| Optimizing taxi driver profit efficiency: A spatial network-based markov decision process approach X Zhou, H Rong, C Yang, Q Zhang, AV Khezerlou, H Zheng, Z Shafiq, ... IEEE Transactions on Big Data 6 (1), 145-158, 2018 | 59 | 2018 |
| Predicting traffic congestion propagation patterns: A propagation graph approach H Xiong, A Vahedian, X Zhou, Y Li, J Luo Proceedings of the 11th ACM SIGSPATIAL international workshop on …, 2018 | 56 | 2018 |
| A traffic flow approach to early detection of gathering events: Comprehensive results AV Khezerlou, X Zhou, L Li, Z Shafiq, AX Liu, F Zhang ACM Transactions on Intelligent Systems and Technology (TIST) 8 (6), 1-24, 2017 | 54 | 2017 |
| Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data A Vahedian Khezerlou, X Zhou, L Tong, Y Li, J Luo Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances …, 2017 | 42* | 2017 |
| A Traffic Flow Approach to Early Detection of Gathering Events X Zhou, A Vahedian Khezerlou, A Liu, Z Shafiq, F Zhang 24th ACM SIGSPATIAL International Conference on Advances in Geographic …, 2016 | 27 | 2016 |
| Forecasting gathering events through trajectory destination prediction: A dynamic hybrid model AV Khezerlou, X Zhou, L Tong, Y Li, J Luo IEEE Transactions on Knowledge and Data Engineering 33 (3), 991-1004, 2019 | 25 | 2019 |
| Predicting urban dispersal events: A two-stage framework through deep survival analysis on mobility data A Vahedian, X Zhou, L Tong, WN Street, Y Li Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5199-5206, 2019 | 25 | 2019 |
| A new model for discovering process trees from event logs A Vahedian Khezerlou, S Alizadeh Applied intelligence 41, 725-735, 2014 | 13 | 2014 |
| Hintnet: Hierarchical knowledge transfer networks for traffic accident forecasting on heterogeneous spatio-temporal data B An, A Vahedian, X Zhou, WN Street, Y Li Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 11 | 2022 |
| Dilsa+: Predicting urban dispersal events through deep survival analysis with enhanced urban features AV Khezerlou, X Zhou, X Li, WN Street, Y Li ACM Transactions on Intelligent Systems and Technology (TIST) 12 (4), 1-25, 2021 | 5 | 2021 |
| Understanding business location choice pattern: A co-location analysis on urban poi data J Chiu, AV Khezerlou, X Zhou Proceedings of the 2nd INFORMS Workshop on Data Science, Phoenix, AZ, USA 3, 2018 | 5 | 2018 |
| Modelling ragpickers’ productivity at the bottom of the pyramid: the use of artificial neural networks (ANNs) N Johnson, S Prasad, A Vahedian, N Altay, A Jain International journal of operations & production management 42 (4), 552-576, 2022 | 3 | 2022 |
| Modeling Nonlinear Time Series Patterns of Supply Chain Disruptions on Share Price Based Upon Firms’ Account Giving and Nodal Position A Vahedian, J Woldt, S Prasad Available at SSRN 4496809, 2023 | | 2023 |
| Precise Bayes Classifier: Summary of Results A Vahedian, X Zhou 2021 IEEE International Conference on Data Mining (ICDM), 649-658, 2021 | | 2021 |
| Mining big mobility data for large urban event analytics AV Khezerlou The University of Iowa, 2019 | | 2019 |
Xun ZhouProfessor of Computer Science, Harbin Institute of Technology, Shenzhen (HIT-SZ)Verified email at hit.edu.cn
