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Hello, I’m Yilin Xia

I am a third-year Ph.D. student co-advised by Dr. Bertram Ludäscher and Dr. Matthew Turk in the School of Information Sciences at the University of Illinois at Urbana-Champaign. I also fortunately work closely with Dr. JooYoung Seo. Additionally, my research benefits from colloborations with researchers at Microsoft Research, Google Research, the CYENS Centre of Excellence and Open Source Communities.


My research is anchored in the field of Declarative Data Science. The methodology I employed involves the use of Data Management, Visualization and Programming Languages. I am dedicated to the development of open-source tools aimed at improving the accessibility and explainability of technology for a wide-ranging audience. In particular, my areas of interest encompass:


In addition to research, I'm deeply interested in the arts, like painting and photography. I also enjoy sports such as badminton icon badminton,   hiking,   skiing and   running.




Profile Image and My Procreate Arts


Name Pronunciation

Ph.D. Student @UIUC




Selected Projects


Jupyterlab NodeEditor Logo
Jupyterlab NodeEditor (JLNE)
Visual Programming; Low-Code; RSE

A graphical user interface that leverages a dataflow-driven visual programming language, which aims to enhance the capabilities of domain experts in data science tasks.


This is a graph from the paper where it indicate how similar the argumentation and game theory are
GameArg
Logic Programming; Visualization; KRR

Our project is about creating connections between communities in game theory, formal argumentation, and other related fields. By using logic programming and data visualization, we're making these connections clear and easy to understand.


MAIDR interface with a braille display on the side
MAIDR
Accessible Visualization; Education; Statistics

MAIDR is a system for non-visual access and control of statistical visualizations. It aims to provide an inclusive experience for users with visual impairments by offering multiple modes of interaction: braille, text, sonification and review (BTS + R).


ArviZ Logo
ArviZ Dashboard
Dashboards; Statistics; Model Comparison

Motivated by the needs of Bayesian Statisticians, this project leverages tools such as Panel, Bokeh, and ipywidgets to transform ArviZ's static visualizations into dynamic dashboards, which allows users to compare models using various visualizations within a unified interface and interact with the data presented.


CrowdIDEA Interface
CrowdIDEA
Visualization; Causal Reasoning; HCI

We designed and implemented CrowdIDEA, a novel tool consisting of a three-panel integration incorporating the crowd's beliefs (Crowd Panel with two designs), data analytics (Data Panel), and user's causal diagram (Diagram Panel) to stimulate causal reasoning.



Latest News


Feb, 2024    Our demo paper "Logica: Declarative Data Science for Mere Mortals" accepted for EDBT 2024

Jan, 2024    Our paper "MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation" has been accepted for CHI 2024

Dec, 2023    Our manuscript "Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation" has been accepted for IDCC 2024

Nov, 2023    Received $10,000 funding from NumFOCUS to work on project "Dashboard-assisted exploratory analysis of Bayesian models"

Nov, 2023    Our work "Games, Queries, and Argumentation Frameworks: Time for a Family Reunion!" has been accepted to AI^3 at AIxIA

Oct, 2023    Awarded $1,000 Conference Travel Grant from United States Research Software Engineer Association(US-RSE)

July, 2023    One workshop paper get accepted by XLoKR at KR2023

July 10-14, 2023    Thrilled to be part of Princeton University INTERSECT Program, supported by an NSF travel grant

May, 2023    Got Outstanding Review for IEEE VIS 2023

March, 2023    Our first (VISxProv)*Domain workshop proposal accepted by IEEE VIS 2023. Check out the workshop website

Feb 22nd, 2023    I led a seminar reading discussion on Knowledge Graphs in Action: a Tour of Extensions and Real-World Applications of the Vadalog System at UIUC iSchool

Jan, 2023    Our paper CrowdIDEA: Blending Crowd Intelligence and Data Analytics to Empower Causal Reasoning" has been accepted to CHI 2023


Latest Blogs


May 20, 2019    DataONE Summer Research Internship

Nov 24, 2016    Sharing My Experience with Bit-Remit