, Hongpan Zhang, Feiyang Chen, Thomas Hall, Xin Gao, Min Xu:
A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation. BMC Bioinform. 21(1): 399 (2020) - [j11]Yongchun Lü, Xiangrui Zeng, Xinhui Tian, Xiao Shi, Hui Wang, Xiaohui Zheng, Xiaodong Liu, Xiaofang Zhao, Xin Gao, Min Xu:
Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation. BMC Bioinform. 21-S(13): 391 (2020) - [j10]Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Yu Hao, Xiaohua Wan, Xuefeng Cui, Fa Zhang, Emmanuel Moebel, Xiao Wang, Daisuke Kihara, Xiangrui Zeng, Min Xu, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak:
SHREC 2020: Classification in cryo-electron tomograms. Comput. Graph. 91: 279-289 (2020) - [j9]Jie Shi, Xiangrui Zeng, Rui Jiang, Tao Jiang, Min Xu:
A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection. Quant. Biol. 8(1): 51-63 (2020) - [j8]Yufeng Yang, Yixiao Ma, Jing Zhang, Xin Gao, Min Xu:
AttPNet: Attention-Based Deep Neural Network for 3D Point Set Analysis. Sensors 20(19): 5455 (2020) - [c18]Sinuo Liu, Yan Ma, Xiaojuan Ban, Xiangrui Zeng, Vamsi Nallapareddy, Ajinkya Chaudhari, Min Xu:
Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2. BIBM 2020: 80-87 - [c17]Xiangrui Zeng, Min Xu:
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging. CVPR 2020: 4072-4083 - [c16]Shan Gao, Renmin Han, Xiangrui Zeng, Xuefeng Cui, Zhiyong Liu, Min Xu, Fa Zhang:
Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography. ISBRA 2020: 82-94 - [i13]Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu:
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning. CoRR abs/2007.13854 (2020) - [i12]Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu:
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms. CoRR abs/2007.15422 (2020) - [i11]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR abs/2011.14164 (2020)
2010 – 2019
- 2019
- [j7]Renmin Han, Zhipeng Bao, Xiangrui Zeng, Tongxin Niu, Fa Zhang, Min Xu, Xin Gao:
A joint method for marker-free alignment of tilt series in electron tomography. Bioinform. 35(14): i249-i259 (2019) - [j6]Ruogu Lin, Xiangrui Zeng, Kris Kitani, Min Xu:
Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms. Bioinform. 35(14): i260-i268 (2019) - [j5]Yongchun Lü, Xiangrui Zeng, Xiaofang Zhao, Shirui Li, Hua Li, Xin Gao, Min Xu:
Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization. BMC Bioinform. 20(1): 443:1-443:13 (2019) - [j4]Ran Li, Xiangrui Zeng, Stephanie E. Sigmund, Ruogu Lin, Bo Zhou, Chang Liu, Kaiwen Wang, Rui Jiang, Zachary Freyberg, Hairong Lv, Min Xu:
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN. BMC Bioinform. 20-S(3): 75-85 (2019) - [c15]Ilja Gubins, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Xuefeng Du, Xiangrui Zeng, Zhenxi Zhu, Lufan Chang, Min Xu, Emmanuel Moebel, Antonio Martínez-Sánchez, Charles Kervrann, Tuan Manh Lai, Xusi Han, Genki Terashi, Daisuke Kihara, Benjamin A. Himes, Xiaohua Wan, Jingrong Zhang, Shan Gao, Yu Hao, Zhilong Lv, Xiaohua Wan, Zhidong Yang, Zijun Ding, Xuefeng Cui, Fa Zhang:
Classification in Cryo-Electron Tomograms. 3DOR@Eurographics 2019: 49-54 - [c14]Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing, Min Xu:
Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. BIBM 2019: 1-6 - [c13]Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, Min Xu:
Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms. BIBM 2019: 6-11 - [c12]Siyuan Liu, Xuefeng Du, Rong Xi, Fuya Xu, Xiangrui Zeng, Bo Zhou, Min Xu:
Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier. BMVC 2019: 30 - [c11]Xuefeng Du, Xiangrui Zeng, Bo Zhou, Alex Singh, Min Xu:
Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss. BMVC 2019: 148 - [c10]Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu:
Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning. ICIAR (2) 2019: 333-344 - [c9]Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu:
Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. IJCNN 2019: 1-8 - [c8]Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing:
Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI 2019: 601-604 - [c7]Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing:
Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) 2019: 828-836 - [i10]Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu:
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. CoRR abs/1908.09993 (2019) - [i9]Xiangrui Zeng, Min Xu:
AITom: Open-source AI platform for cryo-electron Tomography data analysis. CoRR abs/1911.03044 (2019) - 2018
- [j3]Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu:
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification. Bioinform. 34(13): i227-i236 (2018) - [j2]Chengqian Che, Ruogu Lin, Xiangrui Zeng, Karim Elmaaroufi, John M. Galeotti, Min Xu:
Improved deep learning-based macromolecules structure classification from electron cryo-tomograms. Mach. Vis. Appl. 29(8): 1227-1236 (2018) - [c6]Bo Zhou, Qiang Guo, Kaiwen Wang, Xiangrui Zeng, Xin Gao, Min Xu:
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. BIBM 2018: 2467-2473 - [c5]Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. BMVC 2018: 130 - [c4]Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu:
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. BMVC 2018: 271 - [c3]JiaLiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu:
Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography. ICIAR 2018: 144-152 - [c2]Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu:
Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms. ICIP 2018: 1578-1582 - [c1]Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu:
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. MICCAI (1) 2018: 485-492 - [i8]Bo Zhou, Qiang Guo, Xiangrui Zeng, Min Xu:
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. CoRR abs/1801.10562 (2018) - [i7]JiaLiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu:
Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography. CoRR abs/1801.10597 (2018) - [i6]Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu:
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms. CoRR abs/1802.04087 (2018) - [i5]Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu:
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification. CoRR abs/1804.01203 (2018) - [i4]Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. CoRR abs/1805.04634 (2018) - [i3]Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu:
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. CoRR abs/1805.06332 (2018) - [i2]Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu:
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. CoRR abs/1806.00102 (2018) - 2017
- [j1]Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai, Eric P. Xing:
Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. Bioinform. 33(14): i13-i22 (2017) - [i1]Xiangrui Zeng, Miguel Ricardo Leung, Tzviya Zeev-Ben-Mordehai, Min Xu:
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation. CoRR abs/1706.04970 (2017)
Coauthor Index
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