| A survey on modern deep neural network for traffic prediction: Trends, methods and challenges DA Tedjopurnomo, Z Bao, B Zheng, FM Choudhury, AK Qin IEEE Transactions on Knowledge and Data Engineering 34 (4), 1544-1561, 2020 | 297 | 2020 |
| Similar trajectory search with spatio-temporal deep representation learning DA Tedjopurnomo, X Li, Z Bao, G Cong, F Choudhury, AK Qin ACM Transactions on Intelligent Systems and Technology (TIST) 12 (6), 1-26, 2021 | 14 | 2021 |
| Trip planning by an integrated search paradigm S Wang, M Li, Y Zhang, Z Bao, DA Tedjopurnomo, X Qin Proceedings of the 2018 International Conference on Management of Data, 1673 …, 2018 | 11 | 2018 |
| A survey on modern deep neural network for traffic prediction: Trends, methods and challenges DA Tedjopurnomo, Z Bao, B Zheng, FM Choudhury, AK Qin 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3795-3796, 2023 | 9 | 2023 |
| TrafFormer: A Transformer Model for Predicting Long-term Traffic DA Tedjopurnomo, FM Choudhury, AK Qin arXiv preprint arXiv:2302.12388, 2023 | 6 | 2023 |
| Equitable public bus network optimization for social good: A case study of singapore D Tedjopurnomo, Z Bao, F Choudhury, H Luo, AK Qin Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 4 | 2022 |
| Learning-based geospatial data analysis for urban traffic and transportation improvement DA Tedjopurnomo RMIT University, 2022 | 2 | 2022 |
BAO ZHIFENGSchool of Computing Technologies, RMIT University; The University of Melbourne在 rmit.edu.au 的电子邮件经过验证
