Min Xu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 77

Top Topics

Weakly Supervised

Medical Image Segmentation

Diabetic Retinopathy

Top Venues

Publications

Chentianye Xu, Xueying Zhan, Min Xu
CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders. CoRR (2024)
Yixing Lu, Zhaoxin Fan, Min Xu
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. MMM (2) (2024)
Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu
HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. CoRR (2024)
Zhaoxin Fan, Runmin Jiang, Junhao Wu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. CoRR (2024)
Mostofa Rafid Uddin, Min Xu
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization. CoRR (2024)
Shirley Kokane, Mostofa Rafid Uddin, Min Xu
Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates. CoRR (2024)
Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthelemy, Jun Shen, Min Xu
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. CoRR (2024)
Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu
Deep Active Learning with Noise Stability. AAAI (2024)
Zhaoxin Fan, Puquan Pan, Zeren Zhang, Ce Chen, Tianyang Wang, Siyang Zheng, Min Xu
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation. CoRR (2023)
Yixing Lu, Zhaoxin Fan, Min Xu
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. CoRR (2023)
Ziheng Duan, Yi Dai, Ahyeon Hwang, Cheyu Lee, Kaichi Xie, Chutong Xiao, Min Xu, Matthew J. Girgenti, Jing Zhang
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. PLoS Comput. Biol. 19 (9) (2023)
Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu
Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. Bioinform. 38 (4) (2022)
Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
Boosting Active Learning via Improving Test Performance. AAAI (2022)
Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu
Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access 10 (2022)
Tianyang Wang, Bo Li, Jing Zhang, Xiangrui Zeng, Mostofa Rafid Uddin, Wei Wu, Min Xu
Deep Active Learning for Cryo-Electron Tomography Classification. ICIP (2022)
Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, Min Xu
Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network. IEEE Access 10 (2022)
Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
Deep Active Learning with Noise Stability. CoRR (2022)
Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang
SHREC 2021: Classification in cryo-electron tomograms. CoRR (2022)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. 114 (2022)
Mostofa Rafid Uddin, Gregory Howe, Xiangrui Zeng, Min Xu
Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations. CVPR (2022)
Xiangrui Zeng, Ziqian Lin, Mostofa Rafid Uddin, Bo Zhou, Chao Cheng, Jing Zhang, Zachary Freyberg, Min Xu
Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series. J. Comput. Biol. 29 (8) (2022)
Shan Gao, Renmin Han, Xiangrui Zeng, Zhiyong Liu, Min Xu, Fa Zhang
Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Po Xing, Min Xu
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography. CoRR (2021)
Zhanlin Chen, Jing Zhang, Jason Liu, Yi Dai, Donghoon Lee, Martin Renqiang Min, Min Xu, Mark Gerstein
DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays. Bioinform. 37 (Supplement) (2021)
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 cryoelectron tomograms. Bioinform. 37 (2) (2021)
Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang
SHREC 2021: Classification in Cryo-electron Tomograms. 3DOR (2021)
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric P. Xing, Min Xu
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography. Bioinform. 37 (16) (2021)
Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu
Disentangling semantic features of macromolecules in Cryo-Electron Tomography. CoRR (2021)
Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. CoRR (2021)
Xiangrui Zeng, Gregory Howe, Min Xu
End-to-end robust joint unsupervised image alignment and clustering. ICCV (2021)
Mostofa Rafid Uddin, Ajmain Yasar Ahmed, Kafi Khan, Md Shahrar Fatemi, Xiangrui Zeng, Min Xu
Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning. AIPR (2021)
Xiaoyu Zhu, Jeffrey Chen, Xiangrui Zeng, Junwei Liang, Chengqi Li, Sinuo Liu, Sima Behpour, Min Xu
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. ICCV (2021)
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)
Ran Li, Liangyong Yu, Bo Zhou, Xiangrui Zeng, Zhenyu Wang, Xiaoyan Yang, Jing Zhang, Xin Gao, Rui Jiang, Min Xu
Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms. PLoS Comput. Biol. 16 (11) (2020)
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 (2020)
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. (13) (2020)
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 (2020)
Sinuo Liu, Yan Ma, Xiaojuan Ban, Xiangrui Zeng, Mohan Vamsi Nallapareddy, Ajinkya Chaudhari, Min Xu
Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2. BIBM (2020)
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 (2020)
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) (2020)
Yufeng Yang, Yixiao Ma, Jing Zhang, Xin Gao, Min Xu
AttPNet: Attention-Based Deep Neural Network for 3D Point Set Analysis. Sensors 20 (19) (2020)
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 (2020)
Xiangrui Zeng, Min Xu
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging. CVPR (2020)
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) (2020)
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) (2020)
Xiangrui Zeng, Min Xu
AITom: Open-source AI platform for cryo-electron Tomography data analysis. CoRR (2019)
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)
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)
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. (3) (2019)
Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu
Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. IJCNN (2019)
Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, Min Xu
Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms. BIBM (2019)
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) (2019)
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) (2019)
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)
Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing
Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) (2019)
Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. CoRR (2019)
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)
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)
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)
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) (2019)
Bo Zhou, Qiang Guo, Xiangrui Zeng, Min Xu
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. CoRR (2018)
Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. MICCAI (1) (2018)
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 (2018)
Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification. CoRR (2018)
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)
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)
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 (2018)
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)
Bo Zhou, Qiang Guo, Kaiwen Wang, Xiangrui Zeng, Xin Gao, Min Xu
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. BIBM (2018)
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) (2018)
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 (2018)
Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. CoRR (2018)
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 (2018)
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)
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) (2018)
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 (2017)
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) (2017)