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Hai L. Vu
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2020 – today
- 2024
- [i9]Quang-Hung Luu, Thai M. Nguyen, Nan Zheng, Hai L. Vu:
Digital Infrastructure for Connected and Automated Vehicles. CoRR abs/2401.08613 (2024) - [i8]Linh Trinh, Quang-Hung Luu, Thai M. Nguyen, Hai L. Vu:
A novel framework for adaptive stress testing of autonomous vehicles in highways. CoRR abs/2402.11813 (2024) - [i7]Takao Dantsuji, Dong Ngoduy, Ziyuan Pu, Seunghyeon Lee, Hai L. Vu:
A hybrid neural network for real-time OD demand calibration under disruptions. CoRR abs/2408.06659 (2024) - [i6]Wenbo Lu, Yong Zhang, Hai L. Vu, Jinhua Xu, Peikun Li:
IPF-HMGNN: A novel integrative prediction framework for metro passenger flow. CoRR abs/2409.14104 (2024) - 2023
- [j4]Bo Wang
, Hai L. Vu
, Inhi Kim, Chen Cai:
Distributional prediction of short-term traffic using neural networks. Eng. Appl. Artif. Intell. 126: 107061 (2023) - [c7]Jiaoyang Li, The Anh Hoang, Eugene Lin, Hai L. Vu, Sven Koenig:
Intersection Coordination with Priority-Based Search for Autonomous Vehicles. AAAI 2023: 11578-11585 - [c6]Anh T. Hoang, Neil Walton, Hai L. Vu:
Optimal distributed signal control for platooning in connected vehicle networks. ITSC 2023: 1679-1685 - 2022
- [j3]Bach Long Nguyen
, Duy Trong Ngo
, Nguyen Hoang Tran
, Minh N. Dao
, Hai L. Vu:
Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement. IEEE Trans. Intell. Transp. Syst. 23(2): 1236-1246 (2022) - [j2]Bach Long Nguyen
, Duy Trong Ngo
, Minh N. Dao
, Vo Nguyen Quoc Bao, Hai L. Vu:
Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks. IEEE Trans. Intell. Transp. Syst. 23(8): 10322-10332 (2022) - [c5]Quang-Hung Luu
, Huai Liu
, Tsong Yueh Chen, Hai L. Vu:
Testing Ocean Software with Metamorphic Testing. MET@ICSE 2022: 23-30 - [p1]Bach Long Nguyen, Duy T. Ngo, Hai L. Vu:
Vehicle Communications for Infotainment Applications. Handbook of Real-Time Computing 2022: 705-722 - [i5]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:
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR abs/2203.17070 (2022) - [i4]Quang-Hung Luu, Huai Liu, Tsong Yueh Chen, Hai L. Vu:
A Sequential Metamorphic Testing Framework for Understanding Automated Driving Systems. CoRR abs/2206.03075 (2022) - [i3]Quang-Hung Luu, Huai Liu, Tsong Yueh Chen, Hai L. Vu:
Testing Ocean Software with Metamorphic Testing. CoRR abs/2206.05457 (2022) - 2021
- [c4]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:
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) 2021: 97-112 - [i2]Danh T. Phan, Hai L. Vu:
A novel activity pattern generation incorporating deep learning for transport demand models. CoRR abs/2104.02278 (2021) - [i1]Bo Wang, Reza Mohajerpoor, Chen Cai, Inhi Kim, Hai L. Vu:
Traffic4cast - Large-scale Traffic Prediction using 3DResNet and Sparse-UNet. CoRR abs/2111.05990 (2021) - 2020
- [j1]Yang Liu
, Zhiyuan Liu, Hai L. Vu, Cheng Lyu
:
A spatio-temporal ensemble method for large-scale traffic state prediction. Comput. Aided Civ. Infrastructure Eng. 35(1): 26-44 (2020) - [c3]Nguyen K. Tri, Samuel J. Wright, John M. Betts, Hai L. Vu:
Studying the Impact of Public Transport on Disaster Evacuation. ITSC 2020: 1-6
2010 – 2019
- 2019
- [c2]Bach Long Nguyen
, Duy T. Ngo
, Nguyen Hoang Tran
, Hai L. Vu:
Combining V2I with V2V Communications for Service Continuity in Vehicular Networks. ITSC 2019: 201-206 - [c1]Sajjad Shafiei, Meead Saberi, Hai L. Vu:
Nonlinearity in Time-Dependent Origin-Destination Demand Estimation in Congested Networks. ITSC 2019: 3892-3897
Coauthor Index
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