| Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses Y Deng, T Zhang, G Lou, X Zheng, J Jin, Q Han IEEE Transactions on Industrial Informatics, 2021 | 94 | 2021 |
| Latency estimation for fog-based internet of things J Li, T Zhang, J Jin, Y Yang, D Yuan, L Gao 2017 27th International Telecommunication Networks and Applications …, 2017 | 48 | 2017 |
| Achieving Democracy in Edge Intelligence: A Fog-based Collaborative Learning Scheme T Zhang, Z Shen, J Jin, X Zheng, A Tagami, X Cao IEEE Internet of Things Journal, 2020 | 39 | 2020 |
| Rate-adaptive fog service platform for heterogeneous IoT applications T Zhang, J Jin, X Zheng, Y Yang IEEE Internet of Things Journal 7 (1), 176-188, 2019 | 23 | 2019 |
| When RSSI Encounters Deep Learning: An Area Localization Scheme for Pervasive Sensing Systems Z Shen*, T Zhang*, A Tagami, J Jin Journal of Network and Computer Applications, 2020 | 21 | 2020 |
| ICCF: An Information-Centric Collaborative Fog Platform for Building Energy Management Systems Z Shen, T Zhang, J Jin, K Yokota, A Tagami, T Higashino IEEE Access 7, 40402-40415, 2019 | 17 | 2019 |
| STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks G Lou, Y Liu, T Zhang*, X Zheng DLG-AAAI’22, 2021 | 12 | 2021 |
| Energy-sustainable fog system for mobile web services in infrastructure-less environments Q Zheng, J Jin, T Zhang, J Li, L Gao, Y Xiang IEEE Access 7, 161318-161328, 2019 | 11 | 2019 |
| Microarray analysis of the transcriptome of the Escherichia coli (E. coli) regulated by cinnamaldehyde (CMA) S Lin, R Liang, T Zhang, Y Yuan, S Shen, H Ye Food and Agricultural Immunology 28 (3), 500-515, 2017 | 8 | 2017 |
| Data-driven Edge Computing Fabric for Intelligent Building Energy Management Systems Z Shen, J Jin, T Zhang, A Tagami, T Higashino, Q Han IEEE Industrial Electronics Magazine, 2021 | 7 | 2021 |
| ESDA: An Energy-Saving Data Analytics Fog Service Platform T Zhang, Z Shen, J Jin, A Tagami, X Zheng, Y Yang International Conference on Service-Oriented Computing (ICSOC), 171-185, 2019 | 7 | 2019 |
| ELECT: Energy-efficient intelligent edge–cloud collaboration for remote IoT services J Yuan, H Xiao, Z Shen, T Zhang, J Jin Future Generation Computer Systems 147, 179-194, 2023 | 6 | 2023 |
| DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation F Zhu, M Zhong, X Yang, L Li, L Yu, T Zhang, J Zhou, C Chen, F Wu, G Liu, ... ICDE, 2023 | 6 | 2023 |
| A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments T Zhang, Z Shen, J Jin, X Zheng IEEE International Conference on Pervasive Computing and Communications (PerCom), 2020 | 6 | 2020 |
| AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees R Liang, T Zhang*, Y Lu, Z Huang, Y Liu EMNLP, 2022 | 5* | 2022 |
| RA-FSD: A Rate-Adaptive Fog Service Delivery Platform T Zhang, J Jin, Y Yang International Conference on Service-Oriented Computing (ICSOC), 246-254, 2018 | 5 | 2018 |
| An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning T Zhang, Y Liu, Z Shen, R Xu, X Chen, X Huang, X Zheng IEEE Transactions on Artificial Intelligence, 2023 | 4* | 2023 |
| GPS: A Policy-driven Sampling Approach for Graph Representation Learning T Zhang, Y Liu, X Chen, X Huang, F Zhu, X Zheng DLG-KDD’22, 2021 | 4 | 2021 |
| Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs T Zhang, Y Liu, Z Shen, X Ma, X Chen, X Huang, J Yin, J Jin arXiv preprint arXiv:2307.03411, 2023 | 1 | 2023 |
| Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks T Zhang, Y Liu, Y Yao, Y Xia, X Chen, X Huang, J Jin DLG-AAAI’23, 2022 | 1 | 2022 |
Jiong JinProfessor, Swinburne University of Technology, Melbourne, AustraliaEmail confirmado em swin.edu.au
