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Junbo Duan
Life Science
Xi'an Jiaotong University
Shaanxi
Language: English, Chinese, French
Signal Processing
Image Analysis
Bioinformatics
Biomedical Engineering
Sparse Modeling
Compressive Sensing
Optimization
Matrix Computation
Data Analysis
Algorithm Development
Areas of Focus
- Signal & image processing
- Bioinformatics & biomedical engineering
- Sparse modeling & compressive sensing
- Optimization & matrix computation
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
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
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
