URCS Banner
 


Photo Professor Jiebo Luo
Albert Arendt Hopeman Professor

Department of Computer Science
3101 Wegmans Hall 
University of Rochester
Rochester, NY 14627


Email: username -at- domain.edu
where username = jluo,
domain = cs.rochester.edu


Phone: 585-276-5784
Prospective Students
Computer Vision Urban Computing
Health/Wellness Analytics
Image Retrieval Image Segmentation
Scene Classification Big Data
Contextual Inference Machine
Learning  Vision+Language
Random Field Photo Collection
Multimedia    Video Analytics
Human-Centered Media & Interaction
Mobile Media Location-based service
Geo Tagging  Action Recognition
Heterogeneous Information Networks
Social Multimedia  Data Mining
Crowdsourcing 360D User Profiling
 

       www.cs.rochester.edu/u/jluo/#Service      

News







                   
                    Scan QR Code via WeChat 
                    to follow Official Account





 


Biography

Jiebo Luo joined the University of Rochester in Fall 2011 after over fifteen prolific years at Kodak Research Laboratories, where he was a Senior Principal Scientist leading research and advanced development. He has been involved in numerous technical conferences, including serving as the program co-chair of ACM Multimedia 2010, IEEE CVPR 2012 and IEEE ICIP 2017. He has served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Intelligent Systems and Technology, Pattern Recognition, Machine Vision and Applications, and Journal of Electronic Imaging.  Dr. Luo served as the Editor-in-Chief of the IEEE Transactions on Multimedia for the 2020-2022 term. Dr. Luo is a Fellow of ACM, AAAI, IEEE, IAPR, and SPIE.
                    

His research spans image processing, computer vision, machine learning, data mining, social media, computational social science, and digital health. He is a pioneer for contextual inference in semantic understanding of visual data and social multimedia data mining. He has published extensively in these fields with over 600 peer-reviewed technical papers and over 90 US patents. His Google Scholar h-index is currently 117. His research has been supported by federal and state agencies including NSF, NIH, ONR, and New York State CoE, as well as various corporate and foundation sponsors.


Teaching


Major Professional Services


Books



    


Selected Recent Publications (Publications listed more comprehensively by DBLP)

My CitationsScholar Home


surveys

computer vision, NLP and media understanding

    2023

    2022
 
    
2021

      2020

      2019

     2018

      2017
      2016
      2015
      2010-2014

machine learning

      2023

      2022


      2021

    2020

      2019

      2018


      2017

      2016
      2015
      2010-2014

web and social media data mining

      2023

      2022


     2021

     2020
 
     2019

      2018


      2017       2016
      2015
      2010-2014

biomedical analytics and health informatics

    2023

    2022


    2021

    2020

     2019

      2018

  
      2017

      2016

      2015

      Pre-2015

human computer interaction

mobile and pervasive computing

 

 



Pixels and Patches (Bits and Bytes)


Pictures (Featured Big Picture Talks)

 

Resources


ACM DL   IEEE Xplore   SpringerLink
cvpapers
   




Research Themes [for example projects, check my PhD students' homepages]


VIStA Research Group Members:

Visiting Researchers

    
Prof. Jinsong Su
(Xiamen University)

PhD Students

                          
Yuncheng Li             Quanzeng You
(Snapchat Research 2017-2019)  (Microsoft Research AI, 2017-2023)
(Google Brain, 2019- ) 
             (Tiktok, 2023- )   


                                    
 Tianran Hu                 Jianbo Yuan
(College of William & Mary)       (Amazon - AWS, 2019-2021)                                                   
                                                   (Tiktok
, 2021- )  
 
                                                   
Yu Wang (PSC)            Yang Feng          Haofu Liao 
(Apple Siri, Pinterest)                        (Goolge Cloud)                       (Amazon - AWS)       
 
 
                           
  Tianlang Chen
     Zhengyuan Yang
 (Amazon - AWS)          (Microsoft Research)

 
 
                          
     Wei Xiong
              Weijian Li  
  (Adobe Photoshop)          (Amazon Go)           

                                                                                    

  Songyang Zhang           
            
  Songyang Zhang
       Wei Zhu         Haitian Zheng
(Amazon Research)       (Amazon Research)        (Adobe Research)
          
                                  
          Jie An                         Zhaoyi Wan                     Hang Hua

 

      Hanjia Lyu

          
               

      Jingyang Lin                  Yuan Yao


                           

      Daoan Zhang                  Jinfa Huang                     Yongsheng Yu

 

Visiting PhD Students
                                           
    Mingkun Yang                          


MS Students

Undergraduate Students


Alumni


 

Prospective PhD Students

I'm always looking for self-motivated students and usually recruit two new PhD students per year. Applicants are expected to have strong skills in both programming and mathematics, as well as research experience in closely related areas. Grades alone won't cut it. "I worked on a gazillion of projects" (but have no evidence) is a no-no. Research publications in ranked venues of computer vision, machine learning, or data mining is a plus (and the only reason you need to contact me directly). Sorry but generic spams will be ignored.

To apply, check
http://www.cs.rochester.edu/graduate/phd-program.


Visiting Students

I normally have two to three self-funded visiting student positions per year. I do not provide any paid visiting or postdoc positions, and I do not consider any visits shorter than 3 months. It is expected that you have some minimum prior research experience. A recommendation letter via email directly from your research advisor is needed, if you have not personally met me.

Current UR Students

Current UR students (undergraduate or MS) interested in working with me are welcome to stop by my office during my office hours (see the posting outside my office). It is desirable that you have taken a course with me prior to starting any research in my lab. A resume through email in advance is recommended as opposed to a cold knock on the door.


Reference Letter Seekers

You must have your advisor/mentor vouch for you, if you have not personally worked with me. If you intend to work in my lab, producing meaningful or publishable results is the essence for the reference letter as a generic letter stating that you
worked in my lab would not help your graduate school application.

Internship Seekers

In general, we do not host summer interns unless there is a preexisting arrangement, or you have prior research product(s) to validate your seriousness.
 

Why URCS?

The University of Rochester is a private institution that was founded in 1850. It is one of the smallest and most collegiate schools among the nation's top research universities. According to US News and World Report 2019, the University of Rochester's ranking in the Best National Universities is 29th. It is also one of only 25 schools named a "New Ivy" in the 2007 Kaplan/Newsweek "How to Get into College Guide".

The Department of Computer Science at the University of Rochester is a research-oriented department with a distinguished history of contributions in systems, theory, artificial intelligence, and HCI. Historically, a third of its PhD graduates have received tenure-track faculty positions, and its alumni include prominent leaders at major research laboratories such as Google, Microsoft, and IBM.



Research is a Journey not for the Faint-hearted

Do you have what it takes to be a successful PhD student? The initial threshold is 4 out of 7 and I hope you have all 7 at graduation.


Curious how I evalaute students?

Be the best you can be
. You can be the best.


Battle Hymns

Hall of Fame (The Script)


Thumbnail

Exchange

Prof. Eckehard Steinbach  (08/29/2013)


Prof. Honglak Lee
(10/14/2013)


Prof.
Ruslan Salakhutdinov (10/17/2013)


Prof. Bill Freeman (10/25/2013)


Prof. James Rehg (10/02/2014)


Free access and statistics provided by the ACM Digital Library

Back to the top