Xing Liu

According to our database, Xing Liu authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Deep Reinforcement Learning for Channel State Information Prediction in Internet of Vehicles.

Xing Liu, Wei Yu, Cheng Qian, David W. Griffith, Nada Golmie

Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023

Using Deep Reinforcement Learning to Automate Network Configurations for Internet of Vehicles.

Xing Liu, Cheng Qian, Wei Yu, David W. Griffith, Avi M. Gopstein, Nada Golmie

IEEE Trans. Intell. Transp. Syst., December, 2023

2022

Toward Deep Q-Network-Based Resource Allocation in Industrial Internet of Things.

Fan Liang, Wei Yu, Xing Liu, David W. Griffith, Nada Golmie

IEEE Internet Things J., 2022

Digital Twin - Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions.

Cheng Qian, Xing Liu, Colin Ripley, Mian Qian, Fan Liang, Wei Yu

Future Internet, 2022

Performance Assessment of Deep Neural Network on Activity Recognition in WiFi Sensing.

Jianchao Song, Cheng Qian, Xing Liu, Hengshuo Liang, Chao Lu, Wei Yu

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

User Position-Based Wireless Sensor Network Deployment Algorithm.

Fan Liang, Fang Yuan, Xing Liu

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Integrated Simulation Platform for Internet of Vehicles.

Xing Liu, Wei Yu, Cheng Qian, David W. Griffith, Nada Golmie

Proceedings of the IEEE International Conference on Communications, 2022

2021

Priority-Aware Reinforcement-Learning-Based Integrated Design of Networking and Control for Industrial Internet of Things.

Hansong Xu, Xing Liu, William Grant Hatcher, Guobin Xu, Weixian Liao, Wei Yu

IEEE Internet Things J., 2021

Toward Deep Transfer Learning in Industrial Internet of Things.

Xing Liu, Wei Yu, Fan Liang, David W. Griffith, Nada Golmie

IEEE Internet Things J., 2021

Toward Computing Resource Reservation Scheduling in Industrial Internet of Things.

Fan Liang, Wei Yu, Xing Liu, David W. Griffith, Nada Golmie

IEEE Internet Things J., 2021

On deep reinforcement learning security for Industrial Internet of Things.

Xing Liu, Wei Yu, Fan Liang, David W. Griffith, Nada Golmie

Comput. Commun., 2021

Towards Online Continuous Reinforcement Learning on Industrial Internet of Things.

Cheng Qian, Wei Yu, Xing Liu, David W. Griffith, Nada Golmie

Proceedings of the 2021 IEEE SmartWorld, 2021

2020

Reinforcement Learning-Based Control and Networking Co-Design for Industrial Internet of Things.

Hansong Xu, Xing Liu, Wei Yu, David W. Griffith, Nada Golmie

IEEE J. Sel. Areas Commun., 2020

Toward Edge-Based Deep Learning in Industrial Internet of Things.

Fan Liang, Wei Yu, Xing Liu, David W. Griffith, Nada Golmie

IEEE Internet Things J., 2020

On Data Integrity Attacks against Industrial Internet of Things.

Hansong Xu, Wei Yu, Xing Liu, David W. Griffith, Nada Golmie

Proceedings of the IEEE Intl Conf on Dependable, 2020

2019

Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities.

Xing Liu, Cheng Qian, William G. Hatcher, Hansong Xu, Weixian Liao, Wei Yu

IEEE Access, 2019

Reinforcement Learning for Cyber-Physical Systems.

Xing Liu, Hansong Xu, Weixian Liao, Wei Yu

Proceedings of the IEEE International Conference on Industrial Internet, 2019