Bihan Wen


Graduate Student

Department of Electrical and Computer Engineering

University of Illinois at Urbana-Champaign

340 Coordinated Science Lab, 1308 W. Main Street, Urbana Illinois 61801

Email: bwen3 at illinois dot edu



  • Feb 08, 2016

  • Transform Learning codes are available in the Project Website with User Registration


  • Sep 16, 2015

  • Our Transform Learning Project Website is online, with all papers, presentation slides, and posters available



  • University of Illinois at Urbana-Champaign (UIUC), USA

  •      2012.8 - present, Master / PhD, Electrical and Computer Engineering (ECE)

         Supervised by Prof. Yoram Bresler

         Research Interests:

         Machine Learning

         Sparse Representation

         Big Data

         Image/Video Enhancement


  • Nanyang Technological University (NTU), Singapore

  •      2008.8 - 2012.6, Bachelor, Electrical and Electronic Engineering (EEE)

         Supervised by Prof. Yilong Lu, Prof. Meng-Joo Er




  •       S. Dev, B. Wen, Y-H Lee and S. Winkler, “Machine Learning Techniques and Applications for Ground-based Image Analysis,” summitted to IEEE Geoscience and Remote Sensing Magazine (GRSM), 2015.  


  •       B. Wen, S. Ravishankar and Y. Brelser, “Video Denoising by Online 3D Sparsifying Transform Learning,” to appear in Proc. IEEE Int. Conf. Image Processing (ICIP), 2015. Download


  •       S. Ravishankar, B. Wen and Y. Brelser, “Online Sparsifying Transform Learning – Part I: Algorithms,” IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2015.  LINK


  •       B. Wen, S. Ravishankar and Y. Brelser, “Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications,” International Journal of Computer Vision (IJCV), Springer, 2014.   LINK


  •       B. Wen, S. Ravishankar and Y. Brelser, “Learning Overcomplete Sparsifying Transforms with Block Cosparsity,” in Proc. IEEE Int. Conf. Image Processing (ICIP), 2014.  (10% Top Paper) LINK


  •       S. Ravishankar, B. Wen and Y. Brelser, “Online Sparsifying Transform Learning for Big Data Signal Processing,” in Proc. IEEE Global Conf. on Signal and Information Processing (Global SIP), 2014.  LINK


  •       B. Wen and Y. Lu, “A study of synthetic aperture radar imaging with compressed sensing,” in Proc. IEEE Asia-Pacific Conf. on Antennas and Propagation (APCAP), 2012.  LINK


  •       B. Wen and Y. Lu, “MATLAB tools for EnviSAT ASAR data visualization and image enhancement,” in Proc. SPIE Int. Symp. on Lidar and Radar Mapping Tech., 2011.  LINK



    Coordinated Science Lab


    2012. 8 – present

    I am working with Prof. Yoram Bresler on Sparsity and Machine Learning in Coordinated Science Lab (CSL). We developed novel sparse model (transform model) learning algorithm with state-of-the-art performances in image processing and large-scale data applications. We are working on structured sparse model learning for more computer vision and image processing applications. Patent and software toolbox (Matlab and C versions) will appear soon.

    Advancec Digital Science Center


    2015. 5 – 2015. 8

    I worked with Dr. Rama Ratnam and Dr. Stefan as intern in Advancec Digital Science Center (ADSC). I worked in the projects (i) Machine learning applications in remote sensing, and (ii) Image forgery detection using multi-model signal and data.

    ECE Department ECE 210


    2013. 1 – 2014.5

    I was the head teaching assistant for ECE 210 Analog Signal Processing under Prof. Erhan Kudeki. I teached in the weekly lab and provided office hours. It is the major course for ECE undergraduate students. I was nominated for Harold L. Olesen Award by the students.

    Nanyang Technological University

    2008. 8 – 2012. 6

    I received my B.S. degree from Nanyang Technological University (NTU), School of Electrical and Electronic Engineering (EEE) in Singapore. During the 4 years undergraduate study, I worked with Prof. Yilong Lu for synthetic aperture radar (SAR) data analysis research. I worked with Prof. Meng-Joo Er in surveillance robotic project.




    2011. 5 – 2011. 9

    I was a software engineer intern in Plunify. Plunify is a amazing start-up company providing cloud computing service (SaaS) for IC designers. I worked with start-up company building cloud computing platform for EDA designer using Java. The product served for up to 200 different organizations from more than 30 countries.

    Royal Institute of Technology


    2010. 7 – 2010.12

    I studied in Royal Institute of Technology (KTH) as exchange student in Sweden.

    Graduate Courses

    Machine Learning

    (ECE 490) Intro. to Optimization

    (ECE 544NA) Pattern Recognition

    (ECE 598) Statistical Learning Theory

    (CS 446) Machine Learning

    (IE 521) Convex Optimization

    Signal Processing

    (CS 483) Applied Parallel Programming

    (ECE 418) Image & Video Processing

    (ECE 513) Vector Space Signal Processing

    (ECE 544MD) DSP topics: Wavelet

    (ECE 513) Digital Signal Processing II



    (Math 447) Real Variables

    (ECE 534) Random Processes