Professor | 段君博 | 数字化转型顾问

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Name	段君博
Contact Information	Junbo.duan@mail.xjtu.edu.cn
Language ability	英语, 中文, 法语
Province	陕西

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Name

段君博

Contact Information

Junbo.duan@mail.xjtu.edu.cn

Language ability

英语, 中文, 法语

Province

陕西

University/Lab Affiliation and Title	西安交通大学
Faculty	Life Sciences
Academic Background & Achievements	2007.10 – 2010.11 博士: 亨利庞加莱大学 2004.09 – 2007.07 硕士: 西安交通大学 2000.09 – 2004.07 学士: 西安交通大学
Work Experience	2016.10 – 至今, 西安交通大学, 副教授 2013.11 – 2016.10, 西安交通大学, 助理教授 2011.02 – 2013.08, 杜兰大学, 博士后 2010.04 – 2010.10, 亨利庞加莱大学, 访问学者 2009.09 – 2009.10, 南特中央学院, 访问学者

University/Lab Affiliation and Title

西安交通大学

Faculty

Life Sciences

Academic Background & Achievements

2007.10 – 2010.11 博士: 亨利庞加莱大学
2004.09 – 2007.07 硕士: 西安交通大学
2000.09 – 2004.07 学士: 西安交通大学

Work Experience

2016.10 – 至今, 西安交通大学, 副教授
2013.11 – 2016.10, 西安交通大学, 助理教授
2011.02 – 2013.08, 杜兰大学, 博士后
2010.04 – 2010.10, 亨利庞加莱大学, 访问学者
2009.09 – 2009.10, 南特中央学院, 访问学者

Areas of Focus	信号与图像处理生物信息学与生物医学工程稀疏建模与压缩感知优化与矩阵计算
Publications	On the core segmentation algorithms of copy number variations detection tools, Y. Zhang, W. Liu, J. Duan, 2024 Comparative study of non-convex penalties and related algorithms in compressed sensing, F. Xu, J. Duan, W. Liu, 2023 HOPS: A fast algorithm for segmenting piecewise polynomials of arbitrary orders, J. Duan, Q. Wang, Y.-P. Wang, 2021 Smoothing of time-varying graph with the generalized LASSO, W. Liu, H. Yan, Q. Wang, N. Hu, N. Liu, F. Xu, J. Duan, 2021 Comparative study of whole exome sequencing-based copy number variation detection tools, L. Zhao, H. Liu, X. Yuan, K. Gao, J. Duan, 2020 SVSR: a program to simulate structural variations and generate sequencing reads for multiple platforms, X. Yuan, M. Gao, J. Bai, J. Duan, 2020 CONDEL: Detecting copy number variation and genotyping deletion zygosity from single tumor samples using sequence data, X. Yuan, J. Bai, J. Zhang, L. Yang, J. Duan, Y. Li, M. Gao, 2020 A parallelizable framework for segmenting piecewise signals, J. Duan, C. Soussen, D. Brie, J. Idier, Y.-P. Wang, M. Wan, 2019 A joint least squares and least absolute deviation model, J. Duan, J. Idier, Y.-P. Wang, M. Wan, 2019 Increasing axial resolution of ultrasonic imaging with a joint sparse representation model, J. Duan, H. Zhong, B. Jing, S. Zhang, M. Wan, 2016 Generalized lasso with under-determined regularization matrices, J. Duan, C. Soussen, D. Brie, J. Idier, M. Wan, Y.-P. Wang, 2016 A sparse model based detection of copy number variations from exome sequencing data, J. Duan, M. Wan, H.-W. Deng, Y.-P. Wang, 2016 Homotopy based algorithms for L0-regularized least-squares, C. Soussen, J. Idier, J. Duan, D. Brie, 2015 Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs, H. Cao, J. Duan, D. Lin, Y. Y. Shugart, V. Calhoun, Y.-P. Wang, 2014 Common copy number variation detection from multiple sequenced samples, J. Duan, H.-W. Deng, Y.-P. Wang, 2014 Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection method, H. Cao, J. Duan, D. Lin, V. Calhoun, Y.-P. Wang, 2013 CNV-TV: A robust method to discover copy number variation from short sequencing reads, J. Duan, J.-G. Zhang, H.-W. Deng, Y.-P. Wang, 2013 Comparative studies of copy number variation detection methods for next generation sequencing technologies, J. Duan, J.-G. Zhang, H.-W. Deng, Y.-P. Wang, 2013 On LARS/homotopy equivalence conditions for over-determined LASSO, J. Duan, C. Soussen, D. Brie, J. Idier, Y.-P. Wang, 2012 Automated force volume image processing for biological samples, P. Polyakov, C. Soussen, J. Duan, J. Duval, D. Brie, G. Francius, 2011 The next generation sequencing and applications in clinical research, J. Duan, X. Fu, J.-G. Zhang, Y.-P. Wang, H.-W. Deng, 2016 基于稀疏表达的超声成像及GPU并行计算, 段君博, 2019 R package: MSigSeg: Common Change Points Detection

Areas of Focus

信号与图像处理
生物信息学与生物医学工程
稀疏建模与压缩感知
优化与矩阵计算

Publications

On the core segmentation algorithms of copy number variations detection tools, Y. Zhang, W. Liu, J. Duan, 2024
Comparative study of non-convex penalties and related algorithms in compressed sensing, F. Xu, J. Duan, W. Liu, 2023
HOPS: A fast algorithm for segmenting piecewise polynomials of arbitrary orders, J. Duan, Q. Wang, Y.-P. Wang, 2021
Smoothing of time-varying graph with the generalized LASSO, W. Liu, H. Yan, Q. Wang, N. Hu, N. Liu, F. Xu, J. Duan, 2021
Comparative study of whole exome sequencing-based copy number variation detection tools, L. Zhao, H. Liu, X. Yuan, K. Gao, J. Duan, 2020
SVSR: a program to simulate structural variations and generate sequencing reads for multiple platforms, X. Yuan, M. Gao, J. Bai, J. Duan, 2020
CONDEL: Detecting copy number variation and genotyping deletion zygosity from single tumor samples using sequence data, X. Yuan, J. Bai, J. Zhang, L. Yang, J. Duan, Y. Li, M. Gao, 2020
A parallelizable framework for segmenting piecewise signals, J. Duan, C. Soussen, D. Brie, J. Idier, Y.-P. Wang, M. Wan, 2019
A joint least squares and least absolute deviation model, J. Duan, J. Idier, Y.-P. Wang, M. Wan, 2019
Increasing axial resolution of ultrasonic imaging with a joint sparse representation model, J. Duan, H. Zhong, B. Jing, S. Zhang, M. Wan, 2016
Generalized lasso with under-determined regularization matrices, J. Duan, C. Soussen, D. Brie, J. Idier, M. Wan, Y.-P. Wang, 2016
A sparse model based detection of copy number variations from exome sequencing data, J. Duan, M. Wan, H.-W. Deng, Y.-P. Wang, 2016
Homotopy based algorithms for L0-regularized least-squares, C. Soussen, J. Idier, J. Duan, D. Brie, 2015
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs, H. Cao, J. Duan, D. Lin, Y. Y. Shugart, V. Calhoun, Y.-P. Wang, 2014
Common copy number variation detection from multiple sequenced samples, J. Duan, H.-W. Deng, Y.-P. Wang, 2014
Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection method, H. Cao, J. Duan, D. Lin, V. Calhoun, Y.-P. Wang, 2013
CNV-TV: A robust method to discover copy number variation from short sequencing reads, J. Duan, J.-G. Zhang, H.-W. Deng, Y.-P. Wang, 2013
Comparative studies of copy number variation detection methods for next generation sequencing technologies, J. Duan, J.-G. Zhang, H.-W. Deng, Y.-P. Wang, 2013
On LARS/homotopy equivalence conditions for over-determined LASSO, J. Duan, C. Soussen, D. Brie, J. Idier, Y.-P. Wang, 2012
Automated force volume image processing for biological samples, P. Polyakov, C. Soussen, J. Duan, J. Duval, D. Brie, G. Francius, 2011
The next generation sequencing and applications in clinical research, J. Duan, X. Fu, J.-G. Zhang, Y.-P. Wang, H.-W. Deng, 2016
基于稀疏表达的超声成像及GPU并行计算, 段君博, 2019
R package: MSigSeg: Common Change Points Detection

信号处理图像分析生物信息学生物医学工程稀疏建模压缩感知优化矩阵计算数据分析算法开发

啜国晖 - 同济大学

蔡煜东 - 上海大学

刘建炜 - 中南大学

Area of Focus
医院 | 信息 | 管理 | 情报学 | 数据 | 结构 | 算法 | 生物信息学 | 医学 | 系统 | 分析 | 技术 | 研究 | 计算 | 编程 | 优化 | 复杂性 | 设计

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