Reveal the hidden layer via entity embedding in traffic prediction. - Bo Wang 121; Khaled Shaaban; Inhi Kim (ANT/EDI40, 2019)

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; et al. (NeurIPS (Competition and Demos), 2021)

Traffic4cast - Large-scale Traffic Prediction using 3DResNet and Sparse-UNet. - Bo Wang 121; Reza Mohajerpoor; Chen Cai; Inhi Kim; Hai L. Vu (CoRR, 2021)

Revealing the hidden features in traffic prediction via entity embedding. - Bo Wang 121; Khaled Shaaban; Inhi Kim (Pers. Ubiquitous Comput., 2021)

Short-term traffic flow prediction in bike-sharing networks. - Bo Wang 121; Hai Le Vu; Inhi Kim; Chen Cai (J. Intell. Transp. Syst., 2022)

Distributional prediction of short-term traffic using neural networks. - Bo Wang 121; Hai L. Vu; Inhi Kim; Chen Cai (Eng. Appl. Artif. Intell., 2023)