Bo Wang

According to our database, Bo Wang authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2022

Short-term traffic flow prediction in bike-sharing networks.

Bo Wang, Hai Le Vu, Inhi Kim, Chen Cai

J. Intell. Transp. Syst., 2022

2021

Revealing the hidden features in traffic prediction via entity embedding.

Bo Wang, Khaled Shaaban, Inhi Kim

Pers. Ubiquitous Comput., 2021

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

Bo Wang, Reza Mohajerpoor, Chen Cai, Inhi Kim, 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

2019

Reveal the hidden layer via entity embedding in traffic prediction.

Bo Wang, Khaled Shaaban, Inhi Kim

Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019