Bo Yin

Orcid: 0000-0001-9574-7032

Affiliations:
  • Illinois Institute of Technology, Chicago, USA


According to our database1, Bo Yin authored at least 28 papers between 2014 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

Sleep-Wake Sensor Scheduling for Minimizing AoI-Penalty in Industrial Internet of Things.
IEEE Internet Things J., 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

Diffie-Hellman in the Air: A Link Layer Approach for In-Band Wireless Pairing.
IEEE Trans. Veh. Technol., 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

Securely Solving Linear Algebraic Equations in a Distributed Framework Enhanced With Communication-Efficient Algorithms.
IEEE Trans. Netw. Sci. Eng., 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
Game Theory Based Charging Solution for Networked Electric Vehicles: A Location-Aware Approach.
IEEE Trans. Veh. Technol., 2019

A Distributed Secure Outsourcing Scheme for Solving Linear Algebraic Equations in Ad Hoc Clouds.
IEEE Trans. Cloud Comput., 2019

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

Diffie-Hellman in the Air: A Link Layer Approach for In-Band Wireless Pairing.
CoRR, 2019

A Cooperative Edge Computing Scheme for Reducing the Cost of Transferring Big Data in 5G Networks.
Proceedings of the 18th IEEE International Conference On Trust, 2019

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

2017
Distributed resource sharing in fog-assisted big data streaming.
Proceedings of the IEEE International Conference on Communications, 2017

Privacy-preserving mobile crowd sensing for big data applications.
Proceedings of the IEEE International Conference on Communications, 2017

Online SLA-Aware Multi-Resource Allocation for Deadline Sensitive Jobs in Edge-Clouds.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Secure device-to-device communications over WiFi direct.
IEEE Netw., 2016

Secure In-Band Bootstrapping for Wireless Personal Area Networks.
IEEE Internet Things J., 2016

Development of Mobile Ad-hoc Networks over Wi-Fi Direct with off-the-shelf Android phones.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

A Location Aware Game Theoretic Approach for Charging Plug-In Hybrid Electric Vehicles.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
A Mobile Cloud Computing Middleware for Low Latency Offloading of Big Data.
Proceedings of the 2015 Workshop on Mobile Big Data, 2015

2014
Secure key establishment for Device-to-Device communications.
Proceedings of the IEEE Global Communications Conference, 2014


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