6 citations · 8 across the 4 of their papers we have counts for
4 papers
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model
Can Rong, Jingtao Ding, Zhicheng Liu +1
The Origin-Destination~(OD) networks provide an estimation of the flow of people from every region to others in the city, which is an important research topic in transportation, ur…
Transportation Scenario Planning with Graph Neural Networks
Ana Alice Peregrino, Soham Pradhan, Zhicheng Liu +2
Providing efficient human mobility services and infrastructure is one of the major concerns of most mid-sized to large cities around the world. A proper understanding of the dynami…
VEGA: Towards an End-to-End Configurable AutoML Pipeline
Bochao Wang, Hang Xu, Jiajin Zhang +21
Automated Machine Learning (AutoML) is an important industrial solution for automatic discovery and deployment of the machine learning models. However, designing an integrated Auto…
ICE: Identify and Compare Event Sequence Sets through Multi-Scale Matrix and Unit Visualizations
Siwei Fu, Jian Zhao, Linping Yuan +3
Comparative analysis of event sequence data is essential in many application domains, such as website design and medical care. However, analysts often face two challenges: they may…