Name
Papers
Collaborators
CHANGCHUAN YIN
113
160
Citations 
PageRank 
Referers 
548
56.53
1465
Referees 
References 
1480
768
Search Limit
1001000
Title
Citations
PageRank
Year
Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning00.342022
Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems10.352022
Convergence Time Minimization for Federated Reinforcement Learning over Wireless Networks00.342022
Minimization of Age of Information for Monitoring Realistic Physical Processes in Unmanned Aerial Vehicle Networks00.342021
Radio Environment Map Enhanced Intelligent Reflecting Surface Systems Beyond 5G.00.342021
Near-Field Beam Management in LIS-Assisted mmWave Systems00.342021
Low-Rank And Joint-Sparse Signal Recovery Using Sparse Bayesian Learning In A Wban00.342021
Reliability and Latency of MmWave Communications Based on Blockage Avoidance in Internet of Vehicles.00.342021
Optimising Resource Allocation For Virtual Network Functions In Sdn/Nfv-Enabled Mec Networks00.342021
Federated Learning based Audio Semantic Communication over Wireless Networks00.342021
Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks30.382021
Allocating Three-dimensional Resources for URLLC Services with Different Latency Requirements00.342021
UAV Trajectory and Communication Co-Design: Flexible Path Discretization and Path Compression00.342021
Wireless Power Transfer Via Intelligent Reflecting Surface-Assisted Millimeter Wave Power Beacons00.342021
A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks741.802021
Multi-Factors Aware Dual-Attentional Knowledge Tracing10.372021
A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks50.402021
Mobility-Aware Seamless Handover With MPTCP in Software-Defined HetNets10.352021
Combining Wikipedia to Identify Prerequisite Relations of Concepts in MOOCs.00.342021
VNF Placement and Resource Allocation in SDN/NFV-Enabled MEC Networks00.342020
Fast Recovery of Low-Rank and Joint-Sparse Signals in Wireless Body Area Networks00.342020
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks100.622020
Deep Deterministic Policy Gradient Based Computation Offloading in Wireless-Powered MEC Networks00.342020
Energy Aware Opportunistic Routing For Energy Harvesting Wireless Sensor Networks00.342020
Joint Task and Resource Allocation in SDN-based UAV-assisted Cellular Networks00.342020
Trajectory Design For Energy Harvesting Uav Networks: A Foraging Approach00.342020
Reinforcement Learning For Minimizing Age Of Information Under Realistic Physical Dynamics00.342020
Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks10.352020
Joint Beamforming And Artificial Noise Design In Intelligent Reflecting Surface Aided Secure Wireless Communications00.342020
A New Method Based On Coding Sequence Density To Cluster Bacteria00.342020
Performance Optimization of Federated Learning over Wireless Networks.10.352019
Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach.20.382019
Joint 3d Uav Placement And Resource Allocation In Software-Defined Cellular Networks With Wireless Backhaul00.342019
Slice-Aware Resource Management In Sdn Enabled Heterogeneous Cellular Networks00.342019
Federated Deep Learning for Immersive Virtual Reality over Wireless Networks.00.342019
Encoding and Decoding DNA Sequences by Integer Chaos Game Representation.00.342019
3D UAV placement and user association in software-defined cellular networks10.352019
A Novel Tensor CS-Based NOMA MIMO System for the Downlink of Massive Mission-Critical MTC in 5G and Beyond.00.342019
Deep Learning for 360° Content Transmission in UAV-Enabled Virtual Reality.00.342019
Liquid State Based Transfer Learning for 360° Image Transmission in Wireless VR Networks00.342019
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial441.352019
Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach10.352019
Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks.110.512018
Analysis of Memory Capacity for Deep Echo State Networks00.342018
Virtual Reality over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management.160.832018
Distributed Resource Allocation in SDCN-Based Heterogeneous Networks Utilizing Licensed and Unlicensed Bands.20.372018
Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks with Cellular-Connected UAVs.80.462018
Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-enabled LTE-U Networks.20.412018
3D UAV Placement and Resource Allocation in Software Defined Cellular Networks00.342018
Optimized Trajectory Design in UAV Based Cellular Networks: A Double Q-Learning Approach00.342018
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