Fan Du

I am a research scientist at Adobe Research. I am interested in human-centered AI with a focus on empowering data analysts with visualization and machine learning technologies. I transfer research prototypes to Adobe's digital marketing solutions.

I received my Ph.D. from University of Maryland, College Park in 2018, advised by Ben Shneiderman and Catherine Plaisant. I earned my bachelor's degree from Zhejiang University, Chu Kochen Honors Program. Previously, I have worked at Alibaba, Tencent, and IBM Research.

Contact:     |  Google Scholar |       

Software: EventFlow |  EventAction |  PeerFinder |  CoCo

 


Featured Projects (all)

Temporal Event Sequence Analysis

Visualizing Uncertainty and Alternatives in Event Sequence Predictions
Shunan Guo (intern), Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim
Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao

CHI Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2019.
Download: [pdf]

 

EventAction: A Visual Analytics Approach to Explainable
Recommendation for Event Sequences

Fan Du, Catherine Plaisant, Neil Spring, Kenyon Crowley, Ben Shneiderman
TiiS ACM Transactions on Interactive Intelligent Systems, 2019.

 

Finding Similar People to Guide Life Choices: Challenge, Design, and Evaluation
Fan Du, Catherine Plaisant, Neil Spring, Ben Shneiderman
CHI Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2017.
Download: [pdf] [software] [video] | Best Paper Honorable Mention

 

Coping with Volume and Variety in Temporal Event Sequences:
Strategies for Sharpening Analytic Focus

Fan Du, Ben Shneiderman, Catherine Plaisant, Sana Malik, Adam Perer
TVCG IEEE Transactions on Visualization and Computer Graphics, 2017.
Download: [pdf] [software]

 


Linked Data Analysis

iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration
Fan Du, Nan Cao, Yu-Ru Lin, Panpan Xu, Hanghang Tong
CHI Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2017.
Download: [pdf] [demo] [quad-tree]

 

Episogram: Visual Summarization of Egocentric Social Interactions
Nan Cao, Yu-Ru Lin, Fan Du, Dashun Wang
CGA IEEE Computer Graphics and Applications, 2016.
Download: [pdf] [video] | Feature Article

 

Trajectory Bundling for Animated Transitions
Fan Du, Nan Cao, Jian Zhao, Yu-Ru Lin
CHI Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2015.
Download: [pdf] [video]

 

Visual Analysis of Set Relations in a Graph
Panpan Xu, Fan Du, Nan Cao, Conglei Shi, Hong Zhou, Huamin Qu
CGF Computer Graphics Forum (Proc. EuroVis), 2013.
Download: [pdf]

 


Anomaly Detection

RCLens: Interactive Rare Category Exploration and Identification
Hanfei Lin, Siyuan Gao, David Gotz, Fan Du, Jingrui He, Nan Cao
TVCG IEEE Transactions on Visualization and Computer Graphics, 2018.
Download: [pdf]

 

Z-Glyph: Visualizing Outliers in Multivariate Data
Nan Cao, Yu-Ru Lin, David Gotz, Fan Du
IV Information Visualization, 2017.
Download: [pdf]

 


Work Experience


Apr 2018 - Now Adobe Research, San Jose, CA
  Research Scientist, Big Data Experience Lab
Jan 2014 - Apr 2018 University of Maryland, College Park, MD
  Research Assistant, Human-Computer Interaction Lab
Summer 2017 Adobe Research, San Jose, CA
  Research Intern, Big Data Experience Lab
Summer 2014, 2015 IBM Thomas J. Watson Research Center, Yorktown Heights, NY
  Research Intern, Graph Computing and Social Cognitive Analytics Group
Sept 2013 - Dec 2013 University of Maryland, College Park, MD
  Teaching Assistant, Department of Computer Science
Sept 2012 - Mar 2013 Hong Kong University of Science and Technology, Hong Kong
  Research Intern, VisLab
Summer 2012 Tencent, Shanghai, China
  Software Engineer Intern, Interactive Entertainment Group
Summer 2011 Alibaba, Hangzhou, China
  Software Engineer Intern, Research and Development Department
Nov 2010 - June 2013 WaiMai Online (startup), Hangzhou, China  
  Founder, CTO
Oct 2010 - Sept 2012 Zhejiang University, Hangzhou, China
  Research Assistant, State Key Laboratory of CAD&CG