Difference between revisions of "Yenting Lin"

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== Yenting (Greg) Lin ==
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Yenting (Greg) Lin ''[http://biron.usc.edu/~yenting/papers/CV_02_2013_Yenting.pdf <small><b>(CV)</b></small>]''
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''[http://biron.usc.edu/~yenting/papers/YENTING_LIN_data_scientist_07_2013.docx <small><b>(Resume)</b></small>]'' ''[http://scholar.google.com/citations?user=VB6LAlgAAAAJ&hl=en <small><b>(Google Scholar)</b></small>]'' ''[http://www.linkedin.com/pub/yenting-lin/4a/382/ab1  <small><b>(LinkedIn)</b></small>]''
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[[File:Yenting.jpg|thumb|alt=caption|150px|Yenting Lin]]
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* I finish my Ph.D. in Aug. 2013. Now I lead the Data Science/Machine learning group in Supplyframe [http://www.supplyframe.com/].
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* E-mail: ''[mailto:yenting0322@gmail.com yenting0322@gmail.com]''
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== Summary ==
  
<!--
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* Experienced in Information Retrieval and Ranking for electronic part search. Managed a team in Supplyframe responsible for user behavior modeling, price estimation, and retrieving of Findchips [http://www.findchips.com/] entities.
''[http://biron.usc.edu/~sungwonl/SungwonLee_CV_Dec_7_2012.pdf <small><b>(CV)</b></small>]'' ''[http://scholar.google.com/citations?user=TRQXFW0AAAAJ&hl=en <small><b>(Google Scholar)</b></small>]'' ''[http://www.linkedin.com/in/sungwonl <small><b>(LinkedIn)</b></small>]'' ==
 
  
http://biron.usc.edu/yenting/
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* Experienced in Distributed Systems and Massive Data Processing. We use Python and Spark to run large scale machine learning/data processing.  
  
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* Industrial Software Development skills with Python, Java and Scala.
  
[[File:Yenting.jpg|thumb|alt=caption|150px|Yenting Lin]]
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* Advanced Knowledge on Signal Processing, Image Processing and Applied Mathematics. Have awarded 2 patterns, published 6 conference papers and 1 journal paper (under review).  
  
*Ph.D. Candidate (expect graduation: May 2013)
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* Specialties: User behavior modeling, Distributed System, Statistics, Optimization, Signal Processing
  
:Advisor: ''[http://sipi.usc.edu/~ortega Antonio Ortega]''
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== Professional Experience ==
::''[http://sipi.usc.edu Signal and Image Processing Institute]''
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*'''Lead Data Scientist/Machine learning engineer''', Supplyframe [http://www.supplyframe.com/], ''Nov. 2013 - Now''
::''[http://ee.usc.edu/ Ming Hsieh Electrical Engineering Department]''
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** Lead a group of Data Science Engineers to deliver solutions that model the website traffic and user behavior. We build recommendation system by showing relevant parts based on users' intent, context & behavior.
::''[http://www.usc.edu/ University of Southern California]''
 
  
*Address: 3740 McClintock Ave., EEB 441, Los Angeles, CA 90089-2564 ''[https://maps.google.com/maps?q=3740+McClintock+Ave.,+EEB+441,+Los+Angeles,+CA+90089-2564&hl=en&sll=33.998027,-118.412018&sspn=0.954087,1.058807&hq=3740+McClintock+Ave.,+EEB+441,+Los+Angeles,+CA+90089-2564&t=m&z=15 Google Map]''
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*'''Summer Research Intern''', Ricoh innovation[http://rii.ricoh.com/], ''May 2012 - Aug. 2012''
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**Developed novel 3D image processing algorithms for plenoptic camera (1 patent and 1 conference paper are published).
  
*Telephone: (213)-740-4655
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*'''Summer Research Intern''', Cisoft [http://cisoft.usc.edu/], ''May 2011 - Aug. 2011''
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**Run a field trial on research work to detect geophysical structure discontinuity in an oil field (1 patent is awarded).
  
*E-mail: ''[mailto:yenting0322@gmail.com yenting0322@gmail.com], [mailto:yenting@usc.edu yenting@usc.edu]''
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*'''Second Lieutenant''', Taiwan Armed Forces, ''July 2002 - Feb. 2004''
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**Lead the development team for C4ISR
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== Programming skills ==
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Python, Java, Scala, Spark, MapReduce, Hadoop.
  
 
== Research Interests ==
 
== Research Interests ==
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**Group testing for automatic well-testing system
 
**Group testing for automatic well-testing system
 
***Develop a novel algorithm to increase the production well-testing frequency up to 70% without changing any hardware.
 
***Develop a novel algorithm to increase the production well-testing frequency up to 70% without changing any hardware.
**Discrete X-ray tomography
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**Discrete X-ray tomography***Reconstruction of high contrast X-ray image (e.g., Angiography) with reduced radiation up to 90%.
***Reconstruction of high contrast X-ray image (e.g., Angiography) with reduced radiation up to 90%.
 
 
**Underwater acoustic tomography
 
**Underwater acoustic tomography
 
***Reduce the variance of estimate travel time in an noisy underwater environment up to 50%.
 
***Reduce the variance of estimate travel time in an noisy underwater environment up to 50%.
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*'''Teaching Assistant''', ''Aug. 2006- May 2007''  
 
*'''Teaching Assistant''', ''Aug. 2006- May 2007''  
 
**Communication theory
 
**Communication theory
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***Lectured Communication theory discussion session for groups of 30 students, 1 hours/week (2 semesters)
 
***Lectured Communication theory discussion session for groups of 30 students, 1 hours/week (2 semesters)
  
== Professional Experience ==
 
  
*'''Summer Research Intern''', ''May 2012 - Aug. 2012''
 
**Employer: [http://www.rii.ricoh.com/ Computation Optics & Visual Processing Group, Ricoh innovation, Menlo Park, CA]
 
**Contribution:
 
***Developed new image processing algorithms for plenoptic camera (1 patent and 1 conference paper are submitted).
 
  
*'''Summer Research Intern''', ''May 2011 - Aug. 2011''
 
**Employer: [http://cisoft.usc.edu/ CiSoft, a joint center of Chevron and USC, Los Angeles, CA]
 
**Contribution:
 
***Design and apply the my high contrast tomographic reconstruction algorithm to detect geophysical structure discontinuity in an oil field (1 patent is submitted).
 
  
*Jun. 2002 to Feb. 2004 Military Service in Taiwan Army as Second Lieutenant
 
**Contribution:
 
***Manage and maintain the military combat communication network.
 
***Lead the development team for C4ISR
 
  
== Skills / Tools ==
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== Publications ==
*Proficient in C/C++, Matlab.
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<ul>
*Good knowledge of Mathematical optimization.
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<li> '''Y. Lin''' and A. Ortega, <i>“Object-based high contrast travel time tomography”</i>, under review for SEG Geophysics, arXiv 1303.3052.
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[http://arxiv.org/abs/1303.3052 <small> <b>Link</b></small>]
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</ul>
  
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<ul>
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<li> '''Y. Lin''', Ivana Tosic and Kathrin Berkner, <i> “Occlusion-aware layered scene recovery from light fields”</i>, to appear in International Conference on Image Processing (ICIP 2013), Melbourne, Australia, September 2013.
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</ul>
  
 
== Conference Publications ==
 
 
<ul>
 
<ul>
 
<li> '''Y. Lin''' and A. Ortega, <i>"Group Testing: A Novel Approach To Increase The
 
<li> '''Y. Lin''' and A. Ortega, <i>"Group Testing: A Novel Approach To Increase The
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<ul>
 
<ul>
 
<li> '''Y. Lin''', A. Ortega, T. Tafti, and I. Ershaghi, <i>"Detecting shale discontinuity between different layers using water-flood tomography"</i>, in SPE Western Regional Meeting, Bakersfield, March 2012.
 
<li> '''Y. Lin''', A. Ortega, T. Tafti, and I. Ershaghi, <i>"Detecting shale discontinuity between different layers using water-flood tomography"</i>, in SPE Western Regional Meeting, Bakersfield, March 2012.
[http://www.onepetro.org/mslib/app/Preview.do?paperNumber=SPE-154724-MS&societyCode=SPE
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[http://www.onepetro.org/mslib/app/Preview.do?paperNumber=SPE-154724-MS&societyCode=SPE <small><b>Link</b></small>]
<small><b>Link</b></small>]</ul>
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</ul>
  
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<ul>
 
<li> '''Y. Lin''', A. Ortega, and A. Dimakis, <i>"Level estimation for sparse reconstruction in discrete tomography"</i>, in Proceedings of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2011), Pacific Grove, November 2011.
 
<li> '''Y. Lin''', A. Ortega, and A. Dimakis, <i>"Level estimation for sparse reconstruction in discrete tomography"</i>, in Proceedings of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2011), Pacific Grove, November 2011.
 
[http://biron.usc.edu/~yenting/papers/Asilomar_2011_yenting.pdf <small><b>PDF format</b></small>]</ul>
 
[http://biron.usc.edu/~yenting/papers/Asilomar_2011_yenting.pdf <small><b>PDF format</b></small>]</ul>
  
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<ul>
 
<li> '''Y. Lin''', A. Ortega, and A. Dimakis, <i>"Sparse recovery for discrete tomography"</i>, in Proceedings of International Conference on Image Processing (ICIP 2010), Hong Kong, September 2010.
 
<li> '''Y. Lin''', A. Ortega, and A. Dimakis, <i>"Sparse recovery for discrete tomography"</i>, in Proceedings of International Conference on Image Processing (ICIP 2010), Hong Kong, September 2010.
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[http://biron.usc.edu/~yenting/papers/ICIP_2010_yenting.pdf <small><b>PDF format</b></small>]
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</ul>
  
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<ul>
 
<li> '''Y. Lin''', A. Ortega, A. Nejad, and I. Ershaghi, <i>"Waterfood tomography: mapping high contrast permeability structures using injection/production data"</i>, in SPE Western Regional Meeting, Anaheim, May 2010.
 
<li> '''Y. Lin''', A. Ortega, A. Nejad, and I. Ershaghi, <i>"Waterfood tomography: mapping high contrast permeability structures using injection/production data"</i>, in SPE Western Regional Meeting, Anaheim, May 2010.
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[http://www.onepetro.org/mslib/app/Preview.do?paperNumber=SPE-132699-MS&societyCode=SPE <small><b>Link</b></small>]
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</ul>
  
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<ul>
 
<li> '''Y. Lin''' and A. Ortega, <i>"Reconstruction algorithm for high contrast velocity travel time tomography"</i>, in Proceedings of International Conference on Acoustics Speech and Signal Processing (ICASSP 2010), Dallas, March 2010.
 
<li> '''Y. Lin''' and A. Ortega, <i>"Reconstruction algorithm for high contrast velocity travel time tomography"</i>, in Proceedings of International Conference on Acoustics Speech and Signal Processing (ICASSP 2010), Dallas, March 2010.
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[http://biron.usc.edu/~yenting/papers/ICASSP_2010_yenting.pdf <small><b>PDF format</b></small>]
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</ul>

Latest revision as of 14:02, 26 October 2015

Yenting (Greg) Lin (CV) (Resume) (Google Scholar) (LinkedIn)

caption
Yenting Lin
  • I finish my Ph.D. in Aug. 2013. Now I lead the Data Science/Machine learning group in Supplyframe [1].
  • E-mail: yenting0322@gmail.com

Summary

  • Experienced in Information Retrieval and Ranking for electronic part search. Managed a team in Supplyframe responsible for user behavior modeling, price estimation, and retrieving of Findchips [2] entities.
  • Experienced in Distributed Systems and Massive Data Processing. We use Python and Spark to run large scale machine learning/data processing.
  • Industrial Software Development skills with Python, Java and Scala.
  • Advanced Knowledge on Signal Processing, Image Processing and Applied Mathematics. Have awarded 2 patterns, published 6 conference papers and 1 journal paper (under review).
  • Specialties: User behavior modeling, Distributed System, Statistics, Optimization, Signal Processing

Professional Experience

  • Lead Data Scientist/Machine learning engineer, Supplyframe [3], Nov. 2013 - Now
    • Lead a group of Data Science Engineers to deliver solutions that model the website traffic and user behavior. We build recommendation system by showing relevant parts based on users' intent, context & behavior.
  • Summer Research Intern, Ricoh innovation[4], May 2012 - Aug. 2012
    • Developed novel 3D image processing algorithms for plenoptic camera (1 patent and 1 conference paper are published).
  • Summer Research Intern, Cisoft [5], May 2011 - Aug. 2011
    • Run a field trial on research work to detect geophysical structure discontinuity in an oil field (1 patent is awarded).
  • Second Lieutenant, Taiwan Armed Forces, July 2002 - Feb. 2004
    • Lead the development team for C4ISR

Programming skills

Python, Java, Scala, Spark, MapReduce, Hadoop.

Research Interests

My research interest is to recover the low-dimensional structure from sparse (incomplete, corrupted) observations, and apply them to solve problems in signal processing (reservoir modeling and 3D object reconstruction)

  • Transmission tomography for high contrast structures
  • Compressive sensing and sparse structure exploitation in tight, unconventional reservoir
  • Sparse reconstruction for X-Ray discrete tomography
  • Group testing for well production measuring
  • Signal processing for plenoptic camera

Education

  • Sep. 2006-present: University of Southern California, Los Angeles, CA
    • Ph.D. student, Department of Electrical Engineering-Systems
  • Sep. 2004-May. 2006: University of Southern California, Los Angeles, CA
    • Master of Science, Department of Electrical Engineering-Systems
  • Sep. 1997-May. 2001: National Taiwan University, Taipei, Taiwan
    • Bachelor of Science in Engineering, School of Electrical Engineering and Computer Science

Academic Experience

  • Research Assistant, Sep. 2007 - Present
    • Travel time tomography for high contrast media with sparse data
      • Develop algorithms to detect the high contrast structure with sparse water injection and oil production data.
    • Group testing for automatic well-testing system
      • Develop a novel algorithm to increase the production well-testing frequency up to 70% without changing any hardware.
    • Discrete X-ray tomography***Reconstruction of high contrast X-ray image (e.g., Angiography) with reduced radiation up to 90%.
    • Underwater acoustic tomography
      • Reduce the variance of estimate travel time in an noisy underwater environment up to 50%.
  • Teaching Assistant, Aug. 2006- May 2007
    • Communication theory
      • Lectured Communication theory discussion session for groups of 30 students, 1 hours/week (2 semesters)



Publications

  • Y. Lin and A. Ortega, “Object-based high contrast travel time tomography”, under review for SEG Geophysics, arXiv 1303.3052. Link
  • Y. Lin, Ivana Tosic and Kathrin Berkner, “Occlusion-aware layered scene recovery from light fields”, to appear in International Conference on Image Processing (ICIP 2013), Melbourne, Australia, September 2013.
  • Y. Lin and A. Ortega, "Group Testing: A Novel Approach To Increase The Effective Frequency Or Accuracy Of Well-tests Without Increasing Infrastructure Costs", to appear in SPE Western Regional Meeting, Monterey, April 2013.
  • Y. Lin, A. Ortega, T. Tafti, and I. Ershaghi, "Detecting shale discontinuity between different layers using water-flood tomography", in SPE Western Regional Meeting, Bakersfield, March 2012. Link
  • Y. Lin, A. Ortega, and A. Dimakis, "Level estimation for sparse reconstruction in discrete tomography", in Proceedings of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2011), Pacific Grove, November 2011. PDF format
  • Y. Lin, A. Ortega, and A. Dimakis, "Sparse recovery for discrete tomography", in Proceedings of International Conference on Image Processing (ICIP 2010), Hong Kong, September 2010. PDF format
  • Y. Lin, A. Ortega, A. Nejad, and I. Ershaghi, "Waterfood tomography: mapping high contrast permeability structures using injection/production data", in SPE Western Regional Meeting, Anaheim, May 2010. Link
  • Y. Lin and A. Ortega, "Reconstruction algorithm for high contrast velocity travel time tomography", in Proceedings of International Conference on Acoustics Speech and Signal Processing (ICASSP 2010), Dallas, March 2010. PDF format