Linlin You

Orcid: 0000-0001-6287-8095

According to our database1, Linlin You authored at least 39 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An urban-scale spatiotemporal optimization of rooftop photovoltaic charging of electric vehicles.
Urban Inform., 2024

Coupled Attention Networks for Multivariate Time Series Anomaly Detection.
IEEE Trans. Emerg. Top. Comput., 2024

2023
A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility.
IEEE Trans. Intell. Transp. Syst., April, 2023

An Integrated Approach for the Near Real-Time Parking Occupancy Prediction.
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

Efficiency-Improved Federated Learning Approaches for Time of Arrival Estimation.
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

AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation.
Proceedings of the IEEE Smartworld, 2022

TWAFR-GRU: An Integrated Model for Real-time Charging Station Occupancy Prediction.
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

Dynamic Visual SLAM Integrated with IMU for Unmanned Scenarios.
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

A Synergetic Orchestration of Objects, Data, and Services to Enable Smart Cities.
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
Mining Place Design Knowledge from Multi-source Data in an Informed Design Platform.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016
CITY FEED: A Pilot System of Citizen-Sourcing for City Issue Management.
ACM Trans. Intell. Syst. Technol., 2016

Informed Design Platform: Interpreting "Big Data" to Adaptive Place Designs.
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
Personal Mobility Service System in Urban Areas: The IRMA Project.
Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015

A Threefold Similarity Analysis of Crowdsourcing Feeds.
Proceedings of the International Conference on Service Science, 2015

SLM as a Third Party Service in Cloud Environment: A Reference Framework.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2014
Service Level Management (SLM) in Cloud Computing - Third Party SLM Framework.
Proceedings of the 2014 IEEE 23rd International WETICE Conference, 2014

CITY FEED: A Crowdsourcing System for City Governance.
Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

Social data analysis framework in cloud and Mobility Analyzer for Smarter Cities.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

Mobility Service Systems: Guidelines for a possible paradigm and a case study.
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

A Pilot Crowdsourced City Governance System: CITY FEED.
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


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