Hai L. Vu

According to our database, Hai L. Vu authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A novel framework for adaptive stress testing of autonomous vehicles in highways.

Linh Trinh, Quang-Hung Luu, Thai M. Nguyen, Hai L. Vu

CoRR, 2024

Digital Infrastructure for Connected and Automated Vehicles.

Quang-Hung Luu, Thai M. Nguyen, Nan Zheng, Hai L. Vu

CoRR, 2024

2023

Distributional prediction of short-term traffic using neural networks.

Bo Wang, Hai L. Vu, Inhi Kim, Chen Cai

Eng. Appl. Artif. Intell., November, 2023

Optimal distributed signal control for platooning in connected vehicle networks.

Anh T. Hoang, Neil Walton, Hai L. Vu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Intersection Coordination with Priority-Based Search for Autonomous Vehicles.

Jiaoyang Li, The Anh Hoang, Eugene Lin, Hai L. Vu, Sven Koenig

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement.

Bach Long Nguyen, Duy Trong Ngo, Nguyen Hoang Tran, Minh N. Dao, Hai L. Vu

IEEE Trans. Intell. Transp. Syst., 2022

Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks.

Bach Long Nguyen, Duy Trong Ngo, Minh N. Dao, Vo Nguyen Quoc Bao, Hai L. Vu

IEEE Trans. Intell. Transp. Syst., 2022

A Sequential Metamorphic Testing Framework for Understanding Automated Driving Systems.

Quang-Hung Luu, Huai Liu, Tsong Yueh Chen, Hai L. Vu

CoRR, 2022

Testing Ocean Software with Metamorphic Testing.

Quang-Hung Luu, Huai Liu, Tsong Yueh Chen, Hai L. Vu

Proceedings of the IEEE/ACM 7th International Workshop on Metamorphic Testing, 2022

Vehicle Communications for Infotainment Applications.

Bach Long Nguyen, Duy T. Ngo, Hai L. Vu

Proceedings of the Handbook of Real-Time Computing, 2022

2021

Traffic4cast - Large-scale Traffic Prediction using 3DResNet and Sparse-UNet.

Bo Wang, Reza Mohajerpoor, Chen Cai, Inhi Kim, Hai L. Vu

CoRR, 2021

A novel activity pattern generation incorporating deep learning for transport demand models.

Danh T. Phan, Hai L. Vu

CoRR, 2021

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.

Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

A spatio-temporal ensemble method for large-scale traffic state prediction.

Yang Liu, Zhiyuan Liu, Hai L. Vu, Cheng Lyu

Comput. Aided Civ. Infrastructure Eng., 2020

Studying the Impact of Public Transport on Disaster Evacuation.

Nguyen K. Tri, Samuel J. Wright, John M. Betts, Hai L. Vu

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Nonlinearity in Time-Dependent Origin-Destination Demand Estimation in Congested Networks.

Sajjad Shafiei, Meead Saberi, Hai L. Vu

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Combining V2I with V2V Communications for Service Continuity in Vehicular Networks.

Bach Long Nguyen, Duy T. Ngo, Nguyen Hoang Tran, Hai L. Vu

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019