| Mining spatio-temporal reachable regions over massive trajectory data G Wu, Y Ding, Y Li, J Bao, Y Zheng, J Luo 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1283-1294, 2017 | 51 | 2017 |
| Data-driven inverse learning of passenger preferences in urban public transits G Wu, Y Ding, Y Li, J Luo, F Zhang, J Fu 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5068-5073, 2017 | 17 | 2017 |
| Sampling big trajectory data for traversal trajectory aggregate query Y Ding, Y Li, X Zhou, Z Huang, S You, J Luo IEEE Transactions on Big Data 5 (4), 550-563, 2018 | 10 | 2018 |
| Cycling-net: A deep learning approach to predicting cyclist behaviors from geo-referenced egocentric video data Y Ding, X Zhou, H Bao, Y Li, C Hamann, S Spears, Z Yuan Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 8 | 2020 |
| Mining spatio-temporal reachable regions with multiple sources over massive trajectory data Y Ding, X Zhou, G Wu, Y Li, J Bao, Y Zheng, J Luo IEEE Transactions on Knowledge and Data Engineering 33 (7), 2930-2942, 2019 | 8 | 2019 |
| An ensemble method for data imputation Y Ding, WN Street, L Tong, S Wang 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019 | 5 | 2019 |
| EgoSpeed-net: Forecasting speed-control in driver behavior from egocentric video data Y Ding, Z Zhang, Y Li, X Zhou Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 3 | 2022 |
| Deep Learning with Interaction Terms: An Experimental Exploration Y Ding, X Zhou, G Pant 3rd INFORMS Workshop on Data Science, 2019 | | 2019 |
| Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data Y Ding WORCESTER POLYTECHNIC INSTITUTE, 2017 | | 2017 |
