| DNN-based prediction model for spatio-temporal data J Zhang, Y Zheng, D Qi, R Li, X Yi Proceedings of the 24th ACM SIGSPATIAL international conference on advances …, 2016 | 800 | 2016 |
| Geoman: Multi-level attention networks for geo-sensory time series prediction. Y Liang, S Ke, J Zhang, X Yi, Y Zheng IJCAI 2018, 3428-3434, 2018 | 562 | 2018 |
| Forecasting fine-grained air quality based on big data Y Zheng, X Yi, M Li, R Li, Z Shan, E Chang, T Li Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 530 | 2015 |
| Predicting citywide crowd flows using deep spatio-temporal residual networks J Zhang, Y Zheng, D Qi, R Li, X Yi, T Li Artificial Intelligence 259, 147-166, 2018 | 499 | 2018 |
| Deep distributed fusion network for air quality prediction X Yi, J Zhang, Z Wang, T Li, Y Zheng Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 360 | 2018 |
| Predicting citywide crowd flows in irregular regions using multi-view graph convolutional networks J Sun, J Zhang, Q Li, X Yi, Y Liang, Y Zheng IEEE Transactions on Knowledge and Data Engineering 34 (5), 2348-2359, 2020 | 222 | 2020 |
| ST-MVL: Filling Missing Values in Geo-sensory Time Series Data X Yi, Y Zheng, J Zhang, T Li Proceedings of the 25th International Joint Conference on Artificial …, 2016 | 206 | 2016 |
| Citywide traffic volume estimation using trajectory data X Zhan, Y Zheng, X Yi, SV Ukkusuri IEEE Transactions on Knowledge and Data Engineering 29 (2), 272-285, 2016 | 172 | 2016 |
| City-wide traffic volume inference with loop detector data and taxi trajectories C Meng, X Yi, L Su, J Gao, Y Zheng Proceedings of the 25th ACM SIGSPATIAL international conference on advances …, 2017 | 116 | 2017 |
| Managing massive trajectories on the cloud J Bao, R Li, X Yi, Y Zheng Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016 | 63 | 2016 |
| Citytraffic: Modeling citywide traffic via neural memorization and generalization approach X Yi, Z Duan, T Li, T Li, J Zhang, Y Zheng Proceedings of the 28th ACM international conference on information and …, 2019 | 33 | 2019 |
| Predicting fine-grained air quality based on deep neural networks X Yi, Z Duan, R Li, J Zhang, T Li, Y Zheng IEEE Transactions on Big Data 8 (5), 1326-1339, 2020 | 30 | 2020 |
| Hyperst-net: Hypernetworks for spatio-temporal forecasting Z Pan, Y Liang, J Zhang, X Yi, Y Yu, Y Zheng arXiv preprint arXiv:1809.10889, 2018 | 30 | 2018 |
| A Gaussian Bayesian model to identify spatio-temporal causalities for air pollution based on urban big data JY Zhu, Y Zheng, X Yi, VOK Li 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 3-8, 2016 | 28 | 2016 |
| Citywide traffic volume inference with surveillance camera records Y Yu, X Tang, H Yao, X Yi, Z Li IEEE Transactions on Big Data 7 (6), 900-912, 2019 | 21 | 2019 |
| Matrix representation of the conditional entropy for incremental feature selection on multi-source data Y Huang, K Guo, X Yi, Z Li, T Li Information Sciences 591, 263-286, 2022 | 20 | 2022 |
| C2IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection Y Huang, Z Shen, Y Cai, X Yi, D Wang, F Lv, T Li IEEE Transactions on Knowledge and Data Engineering 35 (10), 10681-10694, 2023 | 19 | 2023 |
| Incremental unsupervised feature selection for dynamic incomplete multi-view data Y Huang, K Guo, X Yi, Z Li, T Li Information Fusion 96, 312-327, 2023 | 8 | 2023 |
| Gas-theft suspect detection among boiler room users: A data-driven approach X Yi, X Yang, Y Huang, S Ke, J Zhang, T Li, Y Zheng IEEE Transactions on Knowledge and Data Engineering 34 (12), 5796-5808, 2021 | 8 | 2021 |
| You are how you use: Catching gas theft suspects among diverse restaurant users X Yang, X Yi, S Chen, S Ruan, J Zhang, Y Zheng, T Li Proceedings of the 29th ACM International Conference on Information …, 2020 | 8 | 2020 |
Junbo Zhang（张钧波）JD Intelligent Cities Research | JD TechnologyBestätigte E-Mail-Adresse bei jd.com