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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Hi, I'm Sheng Liu (刘晟)
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
Fed2A: Federated Learning Mechanism in Asynchronous and Adaptive Modes
Published in Electronics, 2022
Recommended citation: S Liu, Q Chen, and L You, "Fed2A: Federated Learning Mechanism in Asynchronous and Adaptive Modes", Electronics, 11(9):1393, Apr 2022, doi: 10.3390/electronics11091393. https://www.mdpi.com/2079-9292/11/9/1393
Adaptation and Learning to Learn (ALL): An Integrated Approach for Small-Sample Parking Occupancy Prediction
Published in Mathematics, 2022
Recommended citation: H Qu, S Liu, J Li, Y Zhou, and R Liu, "Adaptation and Learning to Learn (ALL): An Integrated Approach for Small-Sample Parking Occupancy Prediction", Mathematics, 10(12):2039, Jun 2022, doi: 10.3390//math10122039. https://www.mdpi.com/2227-7390/10/12/2039
A Triple-step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement
Published in IEEE Internet of Things Journal, 2022
Recommended citation: L. You, S. Liu, Y. Chang and C. Yuen, "A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement," IEEE Internet of Things Journal, vol. 9, no. 23, pp. 24199-24211, Dec 2022, doi: 10.1109/JIOT.2022.3188556. https://ieeexplore.ieee.org/abstract/document/9815310
Federated Architecture for Personal Mobility Service in Autonomous Transportation System
Published in COTA International Conference of Transportation Professionals, 2022
Recommended citation: J He, Z Deng, S Liu, L You, M Zhou, M Cai, and S Cheng, "Federated Architecture for Personal Mobility Service in Autonomous Transportation System",COTA International Conference of Transportation Professionals, Jul 2022: 23-33, doi: 10.1061/9780784484265.003. https://ascelibrary.org/doi/abs/10.1061/9780784484265.003
Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn
Published in International Conference on Knowledge Science, Engineering and Management, 2022
Recommended citation: H Qu, S Liu, Z Guo, L You, and J Li, "Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn", International Conference on Knowledge Science, Engineering and Management, 159-172, Jul 2022, doi: 10.1007/978-3-031-10983-6_13. https://link.springer.com/chapter/10.1007/978-3-031-10983-6_13
TWAFR-GRU: An Integrated Model for Real-Time Charging Station Occupancy Prediction
Published in IEEE International Conference on Ubiquitous Intelligence and Computing, 2022
Recommended citation: Q Chen, S Liu, H Qu, R Zhu, and L You, "TWAFR-GRU: An Integrated Model for Real-Time Charging Station Occupancy Prediction", IEEE International Conference on Ubiquitous Intelligence and Computing, 1611-1618, Dec 2022, doi: 10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00233. https://ieeexplore.ieee.org/document/10189531
AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation
Published in IEEE International Conference on Ubiquitous Intelligence and Computing, 2022
Recommended citation: S Liu, H Qu, Q Chen, W Jian, R Liu, and L You, "AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation", IEEE International Conference on Ubiquitous Intelligence and Computing, 641-648, Dec 2022, doi: 10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00100. https://ieeexplore.ieee.org/document/10189596
ICMFed: An Incremental and Cost-Efficient Mechanism of Federated Meta-Learning for Driver Distraction Detection
Published in Mathematics, 2023
Recommended citation: Z Guo, L You, S Liu, J He, and B Zuo, "ICMFed: An Incremental and Cost-Efficient Mechanism of Federated Meta-Learning for Driver Distraction Detection", Mathematics, 11(8):1867, Apr 2023, doi: 10.3390/math11081867. https://www.mdpi.com/2227-7390/11/8/1867
Federated and Asynchronized Learning for Autonomous and Intelligent Things
Published in IEEE Network, 2023
Recommended citation: L You, S Liu, B Zuo, C Yuen, D Niyato, and H Vincent Poor, "Federated and Asynchronized Learning for Autonomous and Intelligent Things", IEEE Network, vol. 38, no. 2, pp. 286-293, Mar 2024, doi: 10.1109/MNET.2023.3321519. https://ieeexplore.ieee.org/document/10274563
FedRSM: Representational-Similarity-Based Secured Model Uploading for Federated Learning
Published in IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 2023
Recommended citation: G Chen, S Liu, X Yang, T Wang, L You, and F Xia, "FedRSM: Representational-Similarity-Based Secured Model Uploading for Federated Learning", IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 189-196, Nov, 2023, doi: 10.1109/TrustCom60117.2023.00046. https://ieeexplore.ieee.org/abstract/document/10538768
FedRC: Representational Consistency Guided Model Uploading Mechanism for Asynchronous Federated Learning
Published in EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2023
Recommended citation: S Liu, L You, and Y Zhou, "FedRC: Representational Consistency Guided Model Uploading Mechanism for Asynchronous Federated Learning", EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 239-256, Jul 2024, doi: 10.1007/978-3-031-63989-0_12. https://link.springer.com/chapter/10.1007/978-3-031-63989-0_12
AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining
Published in IEEE Transactions on Knowledge and Data Engineering, 2023
Recommended citation: L You, S Liu, T Wang, B Zuo, Y Chang, and C Yuen, "AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining", IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 9, pp. 4411-4427, Sep 2024, doi: 10.1109/TKDE.2023.3332770. https://ieeexplore.ieee.org/document/10316646
AFM3D: An Asynchronous Federated Meta-learning Framework for Driver Distraction Detection
Published in IEEE Transactions on Intelligent Transportation Systems, 2024
Recommended citation: S Liu, L You, R Zhu, B Liu, R Liu, H Yu, and C Yuen, "AFM3D: An Asynchronous Federated Meta-learning Framework for Driver Distraction Detection", IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 8, pp. 9659-9674, Aug 2024, doi: 10.1109/TITS.2024.3357138. https://ieeexplore.ieee.org/document/10423999
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Traffic Big Data Technology
Undergraduate, Sun Yat-Sen University, School of Intelligent Systems Engineering, 2022
Served as a teaching assistent for Instructor Prof. Linlin You in 2021/22 Spring.
Network and Communication Principles
Undergraduate, Sun Yat-Sen University, School of Intelligent Systems Engineering, 2022
Served as a teaching assistent for Instructor Prof. Linlin You in 2022/23 Fall.
Traffic Information Engineering
Postgraduate, Sun Yat-Sen University, School of Intelligent Systems Engineering, 2022
Served as a teaching assistent for Instructor Prof. Linlin You in 2022/23 Spring.
Traffic Big Data Technology
Undergraduate, Sun Yat-Sen University, School of Intelligent Systems Engineering, 2022
Served as a teaching assistent for Instructor Prof. Linlin You in 2022/23 Spring.
Cybersecurity and Privacy Summer School
Postgraduate, KTH, 2024
Served as a teaching assistant for Examiner Prof. Panos Papadimitratom in 2024 Spring.