{"total":34,"rows":[{"id":"2112.02089","title":"Regularized Newton Method with Global $O(1/k^2)$ Convergence","created":"2021-12-03","cited_by_count":22,"area":null},{"id":"2106.02533","title":"Graph-based Deep Learning for Communication Networks: A Survey","created":"2021-06-04","cited_by_count":21,"area":null},{"id":"2301.03377","title":"Machine Learning for Large-Scale Optimization in 6G Wireless Networks","created":"2023-01-03","cited_by_count":18,"area":null},{"id":"2301.00519","title":"Holistic Network Virtualization and Pervasive Network Intelligence for 6G","created":"2023-01-02","cited_by_count":14,"area":null},{"id":"2104.11052","title":"Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems","created":"2021-04-22","cited_by_count":12,"area":null},{"id":"2205.03793","title":"Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces","created":"2022-05-08","cited_by_count":12,"area":null},{"id":"2209.02428","title":"Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning","created":"2022-09-02","cited_by_count":11,"area":null},{"id":"2502.02287","title":"Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments","created":"2025-02-04","cited_by_count":9,"area":null},{"id":"2207.05364","title":"A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization","created":"2022-07-12","cited_by_count":7,"area":null},{"id":"2512.03768","title":"Deep Unfolding: Recent Developments, Theory, and Design Guidelines","created":"2025-12-03","cited_by_count":7,"area":null},{"id":"2103.10134","title":"Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey","created":"2021-03-18","cited_by_count":5,"area":null},{"id":"2201.11799","title":"Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks","created":"2022-01-27","cited_by_count":5,"area":null},{"id":"2107.12631","title":"Learning to Estimate RIS-Aided mmWave Channels","created":"2021-07-27","cited_by_count":4,"area":null},{"id":"2110.00272","title":"Learn to Communicate with Neural Calibration: Scalability and Generalization","created":"2021-10-01","cited_by_count":4,"area":null},{"id":"2209.12423","title":"The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven Approaches","created":"2022-09-26","cited_by_count":4,"area":null},{"id":"2309.01730","title":"Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning","created":"2023-09-04","cited_by_count":4,"area":null},{"id":"2509.06968","title":"Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities","created":"2025-08-23","cited_by_count":3,"area":null},{"id":"2301.05017","title":"Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder","created":"2023-01-11","cited_by_count":2,"area":null},{"id":"2312.08016","title":"Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks","created":"2023-12-13","cited_by_count":2,"area":null},{"id":"2102.09196","title":"DeepMuD: Multi-user Detection for Uplink Grant-Free NOMA IoT Networks via Deep Learning","created":"2021-02-18","cited_by_count":1,"area":null},{"id":"2303.01723","title":"AI-Empowered Hybrid MIMO Beamforming","created":"2023-03-03","cited_by_count":1,"area":null},{"id":"2303.17885","title":"Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis","created":"2023-03-31","cited_by_count":1,"area":null},{"id":"2410.07208","title":"An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications","created":"2024-09-25","cited_by_count":1,"area":null},{"id":"2103.04764","title":"Neural Network-based Quantization for Network Automation","created":"2021-03-04","cited_by_count":0,"area":null},{"id":"2106.11595","title":"Reinforcement Learning for Physical Layer Communications","created":"2021-06-22","cited_by_count":0,"area":null},{"id":"2106.13436","title":"A hybrid model-based and learning-based approach for classification using limited number of training samples","created":"2021-06-25","cited_by_count":0,"area":null},{"id":"2202.02876","title":"Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation","created":"2022-02-06","cited_by_count":0,"area":null},{"id":"2207.00751","title":"Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity","created":"2022-07-02","cited_by_count":0,"area":null},{"id":"2408.00439","title":"Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming","created":"2024-08-01","cited_by_count":0,"area":null},{"id":"2502.10027","title":"Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks","created":"2025-02-14","cited_by_count":0,"area":null},{"id":"2507.15367","title":"Multi-beam Beamforming in RIS-aided MIMO Subject to Reradiation Mask Constraints -- Optimization and Machine Learning Design","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2607.08454","title":"Spatio-Temporal Scheduling Prediction Under Backhaul Delay for Resilient Coordinated Beamforming","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2609.05396","title":"A Deep Generative Model for Synthesizing Labeled Wireless Signals","created":"2026-09-04","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}],"next_cursor":null}