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Zehua Zeng

             

Bio

I am a Software Research Engineer at Intel. I design and develop visualization tools for real-time yield analysis.

I received my Ph.D. from the Department of Computer Science at the University of Maryland, College Park, where I worked with Leilani Battle in the BAttle-Data Lab and UW Interactive Data Lab.

I received my M.S. in Computer Science from the University of Maryland and my B.S. in Telecommunication Engineering from the Beijing University of Posts and Telecommunications.

Experience

Software Research Engineer/Scientist, Intel Inc.
Jan 2023 - Present
Graduate Research Assistant, University of Maryland, College Park
May 2016 - Dec 2022
Graduate Teaching Assistant, University of Maryland, College Park
Aug 2015 - Dec 2019
Research and Development Engineer Intern, Baidu Inc.
Jan 2015 - Jul 2015

Lastest News

We received the Best Paper Honorable Mention Award at IEEE VIS 2023.
Sep 2023
Our papers (1 full, 1 short) are fully accepted at VIS 2023.
Jul 2023
Our article is published on ACM Interactions.
May 2023
Our paper is fully accepted at CHI 2023.
Mar 2023
I started working at Intel.
Jan 2023
I passed my Ph.D. thesis defense.
Oct 2022
We received the Best Paper Honorable Mention Award at IEEE VIS 2021.
Sep 2021
I passed my preliminary exam and now a Ph.D. candidate.
Aug 2021

Publications

C5. Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco
Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle
IEEE VIS, 2023

C4. Draco 2: An Extensible Platform to Model Visualization Design
Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng, Dominik Moritz
IEEE VIS 2023 – Short Papers (Best Paper Honorable Mention)

J1. Using Graphical Perception in Visualization Recommendation
Zehua Zeng, Leilani Battle
ACM Interactions, 2023

C3. A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation
Zehua Zeng, Leilani Battle
CHI, 2023

D1. A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms
Zehua Zeng
Ph.D. Dissertation, 2022

C2. An Evaluation-Focused Framework for Visualization Recommendation Algorithms
Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, Eunyee Koh, Leilani Battle
IEEE VIS, 2021 (Best Paper Honorable Mention)

C1. Supporting Team-First Visual Analytics through Group Activity Representations
Sriram Karthik Badam, Zehua Zeng, Emily Wall, Alex Endert, Niklas Elmqvist
Graphics Interface (GI), 2017

Service