Terrance's photo
Po-Ming "Terrance" Law
PhD Student in Computer Science
School of Interactive Computing
Georgia Institute of Technology
Email: pmlaw (at) gatech (dot) edu
Office:
Technology Square Research Building 331
85 5th St NW, Atlanta, Georgia
ABOUT ME
I am a fifth-year Ph.D. student in Computer Science working with Dr. Alex Endert and Dr. John Stasko. I am a member of Georgia Tech Visualization Lab. My research interests lie in Human-Computer Interaction and Information Visualization.
I received a degree in Computer Science and a degree in General Business Management from the Hong Kong University of Science and Technology. Before joining Georgia Tech, I was a member of HKUST VisLab.
CV icon Curriculum Vitae resume icon Resume
NEWS
29th Aug, 2020 Published findings from interviews with 23 visualization practitioners: Paper The study dived into what practitioners think are data insights and proposes ways to automatically generate data insights.
10th Dec, 2018 Released Duo, a spreadsheet application for pairwise comparisons: Video / Working Prototype
30th Sept, 2018 Released MAQUI under a GPL licence. MAQUI is a visualization tool for exploring event sequence data.
Publications
CHI 2021 paper teaser
Causal Perception in Question-Answering Systems
Po-Ming Law, Leo Yu-Ho Lo, Alex Endert, John Stasko, and Huamin Qu
ACM Conference on Human Factors in Computing Systems (CHI 2021)
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talk icon Talk
data icon Supplementary Materials
pdf icon OSF
pdf icon arXiv
VIS 2020 paper 2 teaser
What are Data Insights to Professional Visualization Users?
Po-Ming Law, Alex Endert, and John Stasko
IEEE VIS Short Paper (IEEE VIS 2020)
pdf icon Paper
talk icon Talk
pdf icon arXiv
data icon Interviewees' Demographics
VIS 2020 paper 1 teaser
Characterizing Automated Data Insights
Po-Ming Law, Alex Endert, and John Stasko
IEEE VIS Short Paper (IEEE VIS 2020)
pdf icon Paper
talk icon Talk
pdf icon arXiv
GI 2020 paper teaser
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Po-Ming Law, Sana Malik, Fan Du, and Moumita Sinha
Graphics Interface 2020 (GI 2020)
pdf icon Paper
talk icon Talk
video icon Demo Video
CoBi 2020 paper teaser
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study
Po-Ming Law, Sana Malik, Fan Du, and Moumita Sinha
CHI 2020 Workshop on Detection and Design for Cognitive Biases in People and Computing Systems (CoBi 2020)
pdf icon Paper
pdf icon OSF
pdf icon arXiv
CHI 2019 paper teaser
Comparing Apples and Oranges: Taxonomy and Design of Pairwise Comparisons within Tabular Data
Po-Ming Law, Subhajit Das, and Rahul C. Basole
ACM Conference on Human Factors in Computing Systems (CHI 2019)
pdf icon Paper
github icon Supplementary Materials
system icon System
video icon Demo Video
VIS 2018 paper 3 teaser
Duet: Helping Data Analysis Novices Conduct Pairwise Comparisons by Minimal Specification
Po-Ming Law, Rahul C. Basole, and Yanhong Wu
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2018)
pdf icon Paper
talk icon Talk
github icon Supplementary Materials
system icon System
video icon Demo Video
VIS 2018 paper 2 teaser
MAQUI: Interweaving Queries and Pattern Mining for Recursive Event Sequence Exploration
Po-Ming Law, Zhicheng Liu, Sana Malik, and Rahul C. Basole
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2018)
pdf icon Paper
talk icon Talk
github icon Software
video icon Atomic User Actions
video icon Foursquare Dataset Demo
VIS 2018 paper 1 teaser
Segue: Overviewing Evolution Patterns of Egocentric Networks by Interactive Construction of Spatial Layouts
Po-Ming Law, Yanhong Wu, and Rahul C. Basole
IEEE Conference on Visual Analytics Science and Technology (IEEE VIS 2018)
pdf icon Paper
talk icon Talk
data icon Supplementary Materials
system icon System
video icon Enron Dataset Demo
video icon Co-investment Network Demo
DECISIVe 2017 paper teaser
Designing Breadth-Oriented Data Exploration for Mitigating Cognitive Biases
Po-Ming Law, and Rahul C. Basole
Chapter 11, Cognitive Biases in Visualizations (pp. 149-159), Springer
2nd Workshop on Dealing with Cognitive Biases in Visualizations (DECISIVe 2017)
pdf icon Paper
ppt icon Talk Slides
VIS 2016 paper teaser
VisMatchmaker: Cooperation of the User and the Computer in Centralized Matching Adjustment
Po-Ming Law, Wenchao Wu, Yixian Zheng, and Huamin Qu
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2016)
pdf icon Paper
talk icon Talk
ppt icon Talk Slides
Other Projects
Adversarial training project teaser
Exploring Adversarial Training Strategies with PGD Attack
doc icon Article
US college project teaser
Mining Automated Insights from College Scorecard Data
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data icon Data
Health disparities project teaser
Visualizing Health Disparities in the United States
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data icon Data
Professional Experience
Georgia Institute of Technology, Atlanta, GA
Research Assistant, School of Interactive Computing
August 2016 - now
Adobe Research, San Jose, CA
Research Intern, Big Data Experience Lab
Mentors: Sana Malik, Fan Du, and Moumita Sinha
Summer 2019
Adobe Research, Seattle, WA
Research Intern, Creative Technology Lab
Mentors: Zhicheng Liu and Sana Malik
Summer 2017
A Collection of Visualization Systems I Developed
Auto-insight project teaser
Creating Visualizations with the Help of Automated Analysis
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Dashboard explanation project teaser
Explaining Dashboards with Textual Descriptions
system icon System
Visual insight project teaser
Extracting Visual Insights from Tabular Data
system icon System
Duo project teaser
Conducting Pairwise Comparisons in a Spreadsheet
system icon System
video icon Video
US college project teaser
Mining Automated Insights from College Scorecard Data
system icon System
data icon Data
MAQUI project teaser
Querying and Mining Patterns from Event Sequence Data
github icon System
video icon Video
Duet project teaser
Using Automated Analysis to Make Pairwise Comparisons Easier
system icon System
video icon Video
Segue project teaser
Overviewing Ego-Networks by Creating Spatial Layouts
system icon System
video icon Video
Health disparities project teaser
Visualizing Health Disparities in the United States
system icon System
data icon Data