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ORCIDRuonan Zhao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j16]Fang Fu
, Yan Wang, Shu Li, Laurence T. Yang, Ruonan Zhao, Yueyue Dai, Zhaohui Yang, Zhicai Zhang:
Incentive Mechanism Against Bounded Rationality for Federated Learning-Enabled Internet of UAVs: A Prospect Theory-Based Approach. IEEE Internet Things J. 11(12): 20958-20969 (2024)- [j15]Ruonan Zhao, Laurence T. Yang, Debin Liu, Xianjun Deng, Xueming Tang, Sahil Garg:
Tensor-Based Secure Truthful Incentive Mechanism for Mobile Crowdsourcing in IoT-Enabled Maritime Transportation Systems. IEEE Trans. Intell. Transp. Syst. 25(5): 3341-3351 (2024) - [j14]Ruonan Zhao, Laurence T. Yang, Debin Liu, Xiaokang Zhou, Xianjun Deng, Xueming Tang:
A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario. IEEE Trans. Intell. Transp. Syst. 25(5): 3535-3547 (2024) - [j13]Debin Liu, Laurence T. Yang, Ruonan Zhao, Xianjun Deng, Chenlu Zhu, Yiheng Ruan:
Multi-Tree Compact Hierarchical Tensor Recurrent Neural Networks for Intelligent Transportation System Edge Devices. IEEE Trans. Intell. Transp. Syst. 25(8): 8719-8729 (2024) - [j12]Debin Liu, Laurence T. Yang, Ruonan Zhao, Jinhua Cui, Xiangli Yang:
An Efficient Tensor-Based Transformer for Industrial Internet of Things. IEEE Trans. Netw. Sci. Eng. 11(3): 2574-2585 (2024) - [j11]Ruonan Zhao, Laurence T. Yang, Debin Liu, Wanli Lu, Chenlu Zhu, Yiheng Ruan:
Tensor-Empowered LSTM for Communication-Efficient and Privacy-Enhanced Cognitive Federated Learning in Intelligent Transportation Systems. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 33:1-33:21 (2024) - [c6]Jinglin Zhao, Debin Liu, Laurence T. Yang, Ruonan Zhao, Zheng Wang, Zhe Li:
TD3D: Tensor-based Discrete Diffusion Process for 3D Shape Generation. ICME 2024: 1-6 - 2023
- [j10]Laurence T. Yang, Ruonan Zhao, Debin Liu, Wanli Lu, Xianjun Deng:
Tensor-Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems. IEEE Commun. Surv. Tutorials 25(3): 1909-1940 (2023) - [j9]Ruonan Zhao, Laurence T. Yang, Debin Liu, Wanli Lu:
Tensor-Enabled Communication-Efficient and Trustworthy Federated Learning for Heterogeneous Intelligent Space-Air-Ground-Integrated IoT. IEEE Internet Things J. 10(23): 20285-20296 (2023) - [j8]Ruonan Zhao, Zhabko Andrey Viktorovich, Junfeng Li, Chuang Chen, Meinan Zheng:
A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset. Remote. Sens. 15(21): 5244 (2023) - [j7]Xuejuan Shao, Ruonan Zhao, Jinggang Zhang, Zhimei Chen, Zhicheng Zhao:
An interval type-2 fuzzy linear quadratic regulator method for an overhead crane. Trans. Inst. Meas. Control 45(9): 1634-1645 (2023) - [c5]Qidong Wu, Xuemei Fu, Xiangli Yang, Ruonan Zhao, Chengqian Wu, Tinghua Zhang:
Semi-asynchronous Federated Learning Optimized for NON-IID Data Communication based on Tensor Decomposition. ISPA/BDCloud/SocialCom/SustainCom 2023: 524-530 - [c4]Ruonan Zhao, Xiangwu Ding:
Enhancing BERT-Based Chinese Address Recognition Model with Tag Revision Module. ICISE 2023: 253-258 - [c3]Chengqian Wu, Xuemei Fu, Xiangli Yang, Ruonan Zhao, Qidong Wu, Tinghua Zhang:
CP-Decomposition Based Federated Learning with Shapley Value Aggregation. ICPADS 2023: 571-577 - 2022
- [j6]Debin Liu, Laurence T. Yang, Ruonan Zhao, Jiawei Wang, Xia Xie:
Lightweight Tensor Deep Computation Model With Its Application in Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23(3): 2678-2687 (2022) - [j5]Ruonan Zhao, Laurence T. Yang, Debin Liu, Xianjun Deng, Yijun Mo:
A Tensor-Based Truthful Incentive Mechanism for Blockchain-Enabled Space-Air-Ground Integrated Vehicular Crowdsensing. IEEE Trans. Intell. Transp. Syst. 23(3): 2853-2862 (2022) - [j4]Debin Liu, Laurence T. Yang, Puming Wang, Ruonan Zhao, Qingchen Zhang:
TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 41:1-41:17 (2022)
2010 – 2019
- 2018
- [j3]Ruonan Zhao, Lichen Zhang, Xiaoming Wang, Chunyu Ai, Fei Hao, Yaguang Lin, Lei Shi:
A novel energy-efficient probabilistic routing method for mobile opportunistic networks. EURASIP J. Wirel. Commun. Netw. 2018: 263 (2018) - [j2]Yaguang Lin, Xiaoming Wang, Fei Hao, Liang Wang, Lichen Zhang, Ruonan Zhao:
An on-demand coverage based self-deployment algorithm for big data perception in mobile sensing networks. Future Gener. Comput. Syst. 82: 220-234 (2018) - [c2]Ruonan Zhao, Lichen Zhang, Xiaoming Wang, Chunyu Ai, Fei Hao, Yaguang Lin:
An Efficient Energy-Aware Probabilistic Routing Approach for Mobile Opportunistic Networks. WASA 2018: 671-682 - 2017
- [j1]Ruonan Zhao, Xiaoming Wang, Lichen Zhang, Yaguang Lin:
A social-aware probabilistic routing approach for mobile opportunistic social networks. Trans. Emerg. Telecommun. Technol. 28(12) (2017) - [c1]Xinyan Wang, Xiaoming Wang, Lichen Zhang, Yaguang Lin, Ruonan Zhao:
A Routing Algorithm Based on the Prediction of Node Meeting Location in Opportunistic Networks. CWSN 2017: 285-295
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