Jian Zhao
Scholar

Jian Zhao

Google Scholar ID: 5v0elikAAAAJ
University of Waterloo
Information VisualizationHuman-Computer InteractionVisual AnalyticsData Science
Citations & Impact
All-time
Citations
2,654
 
H-index
32
 
i10-index
68
 
Publications
20
 
Co-authors
170
list available
Resume (English only)
Academic Achievements
  • NBDESCRIB (ACL Findings'25): A dataset for text description generation from tables and code
  • VATRA (GI'25): Explaining adversarial machine learning with interactive visualization
  • Code Shaping (CHI'25): Editing code using free-form sketch
  • Brickify (CHI'25): Designing graphics via directly manipulatable tokens
  • Influencer (CHI'25): Fusing images and text for promotional posts
  • WavData Lamp (CHI'25): Studying user relations with data-physicalized thing
  • AdvEx (TIIS'25): Explaining adversarial machine learning with interactive visualization
  • Piet (CHI'24): Fluid color manipulation for motion graphics videos
  • Streaming in VR (ISS'23): Investigating practices, challenges, and opportunities of VR streaming on Twitch
  • Hand-over-face gestures (MobileHCI'19): Interacting with your smartphone through the built-in camera
  • KTGraph (VAST'17): Studying handoff of partial findings in asynchronous collaborative sensemaking
  • EgoLines (CHI'16): Visual exploration of dynamic egocentric networks
  • MatrixWave (CHI'15): Visual comparison of event sequence data, such as user clickstreams on websites
  • FluxFlow (VAST'14): Visual analysis of anomalous information spreading in social media
Background
  • Associate Professor at the Cheriton School of Computer Science, University of Waterloo
  • Director of the WVisdom (formerly WatVis) research lab
  • Affiliated with the WaterlooHCI lab
  • Member of Waterloo Artificial Intelligence Institute (Waterloo.ai), Waterloo Institute for Sustainable Aeronautics (WISA), and the Games Institute
  • Research focuses on Information Visualization (InfoVis), Human-Computer Interaction (HCI), Data Science, and Human-Centered AI
  • Develops novel interactive systems and visual representations that promote interplay among humans, machines, and data
  • Aims to enhance human-data interaction through exploratory and explanatory interfaces that integrate user creativity with algorithmic scalability