Cong Zhao

Orcid: 0000-0002-9002-4350

Affiliations:

Imperial College London, Department of Computing, UK
Xi'an Jiaotong University, Department of Computer Science and Technology, China (PhD 2017)

According to our database¹, Cong Zhao authored at least 38 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

TelOps: AI-Driven Operations and Maintenance for Telecommunication Networks.

[BibT_eX]

[DOI]

IEEE Commun. Mag., April, 2024

Robust Saliency-Driven Quality Adaptation for Mobile 360-Degree Video Streaming.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., February, 2024

Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

FtlSPG: A Federated Transfer Learning Framework for Personalized Safety Protective Gear Detection in Electric Power Industry.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2024

FedLED: Label-Free Equipment Fault Diagnosis With Vertical Federated Transfer Learning.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Pudica: Toward Near-Zero Queuing Delay in Congestion Control for Cloud Gaming.

[BibT_eX]

[DOI]

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Generative Model-Based Feature Knowledge Distillation for Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

WaterEdge: Edge-Cloud Collaborative Intelligent Coagulation System for Group-Level Water Treatment Plants.

[BibT_eX]

[DOI]

IEEE Syst. J., December, 2023

Lightweight Industrial Image Classifier Based on Federated Few-Shot Learning.

[BibT_eX]

[DOI]

Xinyue Sun

Shusen Yang

Cong Zhao

IEEE Trans. Ind. Informatics, June, 2023

MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence.

[BibT_eX]

[DOI]

IEEE Internet Things J., May, 2023

RTCoInfer: Real-Time Collaborative CNN Inference for Stream Analytics on Ubiquitous Images.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., April, 2023

Delay-Oriented Scheduling in 5G Downlink Wireless Networks Based on Reinforcement Learning With Partial Observations.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., February, 2023

ECCVideo: A Scalable Edge Cloud Collaborative Video Analysis System.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2023

FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2023

ACE: Toward Application-Centric, Edge-Cloud, Collaborative Intelligence.

[BibT_eX]

[DOI]

Commun. ACM, 2023

Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

The Design of User-Centric Mobile Crowdsensing with Cooperative D2D Communications.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2022

CNNPC: End-Edge-Cloud Collaborative CNN Inference With Joint Model Partition and Compression.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

IndustEdge: A Time-Sensitive Networking Enabled Edge-Cloud Collaborative Intelligent Platform for Smart Industry.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

PCFed: Privacy-Enhanced and Communication-Efficient Federated Learning for Industrial IoTs.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

Exploration Across Small Silos: Federated Few-Shot Learning on Network Edge.

[BibT_eX]

[DOI]

IEEE Netw., 2022

EC²Detect: Real-Time Online Video Object Detection in Edge-Cloud Collaborative IoT.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

IRONWAN: Increasing Reliability of Overlapping Networks in LoRaWAN.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence.

[BibT_eX]

[DOI]

CoRR, 2022

LDP-IDS: Local Differential Privacy for Infinite Data Streams.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

On the Data Quality in Privacy-Preserving Mobile Crowdsensing Systems with Untruthful Reporting.

[BibT_eX]

[DOI]

Cong Zhao

Shusen Yang

Julie A. McCann

IEEE Trans. Mob. Comput., 2021

MPCSM: Microservice Placement for Edge-Cloud Collaborative Smart Manufacturing.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

2020

OL4EL: Online Learning for Edge-Cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2020

SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning.

[BibT_eX]

[DOI]

Shibo Wang

Shusen Yang

Cong Zhao

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Asynchronous Federated Learning with Differential Privacy for Edge Intelligence.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Data Quality Guarantee for Credible Caching Device Selection in Mobile Crowdsensing Systems.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2018

2017

Rapid, User-Transparent, and Trustworthy Device Pairing for D2D-Enabled Mobile Crowdsourcing.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2017

A User Incentive-Based Scheme Against Dishonest Reporting in Privacy-Preserving Mobile Crowdsensing Systems.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

Cheating-resilient incentive scheme for mobile crowdsensing systems.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Annual Consumer Communications & Networking Conference, 2017

2015

Trustworthy Device Pairing for Opportunistic Device-to-Device Communications in Mobile Crowdsourcing Systems.

[BibT_eX]

[DOI]

Proceedings of the 2015 Workshop on Wireless of the Students, 2015

A Systematic Key Management mechanism for practical Body Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2013

On effectiveness of integrating intermittent resources and electricity vehicles in the smart grid.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2013

Cong Zhao

Timeline

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