Liang Yu

Orcid: 0000-0003-2580-6345

Affiliations:
  • Alibaba Cloud Computing, Hangzhou, China
  • Institute for Infocomm Research, Urban Systems Initiative, Singapore
  • University of Illinois at Urbana-Champaign, National Center for Supercomputing Applications (NCSA), Urbana, IL, USA
  • Wuhan University, China (PhD 2008)


According to our database1, Liang Yu authored at least 18 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Road Extraction With Satellite Images and Partial Road Maps.
IEEE Trans. Geosci. Remote. Sens., 2023

Physics-Guided Graph Convolutional Network for Modeling Car-Following Behaviors Under Distributional Shift.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Dynamic Data-driven Microscopic Traffic Simulation using Jointly Trained Physics-guided Long Short-Term Memory.
ACM Trans. Model. Comput. Simul., October, 2022

Modeling Trajectories with Multi-task Learning.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Dynamic Car-following Model Calibration with Deep Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Data-driven Microscopic Traffic Modelling and Simulation using Dynamic LSTM.
Proceedings of the SIGSIM-PADS '21: SIGSIM Conference on Principles of Advanced Discrete Simulation, Virtual Event, USA, 31 May, 2021

2020
On-Demand Greenwave for Emergency Vehicles in a Time-Varying Road Network With Uncertainties.
IEEE Trans. Intell. Transp. Syst., 2020

Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Large Scale Traffic Signal Network Optimization - A Paradigm Shift Driven by Big Data.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017
STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Bus Routes Design and Optimization via Taxi Data Analytics.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Using Linked Data in a heterogeneous Sensor Web: challenges, experiments and lessons learned.
Int. J. Digit. Earth, 2015

Predicting Home and Work Locations Using Public Transport Smart Card Data by Spectral Analysis.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Next Generation of Journey Planner in a Smart City.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2011
SGST: an open source semantic geostreaming toolkit.
Proceedings of the 2011 ACM SIGSPATIAL International Workshop on GeoStreaming, 2011

Going Beyond Citizen Data Collection with Mapster: A Mobile+Cloud Real-Time Citizen Science Experiment.
Proceedings of the IEEE 7th International Conference on E-Science, 2011


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