Weizi Li
Cited by
Cited by
Citywide estimation of traffic dynamics via sparse GPS traces
W Li, D Nie, D Wilkie, MC Lin
IEEE Intelligent Transportation Systems Magazine 9 (3), 100-113, 2017
City-scale traffic animation using statistical learning and metamodel-based optimization
W Li, D Wolinski, MC Lin
ACM Transactions on Graphics (TOG) 36 (6), 1-12, 2017
Populations with purpose
W Li, JM Allbeck
International Conference on Motion in Games, 132-143, 2011
A survey on visual traffic simulation: Models, evaluations, and applications in autonomous driving
Q Chao, H Bi, W Li, T Mao, Z Wang, MC Lin, Z Deng
Computer Graphics Forum 39 (1), 287-308, 2020
Biologically‐inspired visual simulation of insect swarms
W Li, D Wolinski, J Pettré, M C. Lin
Computer Graphics Forum 34 (2), 425-434, 2015
Estimating urban traffic states using iterative refinement and Wardrop equilibria
W Li, M Jiang, Y Chen, MC Lin
IET Intelligent Transport Systems 12 (8), 875-883, 2018
Virtualized traffic at metropolitan scales
D Wilkie, J Sewall, W Li, MC Lin
Frontiers in Robotics and AI 2, 11, 2015
Crowd distribution and location preference
W Li, Z Di, JM Allbeck
Computer Animation and Virtual Worlds 23 (3-4), 343-351, 2012
Efficient data collection and accurate travel time estimation in a connected vehicle environment via real-time compressive sensing
L Lin, W Li, S Peeta
Journal of Big Data Analytics in Transportation 1 (2), 95-107, 2019
ADAPS: autonomous driving via principled simulations
W Li, D Wolinski, MC Lin
2019 International Conference on Robotics and Automation (ICRA), 7625-7631, 2019
The virtual apprentice
W Li, JM Allbeck
International Conference on Intelligent Virtual Agents, 15-27, 2012
A compressive sensing approach for connected vehicle data capture and recovery and its impact on travel time estimation
L Lin, W Li, S Peeta
arXiv preprint arXiv:1806.10046, 2018
Virtual humans: Evolving with common sense
W Li, JM Allbeck
International Conference on Motion in Games, 182-193, 2012
Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States
S Wang, K Wei, L Lin, W Li
arXiv preprint arXiv:2010.03707, 2020
Predicting Station-Level Bike-Sharing Demands Using Graph Convolutional Neural Network
L Lin, W Li, S Peeta
arXiv preprint arXiv:2004.08723, 2020
Estimating traffic conditions at metropolitan scale using traffic flow theory
W Li, M Jiang, Y Chen, MC Lin
arXiv preprint arXiv:1810.12295, 2018
Assessing Road Traffic Safety Under COVID-19: Inequality, Irregularity, and Severity
L Lin, F Shi, W Li
arXiv preprint arXiv:2011.02289, 2020
Imperatives for Virtual Humans
W Li, JM Allbeck
arXiv preprint arXiv:2004.10014, 2020
Simulation and Learning for Urban Mobility: City-scale Traffic Reconstruction and Autonomous Driving
W Li
arXiv preprint arXiv:1908.06131, 2019
Capture and Recovery of Connected Vehicle Data: A Compressive Sensing Approach
L Lin, W Li, S Peeta
arXiv preprint arXiv:1811.01720, 2018
The system can't perform the operation now. Try again later.
Articles 1–20