Qin Jin

Qin Jin Email and Phone Number

Professor @ Renmin University of China
Beijing, China
Qin Jin's Location
Chaoyang District, Beijing, China, China
Qin Jin's Contact Details

Qin Jin personal email

n/a
About Qin Jin

Qin Jin is a full professor at Computer Science Department of Renmin University of China, directing the AIM3 lab (http://jin-qin.com/). Her research interests are in multimedia content analysis, human computer interaction and machine learning in general.

Qin Jin's Current Company Details
Renmin University of China

Renmin University Of China

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Professor
Beijing, China
Website:
ruc.edu.cn
Employees:
2819
Qin Jin Work Experience Details
  • Renmin University Of China
    Professor
    Renmin University Of China
    Beijing, China
    View
  • Renmin University Of China
    Professor
    Renmin University Of China Jan 2013 - Present
    Research & Teaching
    View
  • Ibm China Research Lab
    Research Scientist
    Ibm China Research Lab Apr 2012 - Dec 2012
    Beijing, China
  • Language Technologies Institute, Carnegie Mellon University
    Research Faculty
    Language Technologies Institute, Carnegie Mellon University Feb 2007 - Mar 2012
    Pittsburgh, Pa, Usa

Qin Jin Skills

Machine Learning Pattern Recognition Algorithms Natural Language Processing Computer Science Artificial Intelligence Signal Processing Information Retrieval Speech Recognition Computational Linguistics Computer Vision Data Mining Python C Perl Matlab Image Processing Latex Statistics Machine Translation Information Extraction

Qin Jin Education Details

Frequently Asked Questions about Qin Jin

What company does Qin Jin work for?

Qin Jin works for Renmin University Of China

What is Qin Jin's role at the current company?

Qin Jin's current role is Professor.

What is Qin Jin's email address?

Qin Jin's email address is qj****@****cmu.edu

What schools did Qin Jin attend?

Qin Jin attended Carnegie Mellon University, Tsinghua University.

What skills is Qin Jin known for?

Qin Jin has skills like Machine Learning, Pattern Recognition, Algorithms, Natural Language Processing, Computer Science, Artificial Intelligence, Signal Processing, Information Retrieval, Speech Recognition, Computational Linguistics, Computer Vision, Data Mining.

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