Wenkai Lv

According to our database, Wenkai Lv authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Performance Prediction for Deep Learning Models With Pipeline Inference Strategy.

Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Cheng Zhang, Quan Wang

IEEE Internet Things J., January, 2024

Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing.

Wenkai Lv, Pengfei Yang, Tianyang Zheng, Chengmin Lin, Zhenyi Wang, Minwen Deng, Quan Wang

IEEE Internet Things J., January, 2024

2023

Efficient and accurate compound scaling for convolutional neural networks.

Chengmin Lin, Pengfei Yang, Quan Wang, Zeyu Qiu, Wenkai Lv, Zhenyi Wang

Neural Networks, October, 2023

Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks.

Wenkai Lv, Pengfei Yang, Yunqing Ding, Zhenyi Wang, Chengmin Lin, Quan Wang

Remote. Sens., July, 2023

Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing.

Wenkai Lv, Pengfei Yang, Tianyang Zheng, Bijie Yi, Yunqing Ding, Quan Wang, Minwen Deng

IEEE Internet Things J., 2023

2022

Microservice Deployment in Edge Computing Based on Deep Q Learning.

Wenkai Lv, Quan Wang, Pengfei Yang, Yunqing Ding, Bijie Yi, Zhenyi Wang, Chengmin Lin

IEEE Trans. Parallel Distributed Syst., 2022

Confidentiality and Integrity Schemes for Multicore Shared Memory Systems.

Pengfei Yang, Wenkai Lv, Jiayang Huang, Quan Wang, Xiaokun Huang, Kun Xie

J. Circuits Syst. Comput., 2022