Peizheng Li

According to our database, Peizheng Li authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.

Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan

CoRR, 2024

Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed.

Peizheng Li, Ioannis Mavromatis, Aftab Khan

CoRR, 2024

NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL.

Haiyuan Li, Peizheng Li, Karcius Day Assis, Adnan Aijaz, Sen Shen, Reza Nejabati, Shuangyi Yan, Dimitra Simeonidou

CoRR, 2024

2023

Distributed Sensing, Computing, Communication, and Control Fabric: A Unified Service-Level Architecture for 6G.

Dejan Vukobratovic, Nikolaos G. Bartzoudis, Mona Ghassemian, Firooz B. Saghezchi, Peizheng Li, Adnan Aijaz, Ricardo Martinez, Xueli An, Ranga Rao Venkatesha Prasad, Helge Lüders, Shahid Mumtaz

CoRR, 2023

A DRL-based Reflection Enhancement Method for RIS-assisted Multi-receiver Communications.

Wei Wang, Peizheng Li, Angela Doufexi, Mark A. Beach

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View.

Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality.

Peizheng Li, Adnan Aijaz, Tim Farnham, Sajida Gufran, Sita Chintalapati

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Demo: Integration of Marketplace for the 5G Open RAN Ecosystem.

Tim Farnham, Sajida Gufran, Peizheng Li, Adnan Aijaz

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Open RAN meets Semantic Communications: A Synergistic Match for Open, Intelligent, and Knowledge-Driven 6G.

Peizheng Li, Adnan Aijaz

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

Standardisation landscape for 6G robotic services.

Mona Ghassemian, Dejan Vukobratovic, Christos Papadopoulos, Xueli An, Periklis Chatzimisios, Adnan Aijaz, Peizheng Li, Andres Meseguer Valenzuela, Mohammad Shikh-Bahaei, Albena Mihovska, Nikolaos G. Bartzoudis, Rich Walker, R. Venkatesha Prasad, Firooz B. Saghezchi

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

Open RAN for 5G Supply Chain Diversification: The BEACON-5G Approach and Key Achievements.

Adnan Aijaz, Sajida Gufran, Tim Farnham, Sita Chintalapati, Adrián Sánchez-Mompó, Peizheng Li

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

2022

Sim2real for Reinforcement Learning Driven Next Generation Networks.

Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki

CoRR, 2022

RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN.

Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki

IEEE Access, 2022

Bayesian optimisation-Assisted Neural Network Training Technique for Radio Localisation.

Xingchi Liu, Peizheng Li, Ziming Zhu

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning.

Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert J. Piechocki, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh

Proceedings of the 96th Vehicular Technology Conference, 2022

Federated Meta-Learning for Traffic Steering in O-RAN.

Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert J. Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Kasem Ahmad, Keith Briggs, Shipra Kapoor

Proceedings of the 96th Vehicular Technology Conference, 2022

Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model.

Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2021

Deep Transfer Learning for WiFi Localization.

Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham

CoRR, 2021

2020

Deep Learning Based Low-light Enhancement and Noise Suppression in USV Imaging System.

Peizheng Li, Caofei Luo, Fumin Wu, Jianan Zheng, Sainan Ma

Proceedings of the ICRAI 2020: 6th International Conference on Robotics and Artificial Intelligence, 2020

Wireless Localisation in WiFi using Novel Deep Architectures.

Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham

Proceedings of the 25th International Conference on Pattern Recognition, 2020