Xiaohan Yu

Orcid: 0000-0001-8448-6287

Affiliations:
  • Zhejiang Gongshang University, School of Information and Electronic Engineering, Department of Computer and Communications, China
  • Korea University, Department of Electrical Engineering, Seoul, Korea (PhD 2015)
  • Harbin Institute of Technology, Weihai, China (former)


According to our database1, Xiaohan Yu authored at least 15 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Practical and Efficient Coded Transmission for Full-Duplex Relay Networks Without CSI.
IEEE/ACM Trans. Netw., June, 2024

A Novel Truth Discovery Approach for Health Recommendation Systems.
IEEE Trans. Consumer Electron., February, 2024

Minimum-Delay Beam Scheduling Leveraging Reflections for Switched Beamforming Systems.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023
Intelligent deep reinforcement learning-based scheduling in relay-based HetNets.
EURASIP J. Wirel. Commun. Netw., December, 2023

2022
Channel-Aware Scheduling for Coded Packet Broadcasting in Full-Duplex Relay Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Optimal Multicast Scheduling for Switched Beamforming Systems Leveraging Reflections.
Proceedings of the 96th Vehicular Technology Conference, 2022

2020
A Random Walk-Based Energy-Aware Compressive Data Collection for Wireless Sensor Networks.
Wirel. Commun. Mob. Comput., 2020

Reversible data hiding for binary images based on adaptive overlapping pattern.
EURASIP J. Inf. Secur., 2020

SVM-BiLSTM: A Fault Detection Method for the Gas Station IoT System Based on Deep Learning.
IEEE Access, 2020

Low-Complexity Coded Transmission Without CSI for Full-Duplex Relay Networks.
Proceedings of the IEEE Global Communications Conference, 2020

2017
Energy-Efficient Collection of Sparse Data in Wireless Sensor Networks Using Sparse Random Matrices.
ACM Trans. Sens. Networks, 2017

Joint routing and scheduling for data collection with compressive sensing to achieve order-optimal latency.
Int. J. Distributed Sens. Networks, 2017

2013
Sufficient Conditions on Stable Recovery of Sparse Signals With Partial Support Information.
IEEE Signal Process. Lett., 2013

Compressive data aggregation in wireless sensor networks using sub-Gaussian random matrices.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

2011
Retrieval of the Extreme Values under Deadline Constraints in Wireless Sensor Networks.
Sensors, 2011


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