Fronthaul Functional Split of IRC-Based Beamforming for Massive MIMO Systems. - Yezi Huang; Wanlu Lei; Chenguang Lu; Miguel Berg (VTC Fall, 2019)

Deep Reinforcement Learning-Based Spectrum Allocation in Integrated Access and Backhaul Networks. - Wanlu Lei; Yu Ye 001; Ming Xiao 001 (IEEE Trans. Cogn. Commun. Netw., 2020)

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT. - Wanlu Lei; Yu Ye 001; Ming Xiao 001; Mikael Skoglund; Zhu Han 001 (CoRR, 2021)

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoT. - Wanlu Lei; Yu Ye 001; Ming Xiao 001; Mikael Skoglund; Zhu Han 001 (IEEE Internet Things J., 2022)

Joint Beam Training and Data Transmission Control for mmWave Delay-Sensitive Communications: A Parallel Reinforcement Learning Approach. - Wanlu Lei; Deyou Zhang; Yu Ye 001; Chenguang Lu (IEEE J. Sel. Top. Signal Process., 2022)

Adaptive Beam Sweeping With Supervised Learning. - Wanlu Lei; Chenguang Lu; Yezi Huang; Jing Rao; Ming Xiao 001; Mikael Skoglund (IEEE Wirel. Commun. Lett., 2022)

A study of wireless communications with reinforcement learning. - Wanlu Lei (2022)

BioImage.IO Chatbot: A Personalized Assistant for BioImage Analysis Augmented by Community Knowledge Base. - Wanlu Lei; Caterina Fuster-Barceló; Arrate Muñoz-Barrutia; Wei Ouyang (CoRR, 2023)