Jin Wang

According to our database, Jin Wang authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications.

Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang

IEEE Trans. Cybern., December, 2024

Memetic Algorithm for Multi-objective Virtual Network Slice Configuration.

Qinan Chen, Qiqi Xia, Kaixuan Sun, Jin Wang, Bo Yuan

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Online Service Migration in Mobile Edge With Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach.

Jin Wang, Jia Hu, Geyong Min, Qiang Ni, Tarek A. El-Ghazawi

IEEE Trans. Mob. Comput., November, 2023

Federated Ensemble Model-Based Reinforcement Learning in Edge Computing.

Jin Wang, Jia Hu, Jed Mills, Geyong Min, Ming Xia, Nektarios Georgalas

IEEE Trans. Parallel Distributed Syst., June, 2023

Accelerating Federated Learning With a Global Biased Optimiser.

Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang

IEEE Trans. Computers, June, 2023

Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications.

Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang

CoRR, 2023

2022

Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning.

Jin Wang, Jia Hu, Geyong Min, Wenhan Zhan, Albert Y. Zomaya, Nektarios Georgalas

IEEE Trans. Computers, 2022

2021

Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning.

Jin Wang, Jia Hu, Geyong Min, Albert Y. Zomaya, Nektarios Georgalas

IEEE Trans. Parallel Distributed Syst., 2021

Data-Augmentation-Based Cellular Traffic Prediction in Edge-Computing-Enabled Smart City.

Zi Wang, Jia Hu, Geyong Min, Zhiwei Zhao, Jin Wang

IEEE Trans. Ind. Informatics, 2021

Federated Ensemble Model-based Reinforcement Learning.

Jin Wang, Jia Hu, Jed Mills, Geyong Min

CoRR, 2021

2020

Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing.

Wenhan Zhan, Chunbo Luo, Jin Wang, Chao Wang, Geyong Min, Hancong Duan, Qingxin Zhu

IEEE Internet Things J., 2020

Online Service Migration in Edge Computing with Incomplete Information: A Deep Recurrent Actor-Critic Method.

Jin Wang, Jia Hu, Geyong Min

CoRR, 2020

2019

Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning.

Jin Wang, Jia Hu, Geyong Min, Wenhan Zhan, Qiang Ni, Nektarios Georgalas

IEEE Commun. Mag., 2019

Deep Reinforcement Learning-Based Computation Offloading in Vehicular Edge Computing.

Wenhan Zhan, Chunbo Luo, Jin Wang, Geyong Min, Hancong Duan

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2016

Goldfish: In-Memory Massive Parallel Processing SQL Engine Based on Columnar Store.

Jin Wang, Hancong Duan, Geyong Min, Guangqiang Ying, Song Zheng

Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016