| A Novel Combined Prediction Scheme Based on CNN and LSTM for Urban PM2.5 Concentration D Qin, J Yu, G Zou, R Yong, Q Zhao, B Zhang Ieee Access 7, 20050-20059, 2019 | 265 | 2019 |
| Deep learning for air pollutant concentration prediction: A review B Zhang, Y Rong, R Yong, D Qin, M Li, G Zou, J Pan Atmospheric Environment 290, 119347, 2022 | 110 | 2022 |
| A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction B Zhang, G Zou, D Qin, Y Lu, Y Jin, H Wang Science of The Total Environment 765, 144507, 2021 | 85 | 2021 |
| RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model B Zhang, G Zou, D Qin, Q Ni, H Mao, M Li Expert Systems with Applications 207, 118017, 2022 | 52 | 2022 |
| FDN-learning: Urban PM2. 5-concentration spatial correlation prediction model based on fusion deep neural network G Zou, B Zhang, R Yong, D Qin, Q Zhao Big Data Research 26, 100269, 2021 | 23 | 2021 |
| Exploring the nonlinear impact of air pollution on housing prices: A machine learning approach G Zou, Z Lai, Y Li, X Liu, W Li Economics of Transportation 31, 100272, 2022 | 18 | 2022 |
| When will we arrive? a novel multi-task spatio-temporal attention network based on individual preference for estimating travel time G Zou, Z Lai, C Ma, M Tu, J Fan, Y Li IEEE Transactions on Intelligent Transportation Systems 24 (10), 11438-11452, 2023 | 17 | 2023 |
| A novel spatio-temporal generative inference network for predicting the long-term highway traffic speed G Zou, Z Lai, C Ma, Y Li, T Wang Transportation research part C: emerging technologies 154, 104263, 2023 | 14 | 2023 |
| A spatial correlation prediction model of urban PM2. 5 concentration based on deconvolution and LSTM B Zhang, Y Liu, RH Yong, G Zou, R Yang, J Pan, M Li Neurocomputing 544, 126280, 2023 | 9 | 2023 |
| Longer time span air pollution prediction: The attention and autoencoder hybrid learning model XY Tu, B Zhang, YP Jin, GJ Zou, JG Pan, MZ Li Mathematical Problems in Engineering 2021 (1), 5515103, 2021 | 9 | 2021 |
| Exploring the spatial heterogeneity of residents' marginal willingness to pay for clean air in Shanghai Z Lai, X Liu, W Li, Y Li, G Zou, M Tu Frontiers in Public Health 9, 791575, 2021 | 8 | 2021 |
| Mt-stnet: A novel multi-task spatiotemporal network for highway traffic flow prediction G Zou, Z Lai, T Wang, Z Liu, Y Li IEEE Transactions on Intelligent Transportation Systems, 2024 | 7 | 2024 |
| Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed G Zou, Z Lai, T Wang, Z Liu, J Bao, C Ma, Y Li, J Fan Expert Systems with Applications 237, 121548, 2024 | 7 | 2024 |
| Impact evaluation of cyberattacks on connected and automated vehicles in mixed traffic flow and its resilient and robust control strategy T Wang, M Tu, H Lyu, Y Li, O Orfila, G Zou, D Gruyer Sensors 23 (1), 74, 2022 | 6 | 2022 |
| A multi-site air pollution predicition model based on convolution auto-encoder deep learning B Zhang, Y Lu, D Qin, G Zou Acta. Electron. Sin 50 (1410), 1427, 2022 | 4 | 2022 |
| PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction T Wang, D Ngoduy, G Zou, T Dantsuji, Z Liu, Y Li Expert Systems with Applications 258, 125144, 2024 | 3 | 2024 |
| Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction T Wang, D Ngoduy, Y Li, H Lyu, G Zou, T Dantsuji Chaos, Solitons & Fractals 187, 115437, 2024 | 3 | 2024 |
| Residual neural network with spatiotemporal attention integrated with temporal self-attention based on long short-term memory network for air pollutant concentration prediction D Li, J Wang, D Tian, C Chen, X Xiao, L Wang, Z Wen, M Yang, G Zou Atmospheric Environment 329, 120531, 2024 | 3 | 2024 |
| RCL-Learning: ResNet and convolutional long short-term memory-based air concentration model B Zhang, G Zou, D Qin, Q Ni, H Mao, M Li EXPERT SYSTEMS WITH APPLICATIONS 207, 2022 | 2 | 2022 |
| How to Accurately Predict Traffic Speed Using Simple Input Variables? A Novel Self-Supervised Spatio-Temporal Bilateral Learning Network G Zou, T Wang, H Wang, J Fan, Y Li 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |