Rongpeng Li
Orcid: 0000-0003-4297-5060
According to our database1,
Rongpeng Li
authored at least 150 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception.
IEEE Trans. Veh. Technol., September, 2024
IEEE Trans. Mob. Comput., August, 2024
IEEE Internet Things J., July, 2024
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning With Efficient Communication.
IEEE Trans. Wirel. Commun., January, 2024
Stochastic Graph Neural Network-Based Value Decomposition for MARL in Internet of Vehicles.
IEEE Trans. Veh. Technol., 2024
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach.
CoRR, 2024
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G.
CoRR, 2024
Topology Data Analysis-based Error Detection for Semantic Image Transmission with Incremental Knowledge-based HARQ.
CoRR, 2024
IEEE Commun. Surv. Tutorials, 2024
Multiple Gradient Descent-based Reinforcement Learning for Multi-Task Semantic Broadcast Communication.
Proceedings of the Twenty-fifth International Symposium on Theory, 2024
2023
Time-Series InSAR with Deep-Learning-Based Topography-Dependent Atmospheric Delay Correction for Potential Landslide Detection.
Remote. Sens., November, 2023
Secure and Efficient Stigmergy-Empowered Blockchain Framework for Heterogeneous Collaborative Services in the Internet of Vehicles.
IEEE Commun. Mag., September, 2023
AoI-Based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching.
IEEE Trans. Cogn. Commun. Netw., April, 2023
IEEE Wirel. Commun., February, 2023
InSAR Spatial-Heterogeneity Tropospheric Delay Correction in Steep Mountainous Areas Based on Deep Learning for Landslides Monitoring.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles.
CoRR, 2023
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles.
CoRR, 2023
Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning.
CoRR, 2023
Imitation Learning based Alternative Multi-Agent Proximal Policy Optimization for Well-Formed Swarm-Oriented Pursuit Avoidance.
CoRR, 2023
Rethinking Collaborative Perception from the Spatial-Temporal Importance of Semantic Information.
CoRR, 2023
NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services.
CoRR, 2023
EEG Signal-Assisted Algebraic Topological Feature-Enhanced Deep Neural Networks for Gestalt Illusory Contour Perception.
IEEE Access, 2023
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023
Decomposition-based Multi-Agent Distributional Reinforcement Learning for Task-Oriented UAV Collaboration with Noisy Rewards.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023
Stochastic Graph Neural Network-Based Value Decomposition for Multi-Agent Reinforcement Learning in Urban Traffic Control.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Matrix Factorization and Deep Autoencoder based Clustering Scheme for Large-scale UAV Networks.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles.
Proceedings of the IEEE Global Communications Conference, 2023
2022
IEEE Wirel. Commun. Lett., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
RAN Information-Assisted TCP Congestion Control Using Deep Reinforcement Learning With Reward Redistribution.
IEEE Trans. Commun., 2022
Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ.
IEEE Open J. Commun. Soc., 2022
Trustable Policy Collaboration Scheme for Multi-Agent Stigmergic Reinforcement Learning.
IEEE Commun. Lett., 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022
Demo: Deep Reinforcement Learning for Resource Management in Cellular Network Slicing.
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Graph Attention Network-Based Multi-Agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network.
IEEE Trans. Veh. Technol., 2021
IEEE Trans. Mob. Comput., 2021
IEEE Commun. Lett., 2021
Statistical QoS guarantees of a device-to-device link assisted by a full-duplex relay.
Trans. Emerg. Telecommun. Technol., 2021
An efficient pruning scheme of deep neural networks for Internet of Things applications.
EURASIP J. Adv. Signal Process., 2021
CoRR, 2021
Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty.
CoRR, 2021
Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms.
CoRR, 2021
Graph Attention Network-based DRL for Network Slicing Management in Dense Cellular Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021
2020
IEEE Wirel. Commun., 2020
Effect of Spatial and Temporal Traffic Statistics on the Performance of Wireless Networks.
IEEE Trans. Commun., 2020
Study on Base Station Topology in National Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics.
IEEE Syst. J., 2020
Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments.
Frontiers Inf. Technol. Electron. Eng., 2020
GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing.
IEEE J. Sel. Areas Commun., 2020
The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility.
IEEE Commun. Lett., 2020
Intelligent Slicing of Radio Resource Control Layer for Cellular IoT: Design and Implementation.
CoRR, 2020
IEEE Access, 2020
Proceedings of the 23rd International Symposium on Wireless Personal Multimedia Communications, 2020
Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020
The Implementation of Asynchronous Advantage Actor-Critic with Stigmergy in Network-assisted Multi-agent System.
Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the IEEE Global Communications Conference, 2020
2019
Fundamentals on Base Stations in Urban Cellular Networks: From the Perspective of Algebraic Topology.
IEEE Wirel. Commun. Lett., 2019
The Stochastic Geometry Analyses of Cellular Networks With $\alpha$ -Stable Self-Similarity.
IEEE Trans. Commun., 2019
IEEE Internet Things J., 2019
Multicast scheduling for delay-energy trade-off under bursty request arrivals in cellular networks.
IET Commun., 2019
Deep Reinforcement Learning With Discrete Normalized Advantage Functions for Resource Management in Network Slicing.
IEEE Commun. Lett., 2019
CoRR, 2019
IEEE Commun. Mag., 2019
Demo: The Design and Implementation of Intelligent Software Defined Security Framework.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019
Statistics-Enhanced Destination Prediction Model for Multi-Users Based on Deep Learning.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019
GAN-Based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
IET Commun., 2018
Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic Topology.
CoRR, 2018
Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics.
CoRR, 2018
Effect of Spatial and Temporal Traffic Statistics on the Performance of Wireless Networks.
CoRR, 2018
IEEE Access, 2018
IEEE Access, 2018
Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Proceedings of the 25th International Conference on Telecommunications, 2018
2017
IEEE Wirel. Commun., 2017
Results on Energy- and Spectral-Efficiency Tradeoff in Cellular Networks With Full-Duplex Enabled Base Stations.
IEEE Trans. Wirel. Commun., 2017
IEEE Trans. Wirel. Commun., 2017
IEEE Trans. Commun., 2017
Temporal-spatial distribution nature of traffic and base stations in cellular networks.
IET Commun., 2017
IEEE Commun. Lett., 2017
CoRR, 2017
On the Capacity of Wireless Networks with Fractal and Hierarchical Social Communications.
CoRR, 2017
CoRR, 2017
CoRR, 2017
IEEE Access, 2017
Predictability Analysis of Spectrum State Evolution: Performance Bounds and Real-World Data Analytics.
IEEE Access, 2017
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017
Joint computation offloading and data caching with delay optimization in mobile-edge computing systems.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Global Energy Management for Propulsion, Thermal Management System of A Series-parallel Hybrid Electric Vehicle .
Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017
A revisiting to queueing theory for mobile instant messaging with keep-alive mechanism in cellular networks.
Proceedings of the IEEE International Conference on Communications, 2017
2016
Not Call Me Cellular Any More: The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless Networks.
CoRR, 2016
CoRR, 2016
Network slicing as a service: enabling enterprises' own software-defined cellular networks.
IEEE Commun. Mag., 2016
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016
2015
Optimal Base Station Sleeping in Green Cellular Networks: A Distributed Cooperative Framework Based on Game Theory.
IEEE Trans. Wirel. Commun., 2015
IEEE Commun. Lett., 2015
On the limits of predictability in real-world radio spectrum state dynamics: from entropy theory to 5G spectrum sharing.
IEEE Commun. Mag., 2015
Large-Scale Spatial Distribution Identification of Base Stations in Cellular Networks.
IEEE Access, 2015
Understanding the Traffic Nature of Mobile Instantaneous Messaging in Cellular Networks: A Revisiting to α-Stable Models.
IEEE Access, 2015
Energy Efficiency Analysis of Heterogeneous Cellular Networks with Downlink and Uplink Decoupling.
Proceedings of the 2015 IEEE Global Communications Conference, 2015
2014
TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks.
IEEE Trans. Wirel. Commun., 2014
Adaptive multi-task compressive sensing for localisation in wireless local area networks.
IET Commun., 2014
IEEE Commun. Lett., 2014
Energy savings scheme in radio access networks via compressive sensing-based traffic load prediction.
Trans. Emerg. Telecommun. Technol., 2014
Large-scale Spatial Distribution Identification of Base Stations in Cellular Networks.
CoRR, 2014
The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice.
IEEE Commun. Mag., 2014
A game-theoretic approach for optimal base station sleeping in green cellular networks.
Proceedings of the Sixth International Conference on Wireless Communications and Signal Processing, 2014
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014
Proceedings of the 2014 IEEE/CIC International Conference on Communications in China, 2014
An approximate algorithm of controller configuration in multi-domain SDN architecture.
Proceedings of the 9th International Conference on Communications and Networking in China, 2014
2013
EURASIP J. Wirel. Commun. Netw., 2013
Compressive sensing based overhead reduction scheme in multi-antenna downlink management.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013
2012
Proceedings of the International Symposium on Communications and Information Technologies, 2012
GM-PAB: A grid-based energy saving scheme with predicted traffic load guidance for cellular networks.
Proceedings of IEEE International Conference on Communications, 2012
Energy saving through a learning framework in greener cellular radio access networks.
Proceedings of the 2012 IEEE Global Communications Conference, 2012