Li Li

Orcid: 0000-0002-2044-8289

Affiliations:
  • University of Macau, Macau
  • Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China (former)
  • Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA (PhD 2018)


According to our database1, Li Li authored at least 43 papers between 2014 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
AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving.
IEEE Trans. Parallel Distributed Syst., December, 2023

GraphCS: Graph-based client selection for heterogeneity in federated learning.
J. Parallel Distributed Comput., July, 2023

PAGroup: Privacy-aware grouping framework for high-performance federated learning.
J. Parallel Distributed Comput., May, 2023

SmartDL: energy-aware decremental learning in a mobile-based federation for geo-spatial system.
Neural Comput. Appl., February, 2023

A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices.
IEEE Trans. Mob. Comput., 2023

Breaking On-device Training Memory Wall: A Systematic Survey.
CoRR, 2023

FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

FedCoop: Cooperative Federated Learning for Noisy Labels.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy.
IEEE Trans. Dependable Secur. Comput., 2022

Performance optimization of autonomous driving control under end-to-end deadlines.
Real Time Syst., 2022

FGFL: A blockchain-based fair incentive governor for Federated Learning.
J. Parallel Distributed Comput., 2022

Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey.
IEEE Internet Things J., 2022

FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

LoADPart: Load-Aware Dynamic Partition of Deep Neural Networks for Edge Offloading.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Federated Noisy Client Learning.
CoRR, 2021

DEAL: Decremental Energy-Aware Learning in a Federated System.
CoRR, 2021

Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales.
Concurr. Comput. Pract. Exp., 2021

SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

FIFL: A Fair Incentive Mechanism for Federated Learning.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020
FLSim: An Extensible and Reusable Simulation Framework for Federated Learning.
Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020

Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

HySync: Hybrid Federated Learning with Effective Synchronization.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System.
Proceedings of the IEEE Real-Time Systems Symposium, 2019

Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

FFD: A Federated Learning Based Method for Credit Card Fraud Detection.
Proceedings of the Big Data - BigData 2019, 2019

Exploring federated learning on battery-powered devices.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center.
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

2017
PowerNetS: Coordinating Data Center Network With Servers and Cooling for Power Optimization.
IEEE Trans. Netw. Serv. Manag., 2017

Why "Some" Like It Hot Too: Thermal Attack on Data Centers.
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

SceneMan: Bridging mobile apps with system energy manager via scenario notification.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

Selective Checkpointing for Minimizing Recovery Efforts of Smartphone Apps.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

eDelta: Pinpointing energy deviations in smartphone apps via comparative trace analysis.
Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017

Selective checkpointing for minimizing recovery energy and efforts of smartphone apps.
Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017

2016
Data center power minimization with placement optimization of liquid-cooled servers and free air cooling.
Sustain. Comput. Informatics Syst., 2016

2014
Joint power optimization of data center network and servers with correlation analysis.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization.
Proceedings of the 11th International Conference on Autonomic Computing, 2014

Placement optimization of liquid-cooled servers for power minimization in data centers.
Proceedings of the International Green Computing Conference, 2014


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