| A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction* Z Li, G Xiong, Y Chen, Y Lv, B Hu, F Zhu, FY Wang 2019 IEEE intelligent transportation systems conference (ITSC), 1929-1933, 2019 | 100 | 2019 |
| A multi-stream feature fusion approach for traffic prediction Z Li, G Xiong, Y Tian, Y Lv, Y Chen, P Hui, X Su IEEE transactions on intelligent transportation systems 23 (2), 1456-1466, 2020 | 77 | 2020 |
| Traffic congestion prediction using decision tree, logistic regression and neural networks TS Tamir, G Xiong, Z Li, H Tao, Z Shen, B Hu, HM Menkir Ifac-PapersOnline 53 (5), 512-517, 2020 | 28 | 2020 |
| A semisupervised end-to-end framework for transportation mode detection by using gps-enabled sensing devices Z Li, G Xiong, Z Wei, Y Lv, N Anwar, FY Wang IEEE Internet of Things Journal 9 (10), 7842-7852, 2021 | 20 | 2021 |
| STGSA: A novel spatial-temporal graph synchronous aggregation model for traffic prediction Z Wei, H Zhao, Z Li, X Bu, Y Chen, X Zhang, Y Lv, FY Wang IEEE/CAA Journal of Automatica Sinica 10 (1), 226-238, 2023 | 19 | 2023 |
| Dynamic causal graph convolutional network for traffic prediction J Lin, Z Li, Z Li, L Bai, R Zhao, C Zhang 2023 IEEE 19th International Conference on Automation Science and …, 2023 | 15 | 2023 |
| A GPU based parallel genetic algorithm for the orientation optimization problem in 3D printing Z Li, G Xiong, X Zhang, Z Shen, C Luo, X Shang, X Dong, GB Bian, ... 2019 International conference on robotics and automation (ICRA), 2786-2792, 2019 | 14 | 2019 |
| Trip purposes mining from mobile signaling data Z Li, G Xiong, Z Wei, Y Zhang, M Zheng, X Liu, S Tarkoma, M Huang, Y Lv, ... IEEE Transactions on Intelligent Transportation Systems 23 (8), 13190-13202, 2021 | 11 | 2021 |
| YOLOv4 based deep learning algorithm for defects detection and classification of rail surfaces N Anwar, Z Shen, Q Wei, G Xiong, P Ye, Z Li, Y Lv, H Zhao 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
| Building urban public traffic dynamic network based on CPSS: An integrated approach of big data and AI G Xiong, Z Li, H Wu, S Chen, X Dong, F Zhu, Y Lv Applied Sciences 11 (3), 1109, 2021 | 8 | 2021 |
| TrajSGAN: A Semantic-guiding adversarial network for Urban trajectory generation G Xiong, Z Li, M Zhao, Y Zhang, Q Miao, Y Lv, FY Wang IEEE Transactions on Computational Social Systems, 2023 | 7 | 2023 |
| Discover trip purposes from cellular network data with topic modeling X Zhao, Z Li, Y Zhang, Y Lv IEEE Intelligent Transportation Systems Magazine 14 (4), 37-46, 2020 | 7 | 2020 |
| Recurrent attention unit: A simple and effective method for traffic prediction Z Wei, Z Li, C Wang, Y Chen, Q Miao, Y Lv, FY Wang 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 6 | 2021 |
| Spatial-temporal large language model for traffic prediction C Liu, S Yang, Q Xu, Z Li, C Long, Z Li, R Zhao arXiv preprint arXiv:2401.10134, 2024 | 5 | 2024 |
| Mm-dag: Multi-task dag learning for multi-modal data-with application for traffic congestion analysis T Lan, Z Li, Z Li, L Bai, M Li, F Tsung, W Ketter, R Zhao, C Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Ordinal optimization for optimal orientation problems in 3D printing C Luo, G Xiong, Z Li, Z Shen, L Wan, MC Zhou, FY Wang IFAC-PapersOnLine 53 (5), 97-102, 2020 | 5 | 2020 |
| 基于图卷积神经网络和注意力机制的短时交通流量预测 李志帅， 吕宜生， 熊刚 交通工程 19 (4), 15-19, 2019 | 5 | 2019 |
| Airport capacity prediction with multisource features: A temporal deep learning approach W Du, S Chen, H Li, Z Li, X Cao, Y Lv IEEE Transactions on Intelligent Transportation Systems 24 (1), 615-630, 2022 | 3 | 2022 |
| Urban trip generation forecasting based on gradient boosting algorithm Z Li, G Xiong, Y Zhang, M Zheng, X Dong, Y Lv 2021 IEEE 1st International Conference on Digital Twins and Parallel …, 2021 | 3 | 2021 |
| A general scenario-agnostic reinforcement learning for traffic signal control H Jiang, Z Li, Z Li, L Bai, H Mao, W Ketter, R Zhao IEEE Transactions on Intelligent Transportation Systems, 2024 | 2 | 2024 |
