PACE: a PAth-CEntric paradigm for stochastic path finding B Yang, J Dai, C Guo, CS Jensen, J Hu The VLDB Journal 27 (2), 153-178, 2018 | 72 | 2018 |
Path cost distribution estimation using trajectory data J Dai, B Yang, C Guo, CS Jensen, J Hu Proceedings of the VLDB Endowment 10 (3), 85-96, 2016 | 72 | 2016 |
Stochastic weight completion for road networks using graph convolutional networks J Hu, C Guo, B Yang, CS Jensen 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1274-1285, 2019 | 68 | 2019 |
Learning to route with sparse trajectory sets C Guo, B Yang, J Hu, C Jensen 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1073-1084, 2018 | 61 | 2018 |
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach J Hu, B Yang, C Guo, CS Jensen The VLDB Journal 27 (2), 179-200, 2018 | 58 | 2018 |
Stochastic origin-destination matrix forecasting using dual-stage graph convolutional, recurrent neural networks J Hu, B Yang, C Guo, CS Jensen, H Xiong 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1417-1428, 2020 | 52 | 2020 |
Enabling time-dependent uncertain eco-weights for road networks J Hu, B Yang, CS Jensen, Y Ma GeoInformatica 21 (1), 57-88, 2017 | 47 | 2017 |
Context-aware, preference-based vehicle routing C Guo, B Yang, J Hu, CS Jensen, L Chen The VLDB Journal 29 (5), 1149-1170, 2020 | 33 | 2020 |
A real time dual-camera surveillance system based on tracking-learning-detection algorithm J Hu, S Hu, Z Sun 2013 25th Chinese Control and Decision Conference (CCDC), 886-891, 2013 | 17 | 2013 |
Unsupervised path representation learning with curriculum negative sampling SB Yang, C Guo, J Hu, J Tang, B Yang arXiv preprint arXiv:2106.09373, 2021 | 14 | 2021 |
Infinitely wide graph convolutional networks: semi-supervised learning via Gaussian processes J Hu, J Shen, B Yang, L Shao arXiv preprint arXiv:2002.12168, 2020 | 8 | 2020 |
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply B Zheng, Q Hu, L Ming, J Hu, L Chen, K Zheng, CS Jensen IEEE Transactions on Knowledge and Data Engineering, 2021 | 7 | 2021 |
Assessing the accuracy benefits of on-the-fly trajectory selection in fine-grained travel-time estimation R Waury, J Hu, B Yang, CS Jensen 2017 18th IEEE International Conference on Mobile Data Management (MDM), 240-245, 2017 | 7 | 2017 |
Recurrent multi-graph neural networks for travel cost prediction J Hu, C Guo, B Yang, CS Jensen, L Chen arXiv preprint arXiv:1811.05157, 2018 | 6 | 2018 |
Temporal path representation learning with weakly-supervised contrastive curriculum learning SB Yang, C Guo, J Hu, B Yang, J Tang, CS Jensen ICDE, 2022 | 5 | 2022 |
Sequence labeling with meta-learning J Li, P Han, X Ren, J Hu, L Chen, S Shang IEEE Transactions on Knowledge and Data Engineering, 2021 | 3 | 2021 |
Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks B Zheng, Q Hu, L Ming, J Hu, L Chen, K Zheng, CS Jensen | 3 | 2020 |
Performance evaluation of low resolution visual tracking for unmanned aerial vehicles Y Wang, X Wei, H Shen, J Hu, L Luo Neural Computing and Applications 33 (7), 2229-2248, 2021 | 2 | 2021 |
Real time monitor system based on dual-camera cooperative fusion J Hu, S Hu, Z Sun National Natural Science Foundation, China, 2012 | 1 | 2012 |
Semantic driven attention network with attribute learning for unsupervised person re-identification S Xu, L Luo, J Hu, B Yang, S Hu Knowledge-Based Systems 252, 109354, 2022 | | 2022 |