jiayi xu cv - department of computer science and...
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Jiayi Xu, Computer Science and Engineering Department, The Ohio State University
JIAYI XU Data Visualization
Education
PhD Program Advisor: Prof. Han-Wei Shen GPA: 3.98/4.0 The Ohio State University, USA Computer Science
Bachelor of Engineering Major GPA: 3.87/4.0 Rank: top 10% among 201 students Zhejiang University, China
Chu Kochen Honors Program Computer Science
Experiences
Summer Intern MCS Division Argonne National Lab., IL, USA
◆ Mentor: Dr. Hanqi Guo ◆ I participated in the development of
Feature Tracking Kit (FTK). I implemented a scalable pipeline consisting of high-performance feature tracking algorithms with distributed parallelism.
Research Assistant Visualization Group HKUST, Hong Kong
◆ Advisor: Prof. Huamin Qu ◆ I focused on the research of large
networks and urban data visualization. I co-authored papers about human co-occurrence in cities; I built the whole visual-analytics system in this project.
Research Assistant Visual Analytics Group Zhejiang University, China
◆ Advisor: Prof. Wei Chen ◆ I participated in several projects for
explaining AI and machine learning models visually.
Selected Publications
◆ Urban Data Analysis n I. TelCoVis: Visual Exploration of
Co-occurrence in Urban Human Mobility Based on Telco Data
IEEE TVCG 22.1 (2016): 935-944 My work: I designed and implemented the
whole visual-analytics system. n II. Spatio-temporal flow maps for visualizing
movement and contact patterns Visual Informatics 1.1 (2017), 57-64 My work: I designed and implemented the
flow-map visualizations of this paper. ◆ Feature Tracking
n III. Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers
Available on arXiv, Under review My work: I completed at least 90% work
of this project, which features a new 3D ridge detection and a novel geometric-glyph augmented tracking graph.
n IV. Microparticle cloud imaging and tracking for data-driven plasma science
Available on arXiv, Under review My work: I designed a distributed parallel
feature tracking algorithm to track particles on images and videos.
◆ Explainable AI n V. A visual analytical approach for transfer
learning in classification Information Sciences 390 (2017), 54-69 My work: I constructed the whole
visual-analytics system. n VI. EasySVM: A Visual Analysis Approach
for Open-Box Support Vector Machines Computational Visual Media 3.2 (2017)
My work: I completed an interactive 3D scatterplot panel to observe high-dimensional elements through 3D projections.
2019 Sum.
2014
[email protected] http://www.jiayixu.org/ 395 Dreese Lab, 2015 Neil Avenue, Columbus, Ohio 43210, USA
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Jiayi Xu, Computer Science and Engineering Department, The Ohio State University