Shuai Zhang

Orcid: 0000-0001-9062-9539

Affiliations:
  • Illinois Institute of Technology, Department of Electrical and Computer Engineering, Chicago, IL, USA


According to our database1, Shuai Zhang authored at least 18 papers between 2018 and 2023.

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

Timeline

Legend:

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Bibliography

2023
A Self-Supervised Learning Approach for Accelerating Wireless Network Optimization.
IEEE Trans. Veh. Technol., June, 2023

Machine Learning Assisted Capacity Optimization for B5G/6G Integrated Access and Backhaul Networks.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
Topology Aware Deep Learning for Wireless Network Optimization.
IEEE Trans. Wirel. Commun., 2022

An Analytical Study of Selfish Mining Attacks on Chainweb Blockchain.
Proceedings of the 19th Annual International Conference on Privacy, Security & Trust, 2022

2021
Deep Learning for Wireless Networking: The Next Frontier.
IEEE Wirel. Commun., 2021

Deep Reinforcement Learning for Scheduling in Multi-Hop Wireless Networks : Invited Paper.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Optimization of Base Station ON-Off Switching with a Machine Learning Approach.
Proceedings of the ICC 2021, 2021

2020
Energy-Efficient Massive MIMO With Decentralized Precoder Design.
IEEE Trans. Veh. Technol., 2020

Deep Learning Meets Wireless Network Optimization: Identify Critical Links.
IEEE Trans. Netw. Sci. Eng., 2020

Application-Oriented Scheduling for Optimizing the Age of Correlated Information: A Deep-Reinforcement-Learning-Based Approach.
IEEE Internet Things J., 2020

Robust Deep Learning for Wireless Network Optimization.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Selfish Attack on Chainweb Blockchain.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Topology Aware Deep Learning for Wireless Network Optimization.
CoRR, 2019

Only Those Requested Count: Proactive Scheduling Policies for Minimizing Effective Age-of-Information.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Experience-Driven Wireless D2D Network Link Scheduling: A Deep Learning Approach.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Energy Efficient Massive MIMO through Distributed Precoder Design.
CoRR, 2018

Energy-Efficient Beamforming for Massive MIMO with Inter-Cell Interference and Inaccurate CSI.
Proceedings of the 2018 International Conference on Computing, 2018

A DBN-Based Independent Set Learning Algorithm for Capacity Optimization in Wireless Networks.
Proceedings of the IEEE Global Communications Conference, 2018


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