Portrait of Hongzhi Li

Hongzhi Li

Senior Research SDE

About

Dr. Hongzhi Li a Senior Research SDE in Cloud Computing and Storage group at Microsoft Research. His research interests are mainly in machine intelligence areas, including multimodal content analysis, knowledge extraction and representation, pattern recognition and cloud based computing. His current research is focused on deep learning for visual intelligence and its applications on cloud computing platform.

Dr. Li received his PhD degree in Computer Science from Columbia University in 2016. Before that, He received his Bachelor and Master degree in Computer Science from Zhejiang University, China and Columbia University, US, in 2010 and 2012, receptively.

Dr. Li has published in ACM Multimedia, TMM, ICMR, EMNLP, NAACL, SPIE and other venues. He is the winner of grand challenge (first place) in ACM Multimedia 2012.

Dr. Li severed in program committee of major international conferences, including ACM MM, ICME, IJCAI, etc. He also severed as a reviewer in journals including IEEE TMM, IEEE TCSVT, TPAMI, JVCI, JVIS, etc.

Publications

Other

Hongzhi Li

Dr. Hongzhi Li a Senior Research SDE in Cloud Computing and Storage group at Microsoft Research. His research interests are mainly in machine intelligence areas, including multimodal content analysis, knowledge extraction and representation, pattern recognition and cloud based computing. His current research is focused on deep learning for visual intelligence and its applications on cloud computing platform.

Dr. Li received his PhD degree in Computer Science from Columbia University in 2016. Before that, He received his Bachelor and Master degree in Computer Science from Zhejiang University, China and Columbia University, US, in 2010 and 2012, receptively.

Dr. Li has published in ACM Multimedia, TMM, ICMR, EMNLP, NAACL, SPIE and other venues. He is the winner of grand challenge (first place) in ACM Multimedia 2012.

Dr. Li severed in program committee of major international conferences, including ACM MM, ICME, IJCAI, etc. He also severed as a reviewer in journals including IEEE TMM, IEEE TCSVT, TPAMI, JVCI, JVIS, etc.

Education


Columbia University, New York, US

Doctor of Philosophy (Ph.D.), Computer Science
2011 – 2016

Columbia University, New York, US

Master of Science (M.S.), Computer Science
2011 – 2013

Zhejiang University, Hangzhou, China

Bachelor of Engineering (B.E.), Computer Science
2006 – 2010

Research Projects


Personalized television news

Jul. 2012 – Sep. 2013 in DVMM lab, Columbia University

  • Magic Grant Project of the BROWN INSTITUTE FOR MEDIA INNOVATION
  • Bi-coastal research project with students from Stanford and Columbia University
  • In this project, we seek to develop and demonstrate a platform for personalized television news to replace the traditional one-broadcast-fits-all model. We forecast that next-generation video news consumption will be more personalized, device agnostic, and pooled from many different information sources.

Mobile Panorama View from Single Picture

Jul.2010 – Mar.2011 in Microsoft Research Asia

  • Generate panorama view in mobile device by taking one photo.
  • Developed a distributed image retrieval system to get an image collection related with user’s input photo. This image collection is used to build panorama view.
  • Parallel computation is used in the cloud to generate panorama view.
  • A predictive cache system is used to speed up panorama viewer in mobile client.

Mobile Experience Sharing through Automatic Multimedia Blogging

Mar.2010 – Jun.2010 in Microsoft Research Asia

  • A “mobile + cloud” system enabling rapid experience sharing through automatic blogging.
  • Based on multi-modal media content analyses and syntheses.
  • A paper and a demo published on ACM MM’10.

Image Based Tree Modeling and Growth Analysis

Jan.2010 – Jun.2010 (Bachelor’s Thesis, Zhejiang Univ.)

  • Estimate parameters of tree (i.e. height, diameter, etc.) by building a 3D tree model from video clip.
  • Using the method of 3D object surface reconstruction based on point cloud.
  • Build 3D branch model by manually tracking the key point in video.
  • Excellent Bachelor Thesis Award

Mobile Tour Guide

Jun.2009 – Oct.2009 in Microsoft Research Asia

  • A mobile application which can provide user rich information about the sight he is visiting by taking advantage of a database in the cloud and information from several sensors in mobile phone.

Work Experiences


Research Intern, Microsoft Research (Redmond)

Jun.2015 – Aug.2015

  • Research Area: Distribution computing platform

Research Intern, Microsoft Research (Redmond)

May.2014 – Aug.2014

  • Research Area: Distribution computing platform

Research Intern, Bell Laboratories

Jun.2012 – Aug.2012

  • Research Area: Human Action Recognition

Research Intern, Microsoft Research Asia

Jul.2009 – Jul.2011

  • Research Area: Multimedia retrieval, mobile computing, network, audio mixing, Large Scale Content-based Image Retrieval

Academic Services


  • Technical Program Committee Member:ACM International Conference on Multimedia 2014, International Conference on Multimedia and Expro, 2013, 2014
  • Journal Reviewer: IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology
  • Conference Reviewer: ACM Multimedia 2012

More Information

News

Talks

  • PhD Candidacy Exam, Jan. 2015 [slides]
  • ACM Multimedia 2014, Orlando, Florida, Nov. 2014 [slides]