Xiaoyi Fan

Orcid: 0000-0002-1706-5957

Affiliations:
  • Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China
  • University of British Columbia, Department of Electrical and Computer Engineering, Vancouver, BC, Canada
  • Simon Fraser University, School of Computing Science, Burnaby, Canada (PhD 2018)


According to our database1, Xiaoyi Fan authored at least 25 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
AIoT-Empowered Smart Grid Energy Management with Distributed Control and Non-Intrusive Load Monitoring.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

2021
GazMon: Eye Gazing Enabled Driving Behavior Monitoring and Prediction.
IEEE Trans. Mob. Comput., 2021

2020
Car4Pac: Last Mile Parcel Delivery Through Intelligent Car Trip Sharing.
IEEE Trans. Intell. Transp. Syst., 2020

2019
When RFID Meets Deep Learning: Exploring Cognitive Intelligence for Activity Identification.
IEEE Wirel. Commun., 2019

Backup Battery Analysis and Allocation against Power Outage for Cellular Base Stations.
IEEE Trans. Mob. Comput., 2019

Exploiting the edge power: an edge deep learning framework.
CCF Trans. Netw., 2019

2018
Channel-Aware Rate Adaptation for Backscatter Networks.
IEEE/ACM Trans. Netw., 2018

Dependency-Aware Data Locality for MapReduce.
IEEE Trans. Cloud Comput., 2018

TagFree Activity Identification with RFIDs.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Toward Smart and Cooperative Edge Caching for 5G Networks: A Deep Learning Based Approach.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Edge Computing Empowered Generative Adversarial Networks for Realtime Road Sensing.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Eye Gazing Enabled Driving Behavior Monitoring and Prediction.
Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

An Edge Computing Framework for Real-Time Monitoring in Smart Grid.
Proceedings of the IEEE International Conference on Industrial Internet, 2018

Multiple Object Activity Identification Using RFIDs: A Multipath-Aware Deep Learning Solution.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning.
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

2017
i<sup>2</sup>tag: RFID Mobility and Activity Identification Through Intelligent Profiling.
ACM Trans. Intell. Syst. Technol., 2017

CrowdNavi: Demystifying Last Mile Navigation With Crowdsourced Driving Information.
IEEE Trans. Ind. Informatics, 2017

vLocality: Revisiting Data Locality for MapReduce in Virtualized Clouds.
IEEE Netw., 2017

Crowdsourced Road Navigation: Concept, Design, and Implementation.
IEEE Commun. Mag., 2017

Location-Based Augmented Reality With Pervasive Smartphone Sensors: Inside and Beyond Pokemon Go!
IEEE Access, 2017

When deep learning meets edge computing.
Proceedings of the 25th IEEE International Conference on Network Protocols, 2017

BatAlloc: Effective Battery Allocation against Power Outage for Cellular Base Stations.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

2016
Boosting Service Availability for Base Stations of Cellular Networks by Event-driven Battery Profiling.
SIGMETRICS Perform. Evaluation Rev., 2016

Navigating the last mile with crowdsourced driving information.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

On Backup Battery Data in Base Stations of Mobile Networks: Measurement, Analysis, and Optimization.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


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