Wenyuan Wang

Wenyuan Wang

PhD student in Human Computer Interaction

School of Information and Library Science, UNC Chapel Hill

Biography

Hi, my name is Wenyuan Wang, Wen for short. I am a Phd student at School of Information and Library Science, UNC Chapel Hill. My research interests include visualization systems, explainable AI and human machine teaming. My current thesis is on the differentiation of the concept of “enough” from both perspectives of a human and one’s machine counterpart, in another word, how systems decide saturation and how humans define satisfaction, and what models could bridge such gaps.

Interests
  • Human Information Behaviors
  • Human Machine Teaming
  • User Experience Research
  • Visual Analytics
  • Natural Language Processing
Education
  • PhD in Information Science, Present

    UNC Chapel Hill

  • Master in Information Science, 2015

    University of Pittsburgh

  • Bachelor in Computer Science, 2012

    Shanghai University of Finance and Economics

Skills

Technical
Python
SQL
Java Script
Java
R
Research
Interactive Visual Design
Usability Testing
Interview Protocol Design
Survey Design
Statistical Analysis

Experience

 
 
 
 
 
Visual Analytics and Communication Lab, UNC Chapel Hill
Research Assisant
August 2017 – Present Chapel Hill, NC
  • Contributed system development of Cadence, a visual analytic platform for high dimensional time series data.
  • Collaborated with the Lab on multiple research projects involving bias detection and human reasoning enhancement in visualization systems.
 
 
 
 
 
Community Workshop Seires, UNC Chapel Hill
Volunteer UX Manager
September 2023 – Present Chapel Hill, NC
  • Volunteered as UX manager at Community Workshop Series, a student-run organization aiming to improve community-based information access and experience.
  • Collaborated with the leader of the organization to create practicum opportunities for IS students to enhance the user experience of the CWS website.
 
 
 
 
 
Laboratory of Analytical Sciences
UX Research Scholar Intern
June 2023 – July 2023 Raleigh, NC
  • Collaborated with Academic Scholars, Industrial Analysts and Government Agents during the 8-week Summer Conference of Applied Data Science (SCADS), to develop a Tailored Daily Report (TLDR) system to enhance intelligence analysts’ workflows.
  • Designed and executed a research project capturing core values of NSA intelligent analysts with focus discovery exercises, and analyzed data to derive key insights.
 
 
 
 
 
Digital Innovation Lab, UNC Chapel Hill
Research Assistant
June 2020 – December 2020 Chapel Hill, NC
  • Created interactive visualization for exploratory data analysis on Twitter Analysis of COVID-19 vaccine-related topics from October 2019 to February 2020.
  • Analyzed data integrity and proposed alternative strategies for the data analytics process based on initial findings.
 
 
 
 
 
NetApp, Inc.
Quanlity Assurance Engineer
June 2015 – May 2015 Durham, NC
  • Execute quality assurance testings for VMware Integration Solution on NetApp storage system, using PowerShell to implement automation strategy.

Publications

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(2022). A Design Space for Surfacing Content Recommendations in Visual Analytic Platforms. IEEE Transactions on Visualization and Computer Graphics ( Volume: 29, Issue: 1, January 2023).

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(2019). Selection bias tracking and detailed subset comparison for high-dimensional data. IEEE Transactions on Visualization and Computer Graphics ( Volume: 26, Issue: 1, January 2020).

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(2019). Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. IEEE Transactions on Visualization and Computer Graphics ( Volume: 26, Issue: 1, January 2020).

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(2019). Visualization model validation via inline replication. Information Visualization, Volume 18, Issue 4.

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(2018). Contextual Visualization. IEEE Computer Graphics and Applications ( Volume: 38, Issue: 6, 01 Nov.-Dec. 2018).

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Contact

Feel free to drop a few lines with me! I would absolutely like to join you for a virtual coffee!