Spatial-temporal graph attention networks: A deep learning approach for traffic forecasting C Zhang, JQ James, Y Liu IEEE Access 7, 166246-166256, 2019 | 95 | 2019 |
FASTGNN: A topological information protected federated learning approach for traffic speed forecasting C Zhang, S Zhang, JQ James, S Yu IEEE Transactions on Industrial Informatics 17 (12), 8464-8474, 2021 | 53 | 2021 |
Challenges and future directions of secure federated learning: a survey K Zhang, X Song, C Zhang, S Yu Frontiers of computer science 16, 1-8, 2022 | 30 | 2022 |
Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach C Zhang, Y Zhu, C Markos, S Yu, JQ James IEEE Internet of Things Journal 9 (14), 11868-11882, 2021 | 11 | 2021 |
Long-term origin-destination demand prediction with graph deep learning X Zou, S Zhang, C Zhang, JQ James, E Chung IEEE Transactions on Big Data 8 (6), 1481-1495, 2021 | 11 | 2021 |
Fedgru: Privacy-preserving traffic flow prediction via federated learning Y Liu, S Zhang, C Zhang, JQ James 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 11 | 2020 |
Complicating the social networks for better storytelling: An empirical study of Chinese historical text and novel C Zhang, Q Zhang, S Yu, JQ James, X Song IEEE Transactions on Computational Social Systems 8 (3), 754-767, 2021 | 9 | 2021 |
A communication-efficient federated learning scheme for iot-based traffic forecasting C Zhang, L Cui, S Yu, JQ James IEEE Internet of Things Journal 9 (14), 11918-11931, 2021 | 8 | 2021 |
Graph-based traffic forecasting via communication-efficient federated learning C Zhang, S Zhang, S Yu, JQ James 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2041-2046, 2022 | 6 | 2022 |
TSTNet: a sequence to sequence transformer network for spatial-temporal traffic prediction X Song, Y Wu, C Zhang Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 6 | 2021 |
Learn travel time distribution with graph deep learning and generative adversarial network X Song, C Zhang, JQ James 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 5 | 2021 |
An enhanced motif graph clustering-based deep learning approach for traffic forecasting C Zhang, S Zhang, JQ James, S Yu GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 5 | 2020 |
Origin-destination matrix prediction via hexagon-based generated graph Y Yang, S Zhang, C Zhang, JQ James 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 2 | 2021 |
Attention-Driven Recurrent Imputation for Traffic Speed S Zhang, C Zhang, S Zhang, JQ James IEEE Open Journal of Intelligent Transportation Systems 3, 723-737, 2022 | 1 | 2022 |
Towards Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach C Zhang, S Zhang, X Zou, S Yu, JQ James IEEE Internet of Things Journal, 2022 | | 2022 |
GSMI: A Gradient Sign Optimization Based Model Inversion Method Z Tian, C Zhang, L Cui, S Yu AI 2021: Advances in Artificial Intelligence: 34th Australasian Joint …, 2022 | | 2022 |
Safeguard the Original Data in Federated Learning via Data Decomposition J Lin, C Zhang, S Yu 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | | 2021 |