About

About Me

A Research Fellow at the University of Melbourne, using deep learning and web development to improve intelligent transportation systems. Also the founder of AUDrive and Gdaydrive. Some projects can be found at my Portfolio and Github.

Contact

Email: bo.wang at unimelb.edu.au

Publication

• Wang, B., Vu, H. L., Kim, I., & Cai, C. (2023). Distributional Prediction of Short-term Traffic using Neural Networks. Engineering Applications of Artificial Intelligence (Accepted).
• Wang, B., Qin, A. K., Shafiei, S., Dia, H., Mihaita, A. S., & Grzybowska, H. (2023). Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. In 2023 International Joint Conference on Neural Networks (IJCNN) (pp. 1-7). IEEE.
  Paper
• Eichenberger, C., Neun, M., …, Wang, B., …, et al. (2022). Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS 2021 Competition and Demonstration Track, PMLR.
  Paper

  Github
• Wang, B., Mohajerpoor, R., Cai, C., Kim, I. & Vu H. L. (2021). Traffic4cast - Large-scale Traffic Prediction using 3DResNet and Sparse-UNet. Presented at Traffic4cast Competition, NeurIPS 2021.
  Paper

  Github

  Video
• Wang, B., Vu, H. L., Kim, I., & Cai, C. (2021). Short-term traffic flow prediction in bike-sharing networks. Journal of Intelligent Transportation Systems, 1-18.
  Paper

  Github

  Video

  Demo
• B Wang, H Vu & I Kim. (2020). Short-Term Traffic Prediction Using A Spatial-Temporal CNN Model With Transfer Learning. Transportation Research Board 99th Annual Meeting, Washington, D.C., United States.
  Paper

  Poster

  Demo
• Wang, B., Shaaban, K., & Kim, I. (2020). Revealing the hidden features in traffic prediction via entity embedding. Personal and Ubiquitous Computing, 25(1), 21-31.
  Paper

  Tutorial

  Github

  Demo
• Wang, B., Shaaban, K., & Kim, I. (2019). Reveal the hidden layer via entity embedding in traffic prediction. Paper presented at 10th International Conference on Ambient Systems, Networks and Technologies (ANT), Leuven, Belgium.
  Paper
• Wang, B., & Kim, I. (2018). Short-term prediction for bike-sharing service using machine learning. Paper presented at the International Symposium of Transport Simulation (ISTS’18) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS’18), Matsuyama Japan.
  Paper

  Tutorial
• Wang, B., Hua, L., & Kim, I. (2018). Social Media Application for Illegal Parking Problem. Paper presented at the CICTP 2017: Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation, Shanghai, China.
  Paper

  Demo
• Li, Y., Hu, Q., & Wang, B. (2016). Research on Positioning Accuracy with Kalman Filter for Road Maintenance Equipment. Technology Innovation and Application, 36, 46-48.

Reviewer

• IEEE Transactions on Intelligent Transportation Systems
• Transportation Research Part A
• Journal of Advanced Transportation
• Transportation Letters
• IET Intelligent Transport Systems
• Physica A: Statistical Mechanics and Its Applications
• International Journal of Information Management Data Insights
• Transportation Research Board (TRB) Annual Meeting