Peizheng Li

Orcid: 0000-0003-2140-4357

According to our database1, Peizheng Li authored at least 32 papers between 2020 and 2024.

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Bibliography

2024
A distributed multi-robot task allocation method for time-constrained dynamic collective transport.
Robotics Auton. Syst., 2024

BmmW: A DNN-based joint BLE and mmWave radar system for accurate 3D localization with goal-oriented communication.
Pervasive Mob. Comput., 2024

Building the Self-Improvement Loop: Error Detection and Correction in Goal-Oriented Semantic Communications.
CoRR, 2024

From Hype to Reality: The Road Ahead of Deploying DRL in 6G Networks.
CoRR, 2024

Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions.
CoRR, 2024

Large Generative AI Models meet Open Networks for 6G: Integration, Platform, and Monetization.
CoRR, 2024

Anomaly Detection in Offshore Open Radio Access Network Using Long Short-Term Memory Models on a Novel Artificial Intelligence-Driven Cloud-Native Data Platform.
CoRR, 2024

Distributed Sensing, Computing, Communication, and Control Fabric: A Unified Architecture for New 6G Era.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

SeFlow: A Self-supervised Scene Flow Method in Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2024, 2024

Modeling and Analysis of Multi-Line Orders in Multi-Tote Storage and Retrieval Autonomous Mobile Robot Systems.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Distributed Sensing, Computing, Communication, and Control Fabric: A Unified Service-Level Architecture for 6G.
CoRR, 2023

A DRL-based Reflection Enhancement Method for RIS-assisted Multi-receiver Communications.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View.
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.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Demo: Integration of Marketplace for the 5G Open RAN Ecosystem.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

BmmW: A DNN-Based Joint BLE and mmWave Radar System for Accurate 3D Localization.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

Open RAN meets Semantic Communications: A Synergistic Match for Open, Intelligent, and Knowledge-Driven 6G.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

Standardisation landscape for 6G robotic services.
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.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

2022
Sim2real for Reinforcement Learning Driven Next Generation Networks.
CoRR, 2022

RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN.
IEEE Access, 2022

Bayesian optimisation-Assisted Neural Network Training Technique for Radio Localisation.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning.
Proceedings of the 96th Vehicular Technology Conference, 2022

Federated Meta-Learning for Traffic Steering in O-RAN.
Proceedings of the 96th Vehicular Technology Conference, 2022

Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2021
Deep Transfer Learning for WiFi Localization.
CoRR, 2021

2020
Deep Learning Based Low-light Enhancement and Noise Suppression in USV Imaging System.
Proceedings of the ICRAI 2020: 6th International Conference on Robotics and Artificial Intelligence, 2020

Wireless Localisation in WiFi using Novel Deep Architectures.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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