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Chenhan Zhang
Chenhan Zhang
Verified email at student.uts.edu.au
Title
Cited by
Cited by
Year
Spatial-temporal graph attention networks: A deep learning approach for traffic forecasting
C Zhang, JQ James, Y Liu
IEEE Access 7, 166246-166256, 2019
722019
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
312021
Challenges and future directions of secure federated learning: a survey
K Zhang, X Song, C Zhang, S Yu
Frontiers of computer science 16 (5), 1-8, 2022
122022
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
82020
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
72021
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, 2021
72021
A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting
C Zhang, L Cui, S Yu, JQ James
IEEE Internet of Things Journal, 2021
62021
Towards crowdsourced transportation mode identification: A semi-supervised federated learning approach
C Zhang, Y Zhu, C Markos, S Yu, JQ James
IEEE Internet of Things Journal, 2021
52021
TSTNet: a sequence to sequence transformer network for spatial-temporal traffic prediction
X Song, Y Wu, C Zhang
International Conference on Artificial Neural Networks, 343-354, 2021
52021
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
52020
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
32022
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
22021
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
12021
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
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
2022
GSMI: A Gradient Sign Optimization Based Model Inversion Method
Z Tian, C Zhang, L Cui, S Yu
Australasian Joint Conference on Artificial Intelligence, 67-78, 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
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