Linlin You
Orcid: 0000-0001-6287-8095
According to our database1,
Linlin You
authored at least 54 papers
between 2013 and 2024.
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Bibliography
2024
A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction.
IEEE Trans. Intell. Transp. Syst., October, 2024
IEEE Trans. Knowl. Data Eng., September, 2024
AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection.
IEEE Trans. Intell. Transp. Syst., August, 2024
FMGCN: Federated Meta Learning-Augmented Graph Convolutional Network for EV Charging Demand Forecasting.
IEEE Internet Things J., July, 2024
SLMFed: A Stage-Based and Layerwise Mechanism for Incremental Federated Learning to Assist Dynamic and Ubiquitous IoT.
IEEE Internet Things J., May, 2024
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems.
ACM Trans. Intell. Syst. Technol., April, 2024
IEEE Netw., March, 2024
Database J. Biol. Databases Curation, January, 2024
An urban-scale spatiotemporal optimization of rooftop photovoltaic charging of electric vehicles.
Urban Inform., 2024
From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research.
Comput. Environ. Urban Syst., 2024
IEEE Trans. Emerg. Top. Comput., 2024
A knowledge distillation-guided equivariant graph neural network for improving protein interaction site prediction performance.
Knowl. Based Syst., 2024
Inf. Sci., 2024
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients.
CoRR, 2024
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility.
IEEE Trans. Intell. Transp. Syst., April, 2023
IEEE Trans. Intell. Transp. Syst., April, 2023
Deep solar PV refiner: A detail-oriented deep learning network for refined segmentation of photovoltaic areas from satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023
A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction.
CoRR, 2023
FedRSM: Representational-Similarity-Based Secured Model Uploading for Federated Learning.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023
2022
A Federated Mixed Logit Model for Personal Mobility Service in Autonomous Transportation Systems.
Syst., 2022
Autonomous Transportation Systems and Services Enabled by the Next-Generation Network.
IEEE Netw., 2022
A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement.
IEEE Internet Things J., 2022
Proceedings of the IEEE Smartworld, 2022
Proceedings of the IEEE Smartworld, 2022
Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn.
Proceedings of the Knowledge Science, Engineering and Management, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Reinforcement Learning Based Incentive Mechanism for Federated Meta Learning: A Game-Theoretic Perspective.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
2021
Commercial Vehicle Activity Prediction With Imbalanced Class Distribution Using a Hybrid Sampling and Gradient Boosting Approach.
IEEE Trans. Intell. Transp. Syst., 2021
An Ensemble Net of Convolutional Auto-Encoder and Graph Auto-Encoder for Auto-Diagnosis.
IEEE Trans. Cogn. Dev. Syst., 2021
Knowledge Graph-based Network Analysis on the Elements of Autonomous Transportation System.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
2020
A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization.
IEEE Trans. Intell. Transp. Syst., 2020
2019
Harnessing Multi-Source Data about Public Sentiments and Activities for Informed Design.
IEEE Trans. Knowl. Data Eng., 2019
IEEE Internet Things J., 2019
2018
Future Mobility Sensing: An Intelligent Mobility Data Collection and Visualization Platform.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Next-generation freight vehicle surveys: Supplementing truck GPS tracking with a driver activity survey.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Proceedings of the IEEE International Conference on Big Knowledge, 2017
2016
ACM Trans. Intell. Syst. Technol., 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Exploring the utilization of places through a scalable "Activities in Places" analysis mechanism.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
SAPAM: a scalable "activities in places" analysis mechanism for informed place design.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016
Exploring public sentiments for livable places based on a crowd-calibrated sentiment analysis mechanism.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015
Proceedings of the International Conference on Service Science, 2015
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015
2014
Proceedings of the 2014 IEEE 23rd International WETICE Conference, 2014
Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
2013
Cloud Computing: The Issue of Service Quality: An Overview of Cloud Service Level Management Architectures.
Proceedings of the Fifth International Conference on Service Science and Innovation, 2013
Forecasting in Multi-skill Call Centers: A Multi-agent Multi-service (MAMS) Approach: Research in Progress.
Proceedings of the Fifth International Conference on Service Science and Innovation, 2013