{"total":17,"rows":[{"id":"2207.08057","title":"Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning","created":"2022-07-17","cited_by_count":8,"area":null},{"id":"2111.04971","title":"Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning","created":"2021-11-09","cited_by_count":4,"area":null},{"id":"2111.06555","title":"A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints","created":"2021-11-12","cited_by_count":3,"area":null},{"id":"2312.09002","title":"Localization with Reconfigurable Intelligent Surface: An Active Sensing Approach","created":"2023-12-14","cited_by_count":3,"area":null},{"id":"2310.06858","title":"Design of JiuTian Intelligent Network Simulation Platform","created":"2023-09-28","cited_by_count":2,"area":null},{"id":"2205.08788","title":"Deep Reinforcement Learning Based on Location-Aware Imitation Environment for RIS-Aided mmWave MIMO Systems","created":"2022-05-18","cited_by_count":1,"area":null},{"id":"2506.03586","title":"Beamforming and Resource Allocation for Delay Minimization in RIS-Assisted OFDM Systems","created":"2025-06-04","cited_by_count":1,"area":null},{"id":"2509.25661","title":"Deep Reinforcement Learning-Based Precoding for Multi-RIS-Aided Multiuser Downlink Systems with Practical Phase Shift","created":"2025-09-30","cited_by_count":1,"area":null},{"id":"2201.02834","title":"Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network","created":"2022-01-08","cited_by_count":0,"area":null},{"id":"2211.08327","title":"Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation","created":"2022-11-15","cited_by_count":0,"area":null},{"id":"2212.12329","title":"Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning","created":"2022-11-25","cited_by_count":0,"area":null},{"id":"2409.11270","title":"Geometry Aware Meta-Learning Neural Network for Joint Phase and Precoder Optimization in RIS","created":"2024-09-17","cited_by_count":0,"area":null},{"id":"2503.19046","title":"Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent Surface","created":"2025-03-24","cited_by_count":0,"area":null},{"id":"2512.17928","title":"Efficient Beamforming Optimization for STAR-RIS-Assisted Communications: A Gradient-Based Meta Learning Approach","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2602.13238","title":"Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2609.29150","title":"A Particle-Swarm-Assisted Gradient Meta-Learning Algorithm for Joint Transmit Precoding and STAR-RIS Coefficient Optimization","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2609.39058","title":"A 3GPP-Compliant Benchmark Dataset for RIS-Aided Beyond 5G Networks","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}