Ke Luo

According to our database, Ke Luo authored at least 21 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CoDrone: Autonomous Drone Navigation Assisted by Edge and Cloud Foundation Models.

Pengyu Chen, Tao Ouyang, Ke Luo, Weijie Hong, Xu Chen

IEEE Internet Things J., 2026

2025

Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm.

Ke Luo, Kongyange Zhao, Tao Ouyang, Xiaoxi Zhang, Zhi Zhou, Hao Wang, Xu Chen

IEEE Trans. Mob. Comput., January, 2025

2024

Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services.

Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou

IEEE/ACM Trans. Netw., February, 2024

Generative Model-Based Edge-Assisted Object Detection in Bandwidth-Constrained Network.

Jiayuan Liu, Ke Luo, Hao Wang, Xu Chen

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

MEGA: Mesh-Aligned 3DGS Towards Geometry-Preserving Online Reconstruction.

Ke Luo, Shengyuan Ye, Tao Ouyang, Zhi Zhou

Proceedings of the Network and Parallel Computing, 2024

MIX3D: A Mixed Representation for Communication-Efficient Distributed 3DGS Training.

Ke Luo, Kongyange Zhao, Shengyuan Ye, Tao Ouyang, Xu Chen

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

2023

BeeFlow: Behavior tree-based Serverless workflow modeling and scheduling for resource-constrained edge clusters.

Ke Luo, Tao Ouyang, Zhi Zhou, Xu Chen

J. Syst. Archit., October, 2023

Behavior Tree-based Workflow Modeling and Scheduling for Serverless Edge Computing.

Ke Luo, Tao Ouyang, Zhi Zhou, Xu Chen

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading.

Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen

Proceedings of the IEEE International Conference on Communications, 2023

Eco-SLAM: Resource-Efficient Edge-Assisted Collaborative Visual SLAM System.

Wenzhong Ou, Daipeng Feng, Ke Luo, Xu Chen

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping.

Peng Huang, Liekang Zeng, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu

IEEE Internet Things J., 2022

Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing.

Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training.

Shengyuan Ye, Liekang Zeng, Qiong Wu, Ke Luo, Qingze Fang, Xu Chen

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping.

Peng Huang, Liekang Zeng, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu

CoRR, 2021

Deep Reinforcement Learning for Intelligent Cloud Resource Management.

Zhi Zhou, Ke Luo, Xu Chen

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

ColaSLAM: Real-Time Multi-Robot Collaborative Laser SLAM via Edge Computing.

Peng Huang, Liekang Zeng, Ke Luo, Jinhong Guo, Zhi Zhou, Xu Chen

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020

Compressive Sensing based Predictive Online Scheduling with Task Colocation in Cloud Data Center.

Yunhin Chan, Ke Luo, Xu Chen

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

AoI-driven Fresh Situation Awareness by UAV Swarm: Collaborative DRL-based Energy-Efficient Trajectory Control and Data Processing.

Wen Fan, Ke Luo, Shuai Yu, Zhi Zhou, Xu Chen

Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2019

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing.

Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang

Proc. IEEE, 2019

ERP: Edge Resource Pooling for Data Stream Mobile Computing.

Junkai Liu, Ke Luo, Zhi Zhou, Xu Chen

IEEE Internet Things J., 2019

2018

A D2D offloading approach to efficient mobile edge resource pooling.

Junkai Liu, Ke Luo, Zhi Zhou, Xu Chen

Proceedings of the 16th International Symposium on Modeling and Optimization in Mobile, 2018