Zhao Qiuhan

Zhao Qiuhan

Ph.d candidate

The University of Tokyo

About Me

Here is Zhao Qiuhan, a Ph.d student belonging to Motohashi Laboratory, Department of Technology Management for Innovation ( TMI), supervised by Prof. Motohashi Kazuyuki. I mainly focus on Natural Language Processing, Data Science, and it’s application in Science Economy.

Hobby and Specialty: Table tennis, Singing, Football, Calligraphy and Go
Language: Chinese, English, Japanese

What's new

Apr.07, 2023: Our working paper about university’s impact on regional high-tech startups is avaliable at RIETI.

Sept.01, 2022: I join in Prof. Motohashi’s project in RIETI as a research assitant.

Jun.07, 2022: Our team’s works on OECD Hackathon for STI policy.

Apr.01, 2022: Starting Ph.d course.

Aug.15, 2021: Our paper has been published by journal IJWGS.

Interests

  • Natural Language Processing/Deep Learning
  • Data Science
  • Regional Economy
  • Knowledge Spillovers

Education

  • Ph.d, 2022- current

    School of Engineering, U.Tokyo

  • MS., 2017-2020

    School of Cyberspace Security, BUPT

  • BE., 2013-2017

    School of Computer Science, BUPT

Experience

Research and Intern

 
 
 
 
 

Research Assistant

Research Institute of Economy, Trade and Industry (RIETI)

Sep 2022 – Mar 2023 Tokyo
  • Empirical analysis about the impact of science activity for local entrepreneurship
  • A part of RIETI’s project by Prof. Motohashi
 
 
 
 
 

Preparatory

Preparatory School for Chinese Students to Japan, NENU

Oct 2020 – Aug 2021 Changchun
 
 
 
 
 

Intern

Beijing Institute of Science and Technology Information (BISTI)

Oct 2017 – Dec 2019 Beijing
  • Data Collection
  • Analysis of DL Algorithms
  • Modeling Evaluation in practical NLP problems
 
 
 
 
 

Graduate Student

Beijing University of Posts and Telecommunications

Sep 2017 – Jun 2020 Beijing
  • Collaborate with Beijing Institute of Science and Technology Information (BISTI) on NLP projects (refer to Projects part)
  • Master of Science in Engineering
  • Graduation Thesis (in Chinese):Discovery and Research of Frequent Item in Interdiscipline Based on Deep Learning [Outline] [Slide] (average score: 87 / 100)
 
 
 
 
 

Intern

China Information Technology Security Evaluation Center

Jan 2017 – Oct 2020 Beijing
  • Vulnerability Detection & Evaluation (CNNVD)
  • Data Analysing (Crawl and Data Science)
  • Patch
 
 
 
 
 

Intern

China Information Technology Security Evaluation Center

Jan 2017 – Oct 2020 Beijing
  • Vulnerability Detection & Evaluation (CNNVD)
  • Data Analysing (Crawl and Data Science)
  • Patch
 
 
 
 
 

Undergraduate Student

Beijing University of Posts and Telecommunications

Sep 2013 – Jun 2017 Beijing
  • Ye Peida Institute, BUPT (Top 1% student)
  • Bachelor of Engineering
  • Graduation Thesis (in Chinese): The Design and Implementation of Chaotic Compressive Sensing Algorithm [Outline] [Slide] [Paper_shortversion] (average score: 90 / 100, won the 2017 outstanding undergraduate thesis award)

Posts

Dairy and Idea

Reading Notes (chapter 1-5)

Global Business Strategy – Kazuyuki Motohashi
Reading Notes (chapter 1-5)

Thoughts on Organizing Old Photos

Essay
Thoughts on Organizing Old Photos

Something after Graduation

The plan and recent work after graduation
Something after Graduation

This is My New Blog

Introduction to the new blog
This is My New Blog

Projects

Projects in Lab

(Projects are all in Chinese)

Subject Domain Knowledge Composition and Prediction System

It improves the New Knowledge Discovery System and shows key documents in the development process by statistical method.
Subject Domain Knowledge Composition and Prediction System

Frontier Scientific Literature Scoring and Recommendation System

The project aims to solve the problem that literature viewers can’t find the most suitable and high-quality article quickly.
Frontier Scientific Literature Scoring and Recommendation System

Research and Design of New Knowledge Discovery System

The subject intends to find a new cross-disciplinary law by using text multi-label from the growing scientific literature.
Research and Design of New Knowledge Discovery System

E-book for "Plotly"

Finishing a page to make it easier to browse the drawing effects of each chapter in the book.
E-book for "Plotly"

Subject Domain Extraction and Classification Model

Aiming at the problem that the growing Chinese scientific and technological literature cannot be classified automatically.

Chinese Internet Text View Extraction Management Software

Designing a software to help the goverment quickly know appeals from the public.

Publications

Conference and Journal

(You can view more details about the paper and conference or journal via clicking the title. This part will be updated later….)

Contact

  • zhaoqiuhan2019@outlook.com
  • 7-chome-3 Hongo, Tokyo,
  • Room 210, Faculty of Engineering Bldg.3, Hongo Campus, U.Tokyo
  • Workday, 10:00 to 19:00