Qing YU

PhD Student

About Me

Hi, my name’s Qing YU and I’m a PhD 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 Research Fellowships for Young Scientists (DC1) (2020-2023) and I was a recipient of The University of Tokyo Fellowship (2018-2020). I am most skilled in: Python and PyTorch

Publications

International Conferences

  • Qing Yu, Daiki Ikami, Go Irie and Kiyoharu Aizawa
    Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
    European Conference on Computer Vision (ECCV), 2020.

  • Qing Yu and Kiyoharu Aizawa
    Unknown Class Label Cleaning for Learning with Open-Set Noisy Labels
    IEEE International Conference on Image Processing (ICIP), 2020.

  • Jiafeng Mao, Qing Yu and Kiyoharu Aizawa
    Training Object Detectors with Noisy Localization Annotation
    IEEE International Conference on Image Processing (ICIP), 2020.

  • Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami and Kiyoharu Aizawa
    The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
    International Conference on Pattern Recognition (ICPR), 2020.

  • 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.

Journal

  • Qing Yu, Masashi Anzawa, Sosuke Amano and Kiyoharu Aizawa
    Personalized Food Image Classifier Considering Time-Dependent and Item-Dependent Food Distribution
    IEICE TRANS INF SYST, 2019.

Domestic
Conferences

  • Seven Papers

Experience

OMRON SINIC X

Research Intern

July 2019 - December 2019

Worked on Domain Adaptation.

Learn.AI

Teaching Assistant

April 2018 - March 2020

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

Kaggle Master

MIRU Best Student Paper

August 2019

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

PhD, Graduate School of Information Science and Technology

April 2020 - Present

The University of Tokyo

Master, Graduate School of Interdisciplinary Information Studies

April 2018 - March 2020

The University of Tokyo

Bachelor, 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