Wireless Localisation in WiFi using Novel Deep Architectures. - Peizheng Li; Han Cui; Aftab Khan 001; Usman Raza; Robert J. Piechocki; Angela Doufexi; Tim Farnham (ICPR, 2020)

Deep Learning Based Low-light Enhancement and Noise Suppression in USV Imaging System. - Peizheng Li; Caofei Luo; Fumin Wu; Jianan Zheng; Sainan Ma (ICRAI, 2020)

Deep Transfer Learning for WiFi Localization. - Peizheng Li; Han Cui; Aftab Khan 001; Usman Raza; Robert J. Piechocki; Angela Doufexi; Tim Farnham (CoRR, 2021)

Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model. - Peizheng Li; Xiaoyang Wang 005; Robert J. Piechocki; Shipra Kapoor; Angela Doufexi; Arjun Parekh (PIMRC, 2022)

Federated Meta-Learning for Traffic Steering in O-RAN. - Hakan Erdol; Xiaoyang Wang 005; Peizheng Li; Jonathan D. Thomas; Robert J. Piechocki; George Oikonomou; Rui Inacio; Abdelrahim Kasem Ahmad; Keith Briggs; Shipra Kapoor (VTC Fall, 2022)

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning. - Peizheng Li; Hakan Erdol; Keith Briggs; Xiaoyang Wang 005; Robert J. Piechocki; Abdelrahim Kasem Ahmad; Rui Inacio; Shipra Kapoor; Angela Doufexi; Arjun Parekh (VTC Fall, 2022)

Bayesian optimisation-Assisted Neural Network Training Technique for Radio Localisation. - Xingchi Liu; Peizheng Li; Ziming Zhu (VTC Spring, 2022)

RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN. - Peizheng Li; Jonathan D. Thomas; Xiaoyang Wang 005; Ahmed Khalil; Abdelrahim Kasem Ahmad; Rui Inacio; Shipra Kapoor; Arjun Parekh; Angela Doufexi; Arman Shojaeifard; Robert J. Piechocki (IEEE Access, 2022)

Sim2real for Reinforcement Learning Driven Next Generation Networks. - Peizheng Li; Jonathan D. Thomas; Xiaoyang Wang 005; Hakan Erdol; Abdelrahim Kasem Ahmad; Rui Inacio; Shipra Kapoor; Arjun Parekh; Angela Doufexi; Arman Shojaeifard; Robert J. Piechocki (CoRR, 2022)

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 (CSCN, 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; et al. (CSCN, 2023)

Open RAN meets Semantic Communications: A Synergistic Match for Open, Intelligent, and Knowledge-Driven 6G. - Peizheng Li; Adnan Aijaz (CSCN, 2023)

BmmW: A DNN-Based Joint BLE and mmWave Radar System for Accurate 3D Localization. - Peizheng Li; Jagdeep Singh; Han Cui; Carlo Alberto Boano (DCOSS-IoT, 2023)

Demo: Integration of Marketplace for the 5G Open RAN Ecosystem. - Tim Farnham; Sajida Gufran; Peizheng Li; Adnan Aijaz (ICNP, 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 (ICNP, 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 (IJCAI, 2023)

A DRL-based Reflection Enhancement Method for RIS-assisted Multi-receiver Communications. - Wei Wang; Peizheng Li; Angela Doufexi; Mark A. Beach (VTC Fall, 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 001; Xueli An; Ranga Rao Venkatesha Prasad; Helge Lüders; Shahid Mumtaz (CoRR, 2023)

Modeling and Analysis of Multi-Line Orders in Multi-Tote Storage and Retrieval Autonomous Mobile Robot Systems. - Xiaotao Shan; Yichao Jin; Peizheng Li; Koichi Kondo (CASE, 2024)

Building the Self-Improvement Loop: Error Detection and Correction in Goal-Oriented Semantic Communications. - Peizheng Li; Xinyi Lin; Adnan Aijaz (CSCN, 2024)

SeFlow: A Self-supervised Scene Flow Method in Autonomous Driving. - Qingwen Zhang; Yi Yang 095; Peizheng Li; Olov Andersson; Patric Jensfelt (ECCV (1), 2024)

Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. - 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; et al. (EuCNC/6G Summit, 2024)

Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. - Jikun Gao; Ioannis Mavromatis; Peizheng Li; Pietro Edoardo Carnelli; Aftab Khan 001 (PerCom Workshops, 2024)

Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. - Peizheng Li; Ioannis Mavromatis; Aftab Khan 001 (PerCom Workshops, 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 (WCNC, 2024)

Distributed Sensing, Computing, Communication, and Control Fabric: A Unified Architecture for New 6G Era. - Dejan Vukobratovic; Nikolaos G. Bartzoudis; Mona Ghassemian; Firooz B. Saghezchi; Peizheng Li; Adnan Aijaz; Ricardo Martinez 001; Xueli An; Ranga Rao Venkatesha Prasad; Helge Lüders; Shahid Mumtaz (WCNC, 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. - Abdelrahim Kasem Ahmad; Peizheng Li; Robert J. Piechocki; Rui Inacio (CoRR, 2024)

Large Generative AI Models meet Open Networks for 6G: Integration, Platform, and Monetization. - Peizheng Li; Adrián Sánchez-Mompó; Tim Farnham; Aftab Khan 001; Adnan Aijaz (CoRR, 2024)

Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions. - Peizheng Li; Ioannis Mavromatis; Tim Farnham; Adnan Aijaz; Aftab Khan 001 (CoRR, 2024)

From Hype to Reality: The Road Ahead of Deploying DRL in 6G Networks. - Haiyuan Li; Hari Madhukumar; Peizheng Li; Yiran Teng; Shuangyi Yan; Dimitra Simeonidou (CoRR, 2024)

BmmW: A DNN-based joint BLE and mmWave radar system for accurate 3D localization with goal-oriented communication. - Peizheng Li; Jagdeep Singh; Han Cui; Carlo Alberto Boano (Pervasive Mob. Comput., 2024)

A distributed multi-robot task allocation method for time-constrained dynamic collective transport. - Xiaotao Shan; Yichao Jin; Marius Jurt; Peizheng Li (Robotics Auton. Syst., 2024)

NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective. - Peizheng Li; Chaoyi Chen; Hao Yuan; Zhenbo Fu; Hang Shen 008; Xinbo Yang; Qiange Wang; Xin Ai 006; Yanfeng Zhang; Yingyou Wen; Ge Yu 001 (SIGMOD Conference Companion, 2025)

Task-Oriented Connectivity for Networked Robotics with Generative AI and Semantic Communications. - Peizheng Li; Adnan Aijaz (CoRR, 2025)

FAM-HRI: Foundation-Model Assisted Multi-Modal Human-Robot Interaction Combining Gaze and Speech. - Yuzhi Lai; Shenghai Yuan; Boya Zhang; Benjamin Kiefer; Peizheng Li; Andreas Zell (CoRR, 2025)

Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations. - Adrián Sánchez-Mompó; Ioannis Mavromatis; Peizheng Li; Konstantinos Katsaros; Aftab Khan 001 (CoRR, 2025)

TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking. - Shuxiao Ding; Yutong Yang; Julian Wiederer; Markus Braun 003; Peizheng Li; Juergen Gall; Bin Yang 009 (CoRR, 2025)

AGO: Adaptive Grounding for Open World 3D Occupancy Prediction. - Peizheng Li; Shuxiao Ding; You Zhou; Qingwen Zhang; Onat Inak; Larissa Triess; Niklas Hanselmann; Marius Cordts; Andreas Zell (CoRR, 2025)

RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems. - Xinyi Lin; Peizheng Li; Adnan Aijaz (CoRR, 2025)

A Heuristic-Integrated DRL Approach for Phase Optimization in Large-Scale RISs. - Wei Wang; Peizheng Li; Angela Doufexi; Mark A. Beach (IEEE Commun. Lett., 2025)

NetMind+: Adaptive Baseband Function Placement With GCN Encoding and Incremental Maze-Solving DRL for Dynamic and Heterogeneous RANs. - Haiyuan Li; Peizheng Li; Karcius Day Rosario Assis; Juan Marcelo Parra Ullauri; Adnan Aijaz; Shuangyi Yan; Dimitra Simeonidou (IEEE Trans. Netw. Serv. Manag., 2025)