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Xiuwen Yi(易修文)
Xiuwen Yi(易修文)
JD Intelligent Cities Research | JD Technology
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Title
Cited by
Cited by
Year
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
8122016
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
5632018
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
5332015
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
5032018
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
3602018
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
2272020
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
2072016
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
1732016
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
1162017
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
642016
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
332020
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
332019
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
322018
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
282016
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
212019
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
202022
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
192023
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
82023
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
82021
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
82020
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