Haijun Liao

Orcid: 0000-0002-5936-9246

According to our database1, Haijun Liao authored at least 42 papers between 2007 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Social-Aware Learning-Based Online Energy Scheduling for 5G Integrated Smart Distribution Power Grid.
IEEE Trans. Comput. Soc. Syst., June, 2024

Integration of 6G Signal Processing, Communication, and Computing Based on Information Timeliness-Aware Digital Twin.
IEEE J. Sel. Top. Signal Process., January, 2024

2023
Ultra-Low AoI Digital Twin-Assisted Resource Allocation for Multi-Mode Power IoT in Distribution Grid Energy Management.
IEEE J. Sel. Areas Commun., October, 2023

Collaborative Learning-Based Network Resource Scheduling and Route Management for Multi-Mode Green IoT.
IEEE Trans. Green Commun. Netw., June, 2023

5G MEC-Based Intelligent Computation Offloading in Power Robotic Inspection.
IEEE Wirel. Commun., April, 2023

Priority-aware intelligent device access management for carbon footprint monitoring in sustainable cites and society.
IET Commun., March, 2023

Asynchronous Federated Deep Reinforcement Learning-Based URLLC-Aware Computation Offloading in Space-Assisted Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2023

Cloud-Edge-Device Collaborative Reliable and Communication-Efficient Digital Twin for Low-Carbon Electrical Equipment Management.
IEEE Trans. Ind. Informatics, 2023

Information Timeliness Guaranteed Communication and Energy Control Integration in Multi-Mode Power IoT.
Proceedings of the IEEE Global Communications Conference, 2023

Sensing and Communication Integrated Optimization for Multi-Spectral Electric Equipment Monitoring.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

2022
Secure and Latency-Aware Digital Twin Assisted Resource Scheduling for 5G Edge Computing-Empowered Distribution Grids.
IEEE Trans. Ind. Informatics, 2022

Cloud-Edge-End Collaboration in Air-Ground Integrated Power IoT: A Semidistributed Learning Approach.
IEEE Trans. Ind. Informatics, 2022

Blockchain and Semi-Distributed Learning-Based Secure and Low-Latency Computation Offloading in Space-Air-Ground-Integrated Power IoT.
IEEE J. Sel. Top. Signal Process., 2022

Age-of-Information-Aware Digital Twin Assisted Resource Management for Distributed Energy Scheduling.
Proceedings of the IEEE Global Communications Conference, 2022

Adaptive Learning-Based Secure and Energy-Aware Resource Management for Multi-Mode Low-Carbon PIoT.
Proceedings of the IEEE Global Communications Conference, 2022

Dispatching and Control Information Freshness-Aware Federated Learning for Simplified Power IoT.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Green Internet of Things (IoT): Energy Efficiency Perspective
Wireless Networks, Springer, ISBN: 978-3-030-64053-8, 2021

Learning-Based Intent-Aware Task Offloading for Air-Ground Integrated Vehicular Edge Computing.
IEEE Trans. Intell. Transp. Syst., 2021

Blockchain and Learning-Based Secure and Intelligent Task Offloading for Vehicular Fog Computing.
IEEE Trans. Intell. Transp. Syst., 2021

Rapid glacier Shrinkage and Glacial Lake Expansion of a China-Nepal Transboundary Catchment in the Central Himalayas, between 1964 and 2020.
Remote. Sens., 2021

Learning-Based URLLC-Aware Task Offloading for Internet of Health Things.
IEEE J. Sel. Areas Commun., 2021

Learning-Based Queue-Aware Task Offloading and Resource Allocation for Space-Air-Ground-Integrated Power IoT.
IEEE Internet Things J., 2021

Learning-Based Queue-Aware Task Offloading and Resource Allocation for Air-Ground Integrated PIoT.
Proceedings of the ICC 2021, 2021

Multi-Dimension Resource Allocation for NOMA-Edge Computing-based 6G Power IoT.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Federated Deep Actor-Critic-Based Task Offloading in Air-Ground Electricity IoT.
Proceedings of the IEEE Global Communications Conference, 2021

Blockchain and Learning-Based Computation Offloading in Space-Assisted Power IoT.
Proceedings of the 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2021

2020
Resource Sharing and Task Offloading in IoT Fog Computing: A Contract-Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Licensed and Unlicensed Spectrum Management for Cognitive M2M: A Context-Aware Learning Approach.
IEEE Trans. Cogn. Commun. Netw., 2020

Landsat-Based Estimation of the Glacier Surface Temperature of Hailuogou Glacier, Southeastern Tibetan Plateau, Between 1990 and 2018.
Remote. Sens., 2020

When Vehicular Fog Computing Meets Autonomous Driving: Computational Resource Management and Task Offloading.
IEEE Netw., 2020

Context-Aware Learning-Based Resource Allocation for Ubiquitous Power IoT.
IEEE Internet Things Mag., 2020

Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT.
IEEE Internet Things J., 2020

Learning-Based Energy-Efficient Channel Selection for Edge Computing-Empowered Cognitive Machine-to-Machine Communications.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Task Offloading for Vehicular Edge Computing: A Learning-Based Intent-Aware Approach.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

Energy-Aware and URLLC-Aware Task Offloading for Internet of Health Things.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Reliable Task Offloading for Vehicular Fog Computing Under Information Asymmetry and Information Uncertainty.
IEEE Trans. Veh. Technol., 2019

Task Offloading for Vehicular Fog Computing under Information Uncertainty: A Matching-Learning Approach.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Robust Task Offloading for IoT Fog Computing Under Information Asymmetry and Information Uncertainty.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Learning-Based Energy-Aware Channel Selection for Machine Type Communications.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018
A Distributed and Context-Aware Task Assignment Mechanism for Collaborative Mobile Edge Computing.
Sensors, 2018

Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing.
IEEE Netw., 2018

2007
Rock fracture tracing based on image processing and SVM.
Proceedings of the Third International Conference on Natural Computation, 2007


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