My passion on research hinges upon the love for visualizations that are simple, trustful, and beautiful. I develop interactive visualizations and visual analytics to promote the interplay between human, machines, and big data. I like to work with clever minds from other fields, for example, architects, urban planners, and graphic designers!
a human-centric and steerable GAN model for floorplan design.
MV Layout (TVCG'21, JoV'21)
fundamental understanding for the design patterns of MV visualization.
Colormap Extraction (TVCG'21)
to extract colormaps from visualizations using deep learning.
an immersive analytics system for urban design in VR environment.
Context recognition (TIP'21 & '20)
deep learning models for recognizing floor-level lines and building facades.
a deep learning model for supporting lasso selection of point clouds.
understanding the MAUP effect on deep-learning-based traffic prediction.
Topology density map (TVCG'21)
integrating road network topology in constructing density map for urban analysis and visualization.
balancing aggregations and details of movement data using route-aware edge bundling.
exploring human-scale urban forms based on street views.
a visual analytics system for studying urban vitality.
POI Signature (T-ITS'17)
a visual signature of movement patterns for different POI categories.
Waypoints OD (CGF'16)
visualzing waypoints-constrained OD patterns in movement data.
visualzing mobility patterns in public transportation system.
Interchange Diagram (CGF'13)
visualzing interchange patterns in movement data.