Professor | Junbo Duan | Asia Growth Partners

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Name	Junbo Duan
Contact Information	Junbo.duan@mail.xjtu.edu.cn
Language ability	English, Chinese, French
Province	Shaanxi

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Name

Junbo Duan

Contact Information

Junbo.duan@mail.xjtu.edu.cn

Language ability

English, Chinese, French

Province

Shaanxi

University/Lab Affiliation and Title	Xi'an Jiaotong University
Faculty	Life Sciences
Academic Background & Achievements	2007.10 – 2010.11 Ph.D.: Université Henri Poincaré 2004.09 – 2007.07 M.Sc.: Xi'an Jiaotong University 2000.09 – 2004.07 B.Sc.: Xi'an Jiaotong University
Work Experience	2016.10 – present, Xi'an Jiaotong University, Associate Professor 2013.11 – 2016.10, Xi'an Jiaotong University, Assistant Professor 2011.02 – 2013.08, Tulane University, Post Doctorate 2010.04 – 2010.10, Université Henri Poincaré, Visiting Scholar 2009.09 – 2009.10, Ecole Centrale de Nantes, Visiting Scholar

University/Lab Affiliation and Title

Xi'an Jiaotong University

Faculty

Life Sciences

Academic Background & Achievements

2007.10 – 2010.11 Ph.D.: Université Henri Poincaré
2004.09 – 2007.07 M.Sc.: Xi'an Jiaotong University
2000.09 – 2004.07 B.Sc.: Xi'an Jiaotong University

Work Experience

2016.10 – present, Xi'an Jiaotong University, Associate Professor
2013.11 – 2016.10, Xi'an Jiaotong University, Assistant Professor
2011.02 – 2013.08, Tulane University, Post Doctorate
2010.04 – 2010.10, Université Henri Poincaré, Visiting Scholar
2009.09 – 2009.10, Ecole Centrale de Nantes, Visiting Scholar

Areas of Focus	Signal & image processing Bioinformatics & biomedical engineering Sparse modeling & compressive sensing Optimization & matrix computation
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 for Multiple Signals, X. Liu, J. Duan, 2023

Areas of Focus

Signal & image processing
Bioinformatics & biomedical engineering
Sparse modeling & compressive sensing
Optimization & matrix computation

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 for Multiple Signals, X. Liu, J. Duan, 2023

Signal Processing Image Analysis Bioinformatics Biomedical Engineering Sparse Modeling Compressive Sensing Optimization Matrix Computation Data Analysis Algorithm Development

Yong Zhang - Tongji University

Xiaocui Xu - Tongji University

Guohui Chuai - Tongji University

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