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2020 – today
- 2024
[j3]Peizheng Li, Jagdeep Singh
, Han Cui, Carlo Alberto Boano:
BmmW: A DNN-based joint BLE and mmWave radar system for accurate 3D localization with goal-oriented communication. Pervasive Mob. Comput. 102: 101944 (2024)- [j2]Xiaotao Shan, Yichao Jin, Marius Jurt, Peizheng Li:
A distributed multi-robot task allocation method for time-constrained dynamic collective transport. Robotics Auton. Syst. 178: 104722 (2024) - [c21]Xiaotao Shan, Yichao Jin, Peizheng Li, Koichi Kondo:
Modeling and Analysis of Multi-Line Orders in Multi-Tote Storage and Retrieval Autonomous Mobile Robot Systems. CASE 2024: 1088-1095 - [c20]Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, Patric Jensfelt:
SeFlow: A Self-supervised Scene Flow Method in Autonomous Driving. ECCV (1) 2024: 353-369 - [c19]Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore, Adnan Aijaz, Marios Kountouris, Deniz Gündüz, Petar Popovski, Mohamed Sana, Photios A. Stavrou, Beatriz Soret, Nicola Cordeschi, Simone Scardapane, Mattia Merluzzi, Lanfranco Zanzi, Mauro Renato Boldi, Tony Q. S. Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li:
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. EuCNC/6G Summit 2024: 1-6 - [c18]Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan:
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. PerCom Workshops 2024: 727-732 - [c17]Peizheng Li, Ioannis Mavromatis, Aftab Khan:
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. PerCom Workshops 2024: 787-792 - [c16]Haiyuan Li, Peizheng Li, Karcius Day Assis, Adnan Aijaz, Sen Shen, Reza Nejabati, Shuangyi Yan, Dimitra Simeonidou:
NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL. WCNC 2024: 1-6 - [c15]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:
Distributed Sensing, Computing, Communication, and Control Fabric: A Unified Architecture for New 6G Era. WCNC 2024: 1-6 - [i25]Haiyuan Li, Peizheng Li, Karcius Day Assis, Adnan Aijaz, Sen Shen, Reza Nejabati, Shuangyi Yan, Dimitra Simeonidou:
NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL. CoRR abs/2401.06722 (2024) - [i24]Peizheng Li, Ioannis Mavromatis, Aftab Khan:
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. CoRR abs/2401.13346 (2024) - [i23]Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan:
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. CoRR abs/2401.13366 (2024) - [i22]Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, Patric Jensfelt:
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving. CoRR abs/2407.01702 (2024) - [i21]Xiaotao Shan, Yichao Jin, Peizheng Li, Koichi Kondo:
Modeling and Analysis of Multi-Line Orders in Multi-Tote Storage and Retrieval Autonomous Mobile Robot Systems. CoRR abs/2407.06394 (2024) - [i20]Abdelrahim Kasem Ahmad, Peizheng Li, Robert J. Piechocki, Rui Inacio:
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 abs/2409.02849 (2024) - [i19]Peizheng Li, Adrián Sánchez-Mompó, Tim Farnham, Aftab Khan, Adnan Aijaz:
Large Generative AI Models meet Open Networks for 6G: Integration, Platform, and Monetization. CoRR abs/2410.18790 (2024) - [i18]Peizheng Li, Ioannis Mavromatis, Tim Farnham, Adnan Aijaz, Aftab Khan:
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions. CoRR abs/2410.18793 (2024) - [i17]Haiyuan Li, Hari Madhukumar, Peizheng Li, Yiran Teng, Shuangyi Yan, Dimitra Simeonidou:
From Hype to Reality: The Road Ahead of Deploying DRL in 6G Networks. CoRR abs/2410.23086 (2024) - [i16]Peizheng Li, Xinyi Lin, Adnan Aijaz:
Building the Self-Improvement Loop: Error Detection and Correction in Goal-Oriented Semantic Communications. CoRR abs/2411.01544 (2024) - 2023
- [c14]Adnan Aijaz, Sajida Gufran, Tim Farnham, Sita Chintalapati, Adrián Sánchez-Mompó, Peizheng Li:
Open RAN for 5G Supply Chain Diversification: The BEACON-5G Approach and Key Achievements. CSCN 2023: 1-7 - [c13]Peizheng Li, Adnan Aijaz:
Open RAN meets Semantic Communications: A Synergistic Match for Open, Intelligent, and Knowledge-Driven 6G. CSCN 2023: 87-93 - [c12]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:
Standardisation landscape for 6G robotic services. CSCN 2023: 148-154 - [c11]Peizheng Li, Jagdeep Singh, Han Cui, Carlo Alberto Boano:
BmmW: A DNN-Based Joint BLE and mmWave Radar System for Accurate 3D Localization. DCOSS-IoT 2023: 47-54 - [c10]Tim Farnham, Sajida Gufran, Peizheng Li, Adnan Aijaz:
Demo: Integration of Marketplace for the 5G Open RAN Ecosystem. ICNP 2023: 1-2 - [c9]Peizheng Li, Adnan Aijaz, Tim Farnham, Sajida Gufran, Sita Chintalapati:
Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality. ICNP 2023: 1-2 - [c8]Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall:
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. IJCAI 2023: 1080-1088 - [c7]Wei Wang, Peizheng Li, Angela Doufexi, Mark A. Beach:
A DRL-based Reflection Enhancement Method for RIS-assisted Multi-receiver Communications. VTC Fall 2023: 1-6 - [i15]Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall:
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. CoRR abs/2306.10761 (2023) - [i14]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:
Distributed Sensing, Computing, Communication, and Control Fabric: A Unified Service-Level Architecture for 6G. CoRR abs/2307.10286 (2023) - [i13]Peizheng Li, Adnan Aijaz, Tim Farnham, Sajida Gufran, Sita Chintalapati:
Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality. CoRR abs/2308.15973 (2023) - [i12]Tim Farnham, Sajida Gufran, Peizheng Li, Adnan Aijaz:
Demo: Integration of Marketplace for the 5G Open RAN Ecosystem. CoRR abs/2308.15977 (2023) - [i11]Wei Wang, Peizheng Li, Angela Doufexi, Mark A. Beach:
A DRL-based Reflection Enhancement Method for RIS-assisted Multi-receiver Communications. CoRR abs/2309.05343 (2023) - [i10]Adnan Aijaz, Sajida Gufran, Tim Farnham, Sita Chintalapati, Adrián Sánchez-Mompó, Peizheng Li:
Open RAN for 5G Supply Chain Diversification: The BEACON-5G Approach and Key Achievements. CoRR abs/2310.03580 (2023) - [i9]Peizheng Li, Adnan Aijaz:
Open RAN meets Semantic Communications: A Synergistic Match for Open, Intelligent, and Knowledge-Driven 6G. CoRR abs/2310.09951 (2023) - 2022
- [j1]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:
RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN. IEEE Access 10: 113808-113826 (2022) - [c6]Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh:
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model. PIMRC 2022: 554-559 - [c5]Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert J. Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Kasem Ahmad, Keith Briggs, Shipra Kapoor:
Federated Meta-Learning for Traffic Steering in O-RAN. VTC Fall 2022: 1-7 - [c4]Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert J. Piechocki, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh:
Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning. VTC Fall 2022: 1-7 - [c3]Xingchi Liu, Peizheng Li, Ziming Zhu:
Bayesian optimisation-Assisted Neural Network Training Technique for Radio Localisation. VTC Spring 2022: 1-5 - [i8]Xingchi Liu, Peizheng Li, Ziming Zhu:
Bayesian Optimisation-Assisted Neural Network Training Technique for Radio Localisation. CoRR abs/2203.04032 (2022) - [i7]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:
Sim2real for Reinforcement Learning Driven Next Generation Networks. CoRR abs/2206.03846 (2022) - [i6]Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh:
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model. CoRR abs/2207.00166 (2022) - [i5]Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert J. Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Kasem Ahmad, Keith Briggs, Shipra Kapoor:
Federated Meta-Learning for Traffic Steering in O-RAN. CoRR abs/2209.05874 (2022) - [i4]Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert J. Piechocki, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh:
Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning. CoRR abs/2209.13536 (2022) - 2021
- [i3]Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham:
Deep Transfer Learning for WiFi Localization. CoRR abs/2103.05123 (2021) - [i2]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:
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN. CoRR abs/2111.06978 (2021) - 2020
- [c2]Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham:
Wireless Localisation in WiFi using Novel Deep Architectures. ICPR 2020: 6251-6258 - [c1]Peizheng Li, Caofei Luo, Fumin Wu, Jianan Zheng, Sainan Ma:
Deep Learning Based Low-light Enhancement and Noise Suppression in USV Imaging System. ICRAI 2020: 91-96 - [i1]Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham:
Wireless Localisation in WiFi using Novel Deep Architectures. CoRR abs/2010.08658 (2020)
Coauthor Index
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