yiwen_xing

Yiwen Xing


Biography


Yiwen Xing is currently a PhD candidate in Computer Science at King's College London. She holds a Master of Science degree in Data Science from the same institution, achieving a distinction grade. Prior to that, she earned dual Bachelor of Science degrees in Statistics and Applied Psychology from East China Normal University.

Yiwen possesses a robust background in Statistics and Data Science, with extensive experience in data analysis and visualization across various domains. She is proficient in both front-end and back-end programming techniques and is adept at developing lightweight web applications.

Her research interests encompass Data Visualization, Human-Computer Interaction, and Data Science.

Outside of her academic pursuits, Yiwen is a passionate Pokémon enthusiast. She has a profound love for travel, collecting postcards and magnets from cities around the world. Additionally, she can play the piano and has a broad appreciation of music, though not particularly for jazz. Yiwen also enjoys puzzle games and immerses herself in the expansive worlds of open-world games. Her favorite beverage is Matcha Latte.


Skills: Python, R, SQL, HTML, CSS, JavaScripts, D3.js, Tableau
Languages: English, Mandarin

divider

Education

2020-2024

King's College London (UK) - PhD in Computer Science

Research Topic: Design and Evaluation Study - Conducting Visualization System on Humanities Data and Summarizing Guidelines for Extension to Wider Domains

2019-2020

King's College London (UK) - MSc in Data Science

Pass with Distinction

2015-2019

East China Normal University (China) - BSc in Statistics

East China Normal University (China) - BSc in Applied Psychology [second major]

Research

2021-2023
PhD Project

Visualizing Historical Book Movement

Conducted design and evaluation studies with close collaboration with the historical book researchers on the book trade data from the MEI database. Employed different visualization techniques and implemented applications to provide support and inspiration for historical research. All the visualisation tools and prototypes we developed in relation to the project are included under the BookTracker platform.

Related Research Outputs:
  • Visualizing Historical Book Trade Data: An Iterative Design Study with Close Collaboration with Domain Experts [link]
    Xing, Y., Dondi, C., Borgo, R. & Abdul-Rahman, A., 27 Jul 2023, (Accepted/In press) IEEE VIS 2023.
  • Unveiling the Dispersal of Historical Books from Religious Orders [link]
    Xing, Y., Yan, D., Dondi, C., Borgo, R. & Abdul-Rahman, A., 12 May 2023, EuroVis 2023 - Poster.
  • A Design Study of Visualizing Historical Book Movement [link]
    Xing, Y., Dondi, C., Borgo, R. & Abdul-Rahman, A., 13 Jun 2022, EuroVis 2022 - Short Paper.
2020-2023
PhD Project

Understanding the Constitutional Law through Visual Design

Analyzed and presented the constitutional convention data from the Quill Project through data mining and visualization techniques following design study frameworks, by presenting the visualizations and visual analytic tools to provide support and inspiration for humanities-related research.

Related Research Outputs:
  • Exploring Interpersonal Relationships in Historical Voting Records [link]
    Dias Cantareira, G., Xing, Y., Cole, N., Borgo, R. & Abdul-Rahman, A., Jun 2023, In: COMPUTER GRAPHICS FORUM. 42, 3, p. 211-221 11 p.
  • Enhancing Understanding of Constitutional Law through Visual Design [link]
    Xing, Y., Cole, N., Borgo, R. & Abdul-Rahman, A., 24 Oct 2021, IEEE VIS 2021 - Poster.
2020.2-2020.9
Master Dissertation

Dynamic Dispatch: Prioritization and Allocation of Ambulances to Patients (LAS)

Main Contribution:
  • Analyzed and predicted the emergency incident prevalence likelihood.
  • Predicted the time for an emergency resource to become available.
  • Compared the traditional prediction model with neural networks and summarized the results.
2019.1-2029.6
Undergraduate Dissertation

Research on the Differences in Emoji Sentiment Perception between Sender and Receiver

Main Contribution:
  • Quantified Emoji sentiment perception by designing scales.
  • Conducted quantitative analysis and empirical research on the influencing through regression analysis and clustering analysis.
  • Summarized Emojis which are most likely to cause misunderstanding.

Research-Related Experience

2023.9

Attended ACM WomENcourage Conference

Presented Poster

  • Bridging Disciplines with Visualization: Fostering Interdisciplinary Collaboration in Computer Science and Beyond with Design Studies [link]
    Xing, Y., Borgo, R. & Abdul-Rahman, A., 10th ACM Celebration of Women in Computing: womENcourage™ 2023.
2022.8 & 2023.8

Involved in KURF Summer Projects

Advising undergraduate students on summer projects related to MEI book trade data.

  • KURF2022 Project: Mapping the Dispersal of Books from Religious Orders
  • KURF2023 Project: Visualizing the Formation and Dispersal of a Library
2021-2023

Conference Student Volunteer

  • 2023 IEEE VIS Conference in Melbourne, Australia
  • 2022 EuroVis Conference in Rome, Italy
  • 2021 and 2022 IEEE VIS Conference, Remote Student Volunteer
2022.10

Invited Talk at CUSP London PhD Conference

Topic: A Design Study of Visualizing Historical Book Movement

2021.12-2022.4

RAMP Project Volunteer in Visualization

Volunteered in the Rapid Assistance in Modelling the Pandemic (RAMP) project, contributing to qualitative and quantitative assessments of visual analytic tools.

Related Research Outputs:
  • Visual analytics based search-analyze-forecast framework for epidemiological time-series data [link]
    Gonen, T., Xing, Y., Turkay, C., Abdul-Rahman, A., Jianu, R., Fang, H., Freeman, E., Vidal, F. & Chen, M., Aug 2023, IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes).
2021.5

Participated in Helsinki Digital Humanities Hackathon

CBA Request Team Member.

  • Text mining the labour market related data.
  • Implement visualization tools to help discover the collective agreement.

Working Experience

2021.9-2024

King's College London (UK) - Teaching Assistant

  • Module 7CUSMTSD -- Telling Stories with Data
  • Module 7CCSMSDV -- Simulation and Data Visualization
  • Module 7CCSMDM1 -- Data Mining
2020.9-2020.10

Zhejiang Provincial Tumour Hospital (Remote) - Bioinformatics Analyst Internship

  • Conducted PCA and PLS-DA analysis on cell metabolism data.
  • Visualized the cell metabolism data.
2019.3-2019.6

Aon Hewitt Consultancy (China) - Associate Data Analyst Internship

  • Participated in the comparative analysis of the third stage of the Sanofi Define Great Project.
  • Participated in Merck TAP1 Development Project and involved in customer interviews.
  • Conducted benchmarking research and analysis of related industries and companies.
2018.9-2018.12

Ipsos (China) - Marketing Data Analyst Internship

  • Assisted to develop consumer survey plan, interview outline, and report format.
  • Participated in the user evaluation in the focus group discussion.
  • Conducted quantitative analysis on the collected data.
2018.3-2018.5

CITIC Securities (China) - Associate Financial Analyst Internship

  • Carried out data researches on the industrial field of Meituan.
  • Analyzed competitiveness, trade barriers, advantages and disadvantages of Meituan.