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ORCIDZhenyu Liu 0002
Person information
- affiliation: Beijing University of Posts and Telecommunications, MOE, Key Laboratory of Universal Wireless Communications, China
Other persons with the same name
- Zhenyu Liu — disambiguation page
- Zhenyu Liu 0001
![[0000-0002-8816-766X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8816-766X")
— Tsinghua University, TNList, Beijing, China (and 2 more) - Zhenyu Liu 0003 — Massachusetts Institute of Technology, Laboratory for Information and Decision Systems (LIDS), Cambridge, MA, USA
- Zhenyu Liu 0004 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Zhenyu Liu 0005 — Zhejiang University, State Key Lab of CAD & CG, Hangzhou, China (and 1 more)
- Zhenyu Liu 0006 — Lanzhou University, School of Information Science and Engineering, Lanzhou, China (and 1 more)
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2020 – today
- 2024
[j12]Zhenyu Liu, Li Wang, Lianming Xu, Zhi Ding:
Deep Learning for Efficient CSI Feedback in Massive MIMO: Adapting to New Environments and Small Datasets. IEEE Trans. Wirel. Commun. 23(9): 12297-12312 (2024)- [j11]Shilong Fan, Haozhen Li, Xin Liang, Zhenyu Liu, Xinyu Gu, Lin Zhang:
E2ENet: An End-to-End Channel Prediction Neural Network Based on Uplink Pilot for FDD Systems. IEEE Wirel. Commun. Lett. 13(5): 1285-1289 (2024) - [j10]Haozhen Li, Xinyu Gu, Jiahui Chen, Shilong Fan, Zhenyu Liu, Lin Zhang:
A Progressive-Learning-Based Channel Prediction Within Phase Noise of Independent Oscillators. IEEE Wirel. Commun. Lett. 13(6): 1705-1709 (2024) - [j9]Zhilin Du, Zhenyu Liu, Haozhen Li, Shilong Fan, Xinyu Gu, Lin Zhang:
Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Framework. IEEE Wirel. Commun. Lett. 13(8): 2035-2039 (2024) - [i8]Shilong Fan, Zhenyu Liu, Xinyu Gu, Haozhen Li:
Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training. CoRR abs/2409.00005 (2024) - 2023
- [c16]Xin Liang, Zhenyu Liu, Lin Zhang:
Real-World Wireless Channel Data Augmentation Using Adversarial Autoencoder for DL-Based Massive Mimo CSI Feedback. IC-NIDC 2023: 232-236 - [c15]Zhilin Du, Haozhen Li, Lei Li, Boyuan Zhang, Zhenyu Liu, Xinyu Gu:
Training CSI Feedback Model with Federated Learning in Massive Mimo Systems. IC-NIDC 2023: 446-450 - [c14]Xinwei Wang, Li Wang, Zhenyu Liu, Lianming Xu, Aiguo Fei:
On UAV Serving Nodes Trajectory Planning for Fast Localization in Forest Environment: A Multi-Agent DRL Approach. WCNC 2023: 1-6 - [i7]Zhilin Du, Haozhen Li, Zhenyu Liu, Shilong Fan, Xinyu Gu, Lin Zhang:
Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Framework. CoRR abs/2312.05921 (2023) - 2022
- [j8]Zhenyu Liu, Mason del Rosario, Zhi Ding:
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback. IEEE Trans. Wirel. Commun. 21(2): 1214-1228 (2022) - [c13]Zhuoyao Shen, Zhenyu Liu, Qiang Ye, Lianming Xu, Li Wang:
Clustering-Enabled Prioritized Access Control for Massive Machine-Type Communications in Smart Grid. VTC Fall 2022: 1-5 - [c12]Zhe Xiao, Shu Sun, Zhenyu Liu, Lianming Xu, Wei Huang, Li Wang, Aiguo Fei:
Propagation Path Loss Models in Forest Scenario at 605 MHz. VTC Fall 2022: 1-5 - [c11]Tianzhi Wang, Zhenyu Liu, Lianming Xu, Li Wang:
An Efficient and Robust UAVs' Path Planning Approach for Timely Data Collection in Wireless Sensor Networks. WCNC 2022: 914-919 - [c10]Xinyu Yu, Zhenyu Liu, Lianming Xu, Li Wang:
Lifetime Maximization for UAV-Enabled Integrated Localization and Communication Networks in Emergency Scenarios. WCSP 2022: 905-909 - [i6]Zhe Xiao, Shu Sun, Zhenyu Liu, Lianming Xu, Wei Huang, Li Wang, Aiguo Fei:
Propagation Path Loss Models in Forest Scenario at 605 MHz. CoRR abs/2209.02989 (2022) - [i5]Zhenyu Liu, Zhi Ding:
Training Deep Learning Models for Massive MIMO CSI Feedback with Small Datasets in New Environments. CoRR abs/2211.14785 (2022) - 2021
- [j7]Yu-Chien Lin, Zhenyu Liu, Ta-Sung Lee, Zhi Ding:
Deep Learning Phase Compression for MIMO CSI Feedback by Exploiting FDD Channel Reciprocity. IEEE Wirel. Commun. Lett. 10(10): 2200-2204 (2021) - [c9]Xuewei Wu, Li Wang, Lianming Xu, Zhenyu Liu, Aiguo Fei:
Joint Optimization of UAVs 3-D Placement and Power Allocation in Emergency Communications. GLOBECOM 2021: 1-6 - [i4]Yu-Chien Lin, Zhi Ding, Zhenyu Liu, Ta-Sung Lee:
Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information. CoRR abs/2103.00432 (2021) - 2020
- [j6]Zhenyu Liu, Lin Zhang, Zhi Ding:
An Efficient Deep Learning Framework for Low Rate Massive MIMO CSI Reporting. IEEE Trans. Commun. 68(8): 4761-4772 (2020) - [j5]Zishan Liu, Zhenyu Liu, Lin Zhang, Xiaodong Lin:
MARP: A Distributed MAC Layer Attack Resistant Pseudonym Scheme for VANET. IEEE Trans. Dependable Secur. Comput. 17(4): 869-882 (2020) - [j4]Zhenyu Liu, Lin Zhang, Zhi Ding:
Overcoming the Channel Estimation Barrier in Massive MIMO Communication via Deep Learning. IEEE Wirel. Commun. 27(5): 104-111 (2020) - [c8]Zhenyu Liu, Mason del Rosario, Xin Liang, Lin Zhang, Zhi Ding:
Spherical Normalization for Learned Compressive Feedback in Massive MIMO CSI Acquisition. ICC Workshops 2020: 1-6 - [c7]Xin Liang, Zhenyu Liu, Haoran Chang, Lin Zhang:
Wireless Channel Data Augmentation for Artificial Intelligence of Things in Industrial Environment Using Generative Adversarial Networks. INDIN 2020: 502-507 - [i3]Zhenyu Liu, Mason del Rosario, Zhi Ding:
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback. CoRR abs/2009.09468 (2020)
2010 – 2019
- 2019
- [j3]Zhenyu Liu, Lin Zhang, Zhi Ding:
Exploiting Bi-Directional Channel Reciprocity in Deep Learning for Low Rate Massive MIMO CSI Feedback. IEEE Wirel. Commun. Lett. 8(3): 889-892 (2019) - [i2]Zhenyu Liu, Lin Zhang, Zhi Ding:
Overcoming the Channel Estimation Barrier in Massive MIMO Communication Systems. CoRR abs/1912.10573 (2019) - [i1]Zhenyu Liu, Lin Zhang, Zhi Ding:
An Efficient Deep Learning Framework for Low Rate Massive MIMO CSI Reporting. CoRR abs/1912.10608 (2019) - 2017
- [c6]Zhenyu Liu, Lin Zhang:
Security/Reliability-Aware Relay Selection with Connection Duration Constraints for Vehicular Networks. ICA3PP 2017: 687-694 - [c5]Lei Zhang, Xinyu Gu, Zhenyu Liu, Lin Zhang:
Energy efficiency analysis for future 3D ultra dense mobile networks with sleep mode. PIMRC 2017: 1-6 - [c4]Mengfei Wu, Bojiao Ma, Zhenyu Liu, Lingyan Xiu, Lin Zhang:
BLE-horn: A smartphone-based bluetooth low energy vehicle-to-pedestrian safety system. WCSP 2017: 1-6 - [c3]Lei Zhang, Xinyu Gu, Zhenyu Liu, Lin Zhang, Hichan Moon:
Modeling and analysis of indoor coverage probability for future 3D dense mobile networks. WPMC 2017: 247-252 - 2016
- [j2]Zishan Liu, Zhenyu Liu, Zhen Meng, Xinyang Yang, Lin Pu, Lin Zhang:
Implementation and performance measurement of a V2X communication system for vehicle and pedestrian safety. Int. J. Distributed Sens. Networks 12(9) (2016) - [j1]Zhenyu Liu, Mengfei Wu, Konglin Zhu, Lin Zhang:
SenSafe: A Smartphone-Based Traffic Safety Framework by Sensing Vehicle and Pedestrian Behaviors. Mob. Inf. Syst. 2016: 7967249:1-7967249:13 (2016) - 2015
- [c2]Lin Pu, Zhenyu Liu, Zhen Meng, Xinyang Yang, Konglin Zhu, Lin Zhang:
Implementing on-board diagnostic and GPS on VANET to safe the vehicle. ICCVE 2015: 13-18 - [c1]Zhenyu Liu, Lin Pu, Zhen Meng, Xinyang Yang, Konglin Zhu, Lin Zhang:
POFS: A novel pedestrian-oriented forewarning system for vulnerable pedestrian safety. ICCVE 2015: 100-105
Coauthor Index
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