Jie Xu

Orcid: 0000-0002-0515-1647

Affiliations:
  • University of Miami, Department of Electrical and Computer Engineering, Miami, FL, USA
  • University of California, Los Angeles, CA, USA (PhD 2015)
  • Tsinghua University, Beijing, China (until 2010)


According to our database1, Jie Xu authored at least 135 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
CrossVision: Real-Time On-Camera Video Analysis via Common RoI Load Balancing.
IEEE Trans. Mob. Comput., May, 2024

On the Local Cache Update Rules in Streaming Federated Learning.
IEEE Internet Things J., March, 2024

FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology.
CoRR, 2024

2023
On the Convergence of Multi-Server Federated Learning With Overlapping Area.
IEEE Trans. Mob. Comput., November, 2023

Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost.
J. Frankl. Inst., June, 2023

Automated Customization of On-Device Inference for Quality-of-Experience Enhancement.
IEEE Trans. Computers, May, 2023

Multicore Federated Learning for Mobile-Edge Computing Platforms.
IEEE Internet Things J., April, 2023

NeuE: Automated Neural Network Ensembles for Edge Intelligence.
IEEE Trans. Emerg. Top. Comput., 2023

Online Vertical Federated Learning for Cooperative Spectrum Sensing.
CoRR, 2023

Federated Learning with Instance-Dependent Noisy Label.
CoRR, 2023

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers.
CoRR, 2023

Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning.
CoRR, 2023

Accelerating Hybrid Federated Learning Convergence under Partial Participation.
CoRR, 2023

E<sup>3</sup>Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation.
CoRR, 2023

E3Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

Adversarial Group Linear Bandits and Its Application to Collaborative Edge Inference.
Proceedings of the IEEE INFOCOM 2023, 2023

CPD 2023: The 6th International Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Federated Learning via Indirect Server-Client Communications.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks.
IEEE Trans. Wirel. Commun., 2022

Context-Aware Online Client Selection for Hierarchical Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2022

When Attackers Meet AI: Learning-Empowered Attacks in Cooperative Spectrum Sensing.
IEEE Trans. Mob. Comput., 2022

Learning the Optimal Partition for Collaborative DNN Training With Privacy Requirements.
IEEE Internet Things J., 2022

Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach.
IEEE Internet Things J., 2022

Automated Ensemble for Deep Learning Inference on Edge Computing Platforms.
IEEE Internet Things J., 2022

On the Convergence of Multi-Server Federated Learning with Overlapping Area.
CoRR, 2022

Mobility Improves the Convergence of Asynchronous Federated Learning.
CoRR, 2022

Friends to Help: Saving Federated Learning from Client Dropout.
CoRR, 2022

On Federated Learning with Energy Harvesting Clients.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective.
IEEE Trans. Wirel. Commun., 2021

Collaborative Service Placement for Edge Computing in Dense Small Cell Networks.
IEEE Trans. Mob. Comput., 2021

How to Test the Randomness From the Wireless Channel for Security?
IEEE Trans. Inf. Forensics Secur., 2021

Personalized Education in the Artificial Intelligence Era: What to Expect Next.
IEEE Signal Process. Mag., 2021

Seek Common While Shelving Differences: Orchestrating Deep Neural Networks for Edge Service Provisioning.
IEEE J. Sel. Areas Commun., 2021

Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement.
CoRR, 2021

FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning.
CoRR, 2021

Personalized Education in the AI Era: What to Expect Next?
CoRR, 2021

Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges.
IEEE Commun. Mag., 2021

Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing.
Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021

Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

2020
Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game.
IEEE Trans. Netw. Serv. Manag., 2020

Differential Security Game in Heterogeneous Device-to-Device Offloading Network Under Epidemic Risks.
IEEE Trans. Netw. Sci. Eng., 2020

Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache.
IEEE Trans. Multim., 2020

Human-Behavior and QoE-Aware Dynamic Channel Allocation for 5G Networks: A Latent Contextual Bandit Learning Approach.
IEEE Trans. Cogn. Commun. Netw., 2020

Quantile Context-Aware Social IoT Service Big Data Recommendation With D2D Communication.
IEEE Internet Things J., 2020

Adversarial machine learning based partial-model attack in IoT.
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020

Learning Optimal Sniffer Channel Assignment for Small Cell Cognitive Radio Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Fooling Edge Computation Offloading via Stealthy Interference Attack.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019
Toward Optimal Adaptive Online Shortest Path Routing With Acceleration Under Jamming Attack.
IEEE/ACM Trans. Netw., 2019

Differentially-Private and Trustworthy Online Social Multimedia Big Data Retrieval in Edge Computing.
IEEE Trans. Multim., 2019

Video Big Data Retrieval Over Media Cloud: A Context-Aware Online Learning Approach.
IEEE Trans. Multim., 2019

An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks.
IEEE Trans. Green Commun. Netw., 2019

Budget-Constrained Edge Service Provisioning With Demand Estimation via Bandit Learning.
IEEE J. Sel. Areas Commun., 2019

The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost.
CoRR, 2019

Privacy-Preserving MEC-Enabled Contextual Online Learning via SDN for Service Selection in IoT.
Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2019

Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading.
Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019

2018
Spatio-Temporal Edge Service Placement: A Bandit Learning Approach.
IEEE Trans. Wirel. Commun., 2018

Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication.
IEEE Trans. Wirel. Commun., 2018

Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks.
IEEE/ACM Trans. Netw., 2018

Adaptive Fog Configuration for the Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2018

Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach.
CoRR, 2018

Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dynamic Edge Caching with Popularity Drifting.
Proceedings of the IEEE Information Theory Workshop, 2018

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Course recommendation of MOOC with big data support: A contextual online learning approach.
Proceedings of the IEEE INFOCOM 2018, 2018

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Energy Efficiency Analysis of UAV-Assisted mmWave HetNets.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing.
IEEE Trans. Cogn. Commun. Netw., 2017

A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs.
IEEE J. Sel. Top. Signal Process., 2017

EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks.
IEEE J. Sel. Areas Commun., 2017

Collaborative Service Caching for Edge Computing in Dense Small Cell Networks.
CoRR, 2017

E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing.
CoRR, 2017

A Contextual Bandit Approach for Stream-Based Active Learning.
CoRR, 2017

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing.
CoRR, 2017

Social Intimacy Based IoT Services Mining of Massive Data.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

E<sup>2</sup>M<sup>2</sup>: Energy efficient mobility management in dense small cells with mobile edge computing.
Proceedings of the IEEE International Conference on Communications, 2017

Energy efficient mobile edge computing in dense cellular networks.
Proceedings of the IEEE International Conference on Communications, 2017

Computation Peer Offloading in Mobile Edge Computing with Energy Budgets.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Socially trusted collaborative edge computing in ultra dense networks.
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

Progressive Prediction of Student Performance in College Programs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Predicting Grades.
IEEE Trans. Signal Process., 2016

Personalized Course Sequence Recommendations.
IEEE Trans. Signal Process., 2016

Trend-Aware Video Caching Through Online Learning.
IEEE Trans. Multim., 2016

To Relay or Not to Relay: Learning Device-to-Device Relaying Strategies in Cellular Networks.
IEEE Trans. Mob. Comput., 2016

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening.
IEEE J. Biomed. Health Informatics, 2016

Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors.
IEEE J. Sel. Top. Signal Process., 2016

Bits Learning: User-Adjustable Privacy Versus Accuracy in Internet Traffic Classification.
IEEE Commun. Lett., 2016

Less is More: Participation Incentives in D2D-enhanced Mobile Edge Computing under Infectious DDoS Attacks.
CoRR, 2016

Stochastic Epidemic Networks with Strategic Link Formation.
CoRR, 2016

Popularity-driven content caching.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Online Learning for Offloading and Autoscaling in Renewable-Powered Mobile Edge Computing.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

DARC: Timely Classification with Randomly Delayed Features.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Relaxation for Constrained Decentralized Markov Decision Processes: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Distributed Multi-Agent Online Learning Based on Global Feedback.
IEEE Trans. Signal Process., 2015

Forecasting Popularity of Videos Using Social Media.
IEEE J. Sel. Top. Signal Process., 2015

Mining the Situation: Spatiotemporal Traffic Prediction With Big Data.
IEEE J. Sel. Top. Signal Process., 2015

Efficient Working and Shirking in Information Sharing Networks.
IEEE J. Sel. Areas Commun., 2015

Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks.
IEEE J. Sel. Areas Commun., 2015

Incentive-compatible demand-side management for smart grids based on review strategies.
EURASIP J. Adv. Signal Process., 2015

Caring Analytics for Adults With Special Needs.
IEEE Des. Test, 2015

Timely video popularity forecasting based on social networks.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Personalized Grade Prediction: A Data Mining Approach.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Online Transfer Learning for Differential Diagnosis Determination.
Proceedings of the World Wide Web and Public Health Intelligence, 2015

2014
Incentive design for heterogeneous user-generated content networks.
SIGMETRICS Perform. Evaluation Rev., 2014

Sharing in Networks of Strategic Agents.
IEEE J. Sel. Top. Signal Process., 2014

Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks.
IEEE J. Sel. Areas Commun., 2014

Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks.
IEEE J. Sel. Areas Commun., 2014

Context-Aware Online Spatiotemporal Traffic Prediction.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Incentivizing information sharing in networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Context-driven online learning for activity classification in wireless health.
Proceedings of the IEEE Global Communications Conference, 2014

Silence is gold: Strategic small cell interference management using tokens.
Proceedings of the IEEE Global Communications Conference, 2014

Network evolution with incomplete information and learning.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Interference-Aware Relay Selection Scheme for Two-Hop Relay Networks With Multiple Source-Destination Pairs.
IEEE Trans. Veh. Technol., 2013

Token System Design for Autonomic Wireless Relay Networks.
IEEE Trans. Commun., 2013

Winning the Lottery: Learning Perfect Coordination With Minimal Feedback.
IEEE J. Sel. Top. Signal Process., 2013

Information Sharing in Networks of Strategic Agents.
CoRR, 2013

To Relay or Not to Relay: Learning Relaying Strategies in Cellular Device-to-Device Networks.
CoRR, 2013

A Design Methodology for Distributed Adaptive Stream Mining Systems.
Proceedings of the International Conference on Computational Science, 2013

Rating systems for enhanced cyber-security investments.
Proceedings of the IEEE International Conference on Acoustics, 2013

Learning perfect coordination with minimal feedback in wireless multi-access communications.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Learning relaying strategies in cellular D2D networks with token-based incentives.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013

Learning optimal classifier chains for real-time big data mining.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Social Norm Design for Information Exchange Systems with Limited Observations.
IEEE J. Sel. Areas Commun., 2012

Designing Rating Systems to Promote Mutual Security for Interconnected Networks
CoRR, 2012

Designing incentives for wireless relay networks using tokens.
Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012

Token-Based Incentive Protocol Design for Online Exchange Systems.
Proceedings of the Game Theory for Networks, 2012

Sustaining cooperation in social exchange networks with incomplete global information.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Token economy for online exchange systems.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Designing Exchange for Online Communities
CoRR, 2011

2010
Exploiting Multiuser Diversity in OFDMA Wireless Mesh Networks by Fractional Spatial Reuse.
Proceedings of IEEE International Conference on Communications, 2010


  Loading...