| 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 | 107 | 2019 |
| 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 | 91 | 2020 |
| PACE: a PAth-CEntric paradigm for stochastic path finding B Yang, J Dai, C Guo, CS Jensen, J Hu The VLDB Journal 27, 153-178, 2018 | 90 | 2018 |
| 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 | 86 | 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 | 83 | 2016 |
| 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, 179-200, 2018 | 71 | 2018 |
| Context-aware, preference-based vehicle routing C Guo, B Yang, J Hu, CS Jensen, L Chen The VLDB Journal 29, 1149-1170, 2020 | 53 | 2020 |
| Enabling time-dependent uncertain eco-weights for road networks Y Ma, B Yang, CS Jensen Proceedings of Workshop on Managing and Mining Enriched Geo-Spatial Data, 1-6, 2014 | 52 | 2014 |
| Evolutionary clustering of moving objects T Li, L Chen, CS Jensen, TB Pedersen, Y Gao, J Hu 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2399-2411, 2022 | 48 | 2022 |
| Unsupervised path representation learning with curriculum negative sampling SB Yang, C Guo, J Hu, J Tang, B Yang arXiv preprint arXiv:2106.09373, 2021 | 38 | 2021 |
| Sequence labeling with meta-learning J Li, P Han, X Ren, J Hu, L Chen, S Shang IEEE Transactions on Knowledge and Data Engineering 35 (3), 3072-3086, 2021 | 31 | 2021 |
| Balenas: Differentiable architecture search via the bayesian learning rule M Zhang, S Pan, X Chang, S Su, J Hu, GR Haffari, B Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Lightpath: Lightweight and scalable path representation learning SB Yang, J Hu, C Guo, B Yang, CS Jensen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 17 | 2023 |
| 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 | 17 | 2022 |
| Weakly-supervised temporal path representation learning with contrastive curriculum learning SB Yang, C Guo, J Hu, B Yang, J Tang, CS Jensen 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2873-2885, 2022 | 15 | 2022 |
| Soup: spatial-temporal demand forecasting and competitive supply in transportation B Zheng, Q Hu, L Ming, J Hu, L Chen, K Zheng, CS Jensen IEEE Transactions on Knowledge and Data Engineering 35 (2), 2034-2047, 2021 | 14 | 2021 |
| 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 | 14 | 2013 |
| Residual memory inference network for regression tracking with weighted gradient harmonized loss H Zhang, J Zhang, G Nie, J Hu, WJC Zhang Information Sciences 597, 105-124, 2022 | 13 | 2022 |
| 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 | 12 | 2020 |
| Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods X Qiu, J Hu, L Zhou, X Wu, J Du, B Zhang, C Guo, A Zhou, CS Jensen, ... arXiv preprint arXiv:2403.20150, 2024 | 10* | 2024 |
Bin Yang (杨彬)Aalborg UniversityVerified email at cs.aau.dk