Zhenyu Liu

According to our database, Zhenyu Liu authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Learning for Efficient CSI Feedback in Massive MIMO: Adapting to New Environments and Small Datasets.

Zhenyu Liu, Li Wang, Lianming Xu, Zhi Ding

IEEE Trans. Wirel. Commun., September, 2024

Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Framework.

Zhilin Du, Zhenyu Liu, Haozhen Li, Shilong Fan, Xinyu Gu, Lin Zhang

IEEE Wirel. Commun. Lett., August, 2024

A Progressive-Learning-Based Channel Prediction Within Phase Noise of Independent Oscillators.

Haozhen Li, Xinyu Gu, Jiahui Chen, Shilong Fan, Zhenyu Liu, Lin Zhang

IEEE Wirel. Commun. Lett., June, 2024

E2ENet: An End-to-End Channel Prediction Neural Network Based on Uplink Pilot for FDD Systems.

Shilong Fan, Haozhen Li, Xin Liang, Zhenyu Liu, Xinyu Gu, Lin Zhang

IEEE Wirel. Commun. Lett., May, 2024

Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training.

Shilong Fan, Zhenyu Liu, Xinyu Gu, Haozhen Li

CoRR, 2024

2023

On UAV Serving Nodes Trajectory Planning for Fast Localization in Forest Environment: A Multi-Agent DRL Approach.

Xinwei Wang, Li Wang, Zhenyu Liu, Lianming Xu, Aiguo Fei

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Real-World Wireless Channel Data Augmentation Using Adversarial Autoencoder for DL-Based Massive Mimo CSI Feedback.

Xin Liang, Zhenyu Liu, Lin Zhang

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Training CSI Feedback Model with Federated Learning in Massive Mimo Systems.

Zhilin Du, Haozhen Li, Lei Li, Boyuan Zhang, Zhenyu Liu, Xinyu Gu

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

2022

A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback.

Zhenyu Liu, Mason del Rosario, Zhi Ding

IEEE Trans. Wirel. Commun., 2022

Training Deep Learning Models for Massive MIMO CSI Feedback with Small Datasets in New Environments.

Zhenyu Liu, Zhi Ding

CoRR, 2022

Training Enhancement of Deep Learning Models for Massive MIMO CSI Feedback with Small Datasets.

Zhenyu Liu, Zhi Ding

CoRR, 2022

Lifetime Maximization for UAV-Enabled Integrated Localization and Communication Networks in Emergency Scenarios.

Xinyu Yu, Zhenyu Liu, Lianming Xu, Li Wang

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

An Efficient and Robust UAVs' Path Planning Approach for Timely Data Collection in Wireless Sensor Networks.

Tianzhi Wang, Zhenyu Liu, Lianming Xu, Li Wang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Propagation Path Loss Models in Forest Scenario at 605 MHz.

Zhe Xiao, Shu Sun, Zhenyu Liu, Lianming Xu, Wei Huang, Li Wang, Aiguo Fei

Proceedings of the 96th Vehicular Technology Conference, 2022

Clustering-Enabled Prioritized Access Control for Massive Machine-Type Communications in Smart Grid.

Zhuoyao Shen, Zhenyu Liu, Qiang Ye, Lianming Xu, Li Wang

Proceedings of the 96th Vehicular Technology Conference, 2022

2021

Deep Learning Phase Compression for MIMO CSI Feedback by Exploiting FDD Channel Reciprocity.

Yu-Chien Lin, Zhenyu Liu, Ta-Sung Lee, Zhi Ding

IEEE Wirel. Commun. Lett., 2021

Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information.

Yu-Chien Lin, Zhi Ding, Zhenyu Liu, Ta-Sung Lee

CoRR, 2021

Joint Optimization of UAVs 3-D Placement and Power Allocation in Emergency Communications.

Xuewei Wu, Li Wang, Lianming Xu, Zhenyu Liu, Aiguo Fei

Proceedings of the IEEE Global Communications Conference, 2021

2020

Overcoming the Channel Estimation Barrier in Massive MIMO Communication via Deep Learning.

Zhenyu Liu, Lin Zhang, Zhi Ding

IEEE Wirel. Commun., 2020

MARP: A Distributed MAC Layer Attack Resistant Pseudonym Scheme for VANET.

Zishan Liu, Zhenyu Liu, Lin Zhang, Xiaodong Lin

IEEE Trans. Dependable Secur. Comput., 2020

An Efficient Deep Learning Framework for Low Rate Massive MIMO CSI Reporting.

Zhenyu Liu, Lin Zhang, Zhi Ding

IEEE Trans. Commun., 2020

Wireless Channel Data Augmentation for Artificial Intelligence of Things in Industrial Environment Using Generative Adversarial Networks.

Xin Liang, Zhenyu Liu, Haoran Chang, Lin Zhang

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Spherical Normalization for Learned Compressive Feedback in Massive MIMO CSI Acquisition.

Zhenyu Liu, Mason del Rosario, Xin Liang, Lin Zhang, Zhi Ding

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

Exploiting Bi-Directional Channel Reciprocity in Deep Learning for Low Rate Massive MIMO CSI Feedback.

Zhenyu Liu, Lin Zhang, Zhi Ding

IEEE Wirel. Commun. Lett., 2019

Overcoming the Channel Estimation Barrier in Massive MIMO Communication Systems.

Zhenyu Liu, Lin Zhang, Zhi Ding

CoRR, 2019

2017

Modeling and analysis of indoor coverage probability for future 3D dense mobile networks.

Lei Zhang, Xinyu Gu, Zhenyu Liu, Lin Zhang, Hichan Moon

Proceedings of the 20th International Symposium on Wireless Personal Multimedia Communications, 2017

BLE-horn: A smartphone-based bluetooth low energy vehicle-to-pedestrian safety system.

Mengfei Wu, Bojiao Ma, Zhenyu Liu, Lingyan Xiu, Lin Zhang

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Energy efficiency analysis for future 3D ultra dense mobile networks with sleep mode.

Lei Zhang, Xinyu Gu, Zhenyu Liu, Lin Zhang

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Security/Reliability-Aware Relay Selection with Connection Duration Constraints for Vehicular Networks.

Zhenyu Liu, Lin Zhang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

2016

SenSafe: A Smartphone-Based Traffic Safety Framework by Sensing Vehicle and Pedestrian Behaviors.

Zhenyu Liu, Mengfei Wu, Konglin Zhu, Lin Zhang

Mob. Inf. Syst., 2016

Implementation and performance measurement of a V2X communication system for vehicle and pedestrian safety.

Zishan Liu, Zhenyu Liu, Zhen Meng, Xinyang Yang, Lin Pu, Lin Zhang

Int. J. Distributed Sens. Networks, 2016

2015

Implementing on-board diagnostic and GPS on VANET to safe the vehicle.

Lin Pu, Zhenyu Liu, Zhen Meng, Xinyang Yang, Konglin Zhu, Lin Zhang

Proceedings of the International Conference on Connected Vehicles and Expo, 2015

POFS: A novel pedestrian-oriented forewarning system for vulnerable pedestrian safety.

Zhenyu Liu, Lin Pu, Zhen Meng, Xinyang Yang, Konglin Zhu, Lin Zhang

Proceedings of the International Conference on Connected Vehicles and Expo, 2015