Zhenyi Xu
Zhenyi Xu
PhD of Control Science and Engineering,University of Science and Technology of China
Verified email at
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Spatiotemporal graph convolution multifusion network for urban vehicle emission prediction
Z Xu, Y Kang, Y Cao, Z Li
IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3342-3354, 2020
Deep spatiotemporal residual early-late fusion network for city region vehicle emission pollution prediction
Z Xu, Y Cao, Y Kang
Neurocomputing 355, 183-199, 2019
Deep amended COPERT model for regional vehicle emission prediction
Z Xu, Y Kang, Y Cao, Z Li
Science China. Information Sciences 64 (3), 139202, 2021
High-emitting vehicle identification by on-road emission remote sensing with scarce positive labels
Y Kang, Z Li, W Lv, Z Xu, WX Zheng, J Chang
Atmospheric Environment 244, 117877, 2021
High-emitter identification model establishment using weighted extreme learning machine and active sampling
Z Li, Y Kang, W Lv, Y Wu, C Chen, Z Xu
Neurocomputing 441, 79-91, 2021
Vehicle emission control on road with temporal traffic information using deep reinforcement learning
Z Xu, Y Cao, Y Kang, Z Zhao
IFAC-PapersOnLine 53 (2), 14960-14965, 2020
Analysis and prediction of vehicle exhaust emission using ann
Z Xu, Y Kang, W Lv
2017 36th chinese control conference (ccc), 4029-4033, 2017
Man-machine verification of mouse trajectory based on the random forest model
Z Xu, Y Kang, Y Cao, Y Yang
Frontiers of Information Technology & Electronic Engineering 20 (7), 925-929, 2019
Residual autoencoder-LSTM for city region vehicle emission pollution prediction
Z Xu, Y Kang, Y Cao, L Yue
2018 IEEE 14th International Conference on Control and Automation (ICCA …, 2018
Uj-flac: Unsupervised joint feature learning and clustering for dynamic driving cycles construction
L Pei, Y Cao, Y Kang, Z Xu, Z Zhao
IEEE Transactions on Intelligent Transportation Systems 23 (8), 10970-10982, 2021
Prediction of spatiotemporal evolution of urban traffic emissions based on taxi trajectories
ZY Zhao, Y Cao, Y Kang, ZY Xu
International Journal of Automation and Computing 18 (2), 219-232, 2021
Emission stations location selection based on conditional measurement GAN data
Z Xu, Y Kang, Y Cao
Neurocomputing 388, 170-180, 2020
Self-supervised spatiotemporal clustering of vehicle emissions with graph convolutional network
L Pei, Y Cao, Y Kang, Z Xu, Z Zhao
IEEE Transactions on Neural Networks and Learning Systems, 2023
Compound event-triggered distributed MPC for coupled nonlinear systems
Y Kang, T Wang, P Li, Z Xu, YB Zhao
IEEE Transactions on Cybernetics 53 (9), 5572-5584, 2022
High-resolution urban flows forecasting with coarse-grained spatiotemporal data
Z Xu, Y Kang, Y Cao
IEEE Transactions on Artificial Intelligence 4 (2), 315-327, 2022
A higher-order graph convolutional network for location recommendation of an air-quality-monitoring station
Y Kang, J Chen, Y Cao, Z Xu
Remote Sensing 13 (8), 1600, 2021
PWM speed DC motor drive power design
Z Xu, Y Kang
2016 31st Youth Academic Annual Conference of Chinese Association of …, 2016
A deep transfer NOx emission inversion model of diesel vehicles with multisource external influence
Z Xu, R Wang, Y Kang, Y Zhang, X Xia, R Wang
Journal of Advanced Transportation 2021 (1), 4892855, 2021
Traffic emission estimation under incomplete information with spatiotemporal convolutional GAN
Z Zhao, Y Cao, Z Xu, Y Kang
Neural Computing and Applications 35 (21), 15821-15835, 2023
Air Pollution Lidar Signals Classification Based on Machine Learning Methods
B Liu, Z Xu, Y Kang, Y Cao, L Pei
2020 39th Chinese Control Conference (CCC), 13-18, 2020
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