Qing YU

Master Student

About Me

Hi, my name’s Qing YU and I’m a M2 student at The University of Tokyo, Japan. I’m a member of Aizawa-Yamasaki Labratory and working with Prof. Kiyoharu Aizawa. My research interest is in Computer Vision, including Image Recognition, Open-set Recognition and Classifier Adaption. I’m a recipient of The University of Tokyo Fellowship (2018-2020).
I am most skilled in: Python and PyTorch

Publications

International Conferences

  • Qing Yu and Kiyoharu Aizawa
    Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
    IEEE International Conference on Computer Vision (ICCV), 2019.
  • Qing Yu, Masashi Anzawa, Sosuke Amano, Makoto Ogawa and Kiyoharu Aizawa
    Food Image Recognition by Personalized Classifier
    IEEE International Conference on Image Processing (ICIP), 2018.

Domestic
Conferences

  • Qing Yu and Kiyoharu Aizawa
    Classifier Discrepancy Maximization for Unsupervised Out-of-Distribution Detection
    Meeting on Image Recognition and Understanding (MIRU), 2019.

  • Qing Yu, Masashi Anzawa, Sosuke Amano, Makoto Ogawa and Kiyoharu Aizawa
    Personalized Food Image Recognition
    Meeting on Image Recognition and Understanding (MIRU), 2018.

  • Qing Yu, Masashi Anzawa, Sosuke Amano, Toshihiko Yamasaki, Kiyoharu Aizawa and Makoto Ogawa
    Personalized Food Classifier Adaptation to Time-Dependent Food Distribution
    IEICE General Conference, 2018.

  • Qing Yu, Masashi Anzawa, Sosuke Amano, Toshihiko Yamasaki, Kiyoharu Aizawa and Makoto Ogawa
    Food Image Recognition Based on Deep Feature Considering Time and Distributed Representation
    ITE Winter Annual Convention, 2017.

Experience

OMRON SINIC X

Research Intern

July 2019 - Present

Working on Vision and Language.

Learn.AI

Teaching Assistant

April 2018 - Present

An open course at UTokyo which offers the basics of CS and AI including deep learning.

priceless Inc.

Software Engineer

May 2016 - Present

Deep Learning application development.

Microsoft Development

Software Engineer Intern

August 2018 - September 2018

Worked with Rinna Team.

Awards

Data Science Challenge by FUJIFILM AI Academy Brain(s) Champion

July 2019

An OCR competition.
Prize: X Series FUJIFILM X100F
[Detail]

The 1st Tellus Satellite Challenge Champion

December 2018

A landslide detection competition.
Prize: 1,000,000 JPY
[Detail]

AIST Satellite Image Analysis Contest Champion

April 2018

A golf course detection competition.
Prize: 300,000 JPY
[Detail] / [Slide]

JSAI Cup 2018 Champion

March 2018

A food ingredient image classification competition.
Prize: 500,000 JPY
[Detail] / [Slide]

Education

The University of Tokyo

Master of Advanced Studies, Graduate School of Interdisciplinary Information Studies

April 2018 - Present

The University of Tokyo

Bachelor of Engineering, Department of Information and Communication

April 2014 - March 2018

Gyosei International High School (Chiba, Japan)

October 2011 - March 2014

High School Affiliated to Fudan University (Shanghai, China)

September 2010 - October 2011

A Little More About Me

Alongside my research interests, some of my other interests and hobbies are:

  • Basketball
  • Animation
  • Movie
  • Dota2