POFS: A novel pedestrian-oriented forewarning system for vulnerable pedestrian safety. - Zhenyu Liu 002; Lin Pu; Zhen Meng; Xinyang Yang; Konglin Zhu; Lin Zhang 013 (ICCVE, 2015)

Implementing on-board diagnostic and GPS on VANET to safe the vehicle. - Lin Pu; Zhenyu Liu 002; Zhen Meng; Xinyang Yang; Konglin Zhu; Lin Zhang 013 (ICCVE, 2015)

Implementation and performance measurement of a V2X communication system for vehicle and pedestrian safety. - Zishan Liu; Zhenyu Liu 002; Zhen Meng; Xinyang Yang; Lin Pu; Lin Zhang 013 (Int. J. Distributed Sens. Networks, 2016)

SenSafe: A Smartphone-Based Traffic Safety Framework by Sensing Vehicle and Pedestrian Behaviors. - Zhenyu Liu 002; Mengfei Wu; Konglin Zhu; Lin Zhang 013 (Mob. Inf. Syst., 2016)

Security/Reliability-Aware Relay Selection with Connection Duration Constraints for Vehicular Networks. - Zhenyu Liu 002; Lin Zhang 013 (ICA3PP, 2017)

Energy efficiency analysis for future 3D ultra dense mobile networks with sleep mode. - Lei Zhang 192; Xinyu Gu; Zhenyu Liu 002; Lin Zhang 013 (PIMRC, 2017)

BLE-horn: A smartphone-based bluetooth low energy vehicle-to-pedestrian safety system. - Mengfei Wu; Bojiao Ma; Zhenyu Liu 002; Lingyan Xiu; Lin Zhang 013 (WCSP, 2017)

Modeling and analysis of indoor coverage probability for future 3D dense mobile networks. - Lei Zhang 192; Xinyu Gu; Zhenyu Liu 002; Lin Zhang 013; Hichan Moon (WPMC, 2017)

Overcoming the Channel Estimation Barrier in Massive MIMO Communication Systems. - Zhenyu Liu 002; Lin Zhang 013; Zhi Ding 001 (CoRR, 2019)

Exploiting Bi-Directional Channel Reciprocity in Deep Learning for Low Rate Massive MIMO CSI Feedback. - Zhenyu Liu 002; Lin Zhang 013; Zhi Ding 001 (IEEE Wirel. Commun. Lett., 2019)

Spherical Normalization for Learned Compressive Feedback in Massive MIMO CSI Acquisition. - Zhenyu Liu 002; Mason del Rosario; Xin Liang 003; Lin Zhang 013; Zhi Ding 001 (ICC Workshops, 2020)

Wireless Channel Data Augmentation for Artificial Intelligence of Things in Industrial Environment Using Generative Adversarial Networks. - Xin Liang 003; Zhenyu Liu 002; Haoran Chang; Lin Zhang 013 (INDIN, 2020)

An Efficient Deep Learning Framework for Low Rate Massive MIMO CSI Reporting. - Zhenyu Liu 002; Lin Zhang 013; Zhi Ding 001 (IEEE Trans. Commun., 2020)

MARP: A Distributed MAC Layer Attack Resistant Pseudonym Scheme for VANET. - Zishan Liu; Zhenyu Liu 002; Lin Zhang 013; Xiaodong Lin 001 (IEEE Trans. Dependable Secur. Comput., 2020)

Overcoming the Channel Estimation Barrier in Massive MIMO Communication via Deep Learning. - Zhenyu Liu 002; Lin Zhang 013; Zhi Ding 001 (IEEE Wirel. Commun., 2020)

Joint Optimization of UAVs 3-D Placement and Power Allocation in Emergency Communications. - Xuewei Wu; Li Wang 039; Lianming Xu; Zhenyu Liu 002; Aiguo Fei (GLOBECOM, 2021)

Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information. - Yu-Chien Lin; Zhi Ding 001; Zhenyu Liu 002; Ta-Sung Lee (CoRR, 2021)

Deep Learning Phase Compression for MIMO CSI Feedback by Exploiting FDD Channel Reciprocity. - Yu-Chien Lin; Zhenyu Liu 002; Ta-Sung Lee; Zhi Ding 001 (IEEE Wirel. Commun. Lett., 2021)

Clustering-Enabled Prioritized Access Control for Massive Machine-Type Communications in Smart Grid. - Zhuoyao Shen; Zhenyu Liu 002; Qiang Ye 002; Lianming Xu; Li Wang 039 (VTC Fall, 2022)

Propagation Path Loss Models in Forest Scenario at 605 MHz. - Zhe Xiao; Shu Sun; Zhenyu Liu 002; Lianming Xu; Wei Huang; Li Wang 039; Aiguo Fei (VTC Fall, 2022)

An Efficient and Robust UAVs' Path Planning Approach for Timely Data Collection in Wireless Sensor Networks. - Tianzhi Wang; Zhenyu Liu 002; Lianming Xu; Li Wang 039 (WCNC, 2022)

Lifetime Maximization for UAV-Enabled Integrated Localization and Communication Networks in Emergency Scenarios. - Xinyu Yu; Zhenyu Liu 002; Lianming Xu; Li Wang 039 (WCSP, 2022)

Training Enhancement of Deep Learning Models for Massive MIMO CSI Feedback with Small Datasets. - Zhenyu Liu 002; Zhi Ding 001 (CoRR, 2022)

Training Deep Learning Models for Massive MIMO CSI Feedback with Small Datasets in New Environments. - Zhenyu Liu 002; Zhi Ding 001 (CoRR, 2022)

A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback. - Zhenyu Liu 002; Mason del Rosario; Zhi Ding 001 (IEEE Trans. Wirel. Commun., 2022)

Training CSI Feedback Model with Federated Learning in Massive Mimo Systems. - Zhilin Du; Haozhen Li; Lei Li; Boyuan Zhang 001; Zhenyu Liu 002; Xinyu Gu (IC-NIDC, 2023)

Real-World Wireless Channel Data Augmentation Using Adversarial Autoencoder for DL-Based Massive Mimo CSI Feedback. - Xin Liang 003; Zhenyu Liu 002; Lin Zhang 013 (IC-NIDC, 2023)

On UAV Serving Nodes Trajectory Planning for Fast Localization in Forest Environment: A Multi-Agent DRL Approach. - Xinwei Wang; Li Wang 039; Zhenyu Liu 002; Lianming Xu; Aiguo Fei (WCNC, 2023)

Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training. - Shilong Fan; Zhenyu Liu 002; Xinyu Gu; Haozhen Li (CoRR, 2024)

E2ENet: An End-to-End Channel Prediction Neural Network Based on Uplink Pilot for FDD Systems. - Shilong Fan; Haozhen Li; Xin Liang 003; Zhenyu Liu 002; Xinyu Gu; Lin Zhang 013 (IEEE Wirel. Commun. Lett., 2024)

A Progressive-Learning-Based Channel Prediction Within Phase Noise of Independent Oscillators. - Haozhen Li; Xinyu Gu; Jiahui Chen; Shilong Fan; Zhenyu Liu 002; Lin Zhang 013 (IEEE Wirel. Commun. Lett., 2024)

Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Framework. - Zhilin Du; Zhenyu Liu 002; Haozhen Li; Shilong Fan; Xinyu Gu; Lin Zhang 013 (IEEE Wirel. Commun. Lett., 2024)

Deep Learning for Efficient CSI Feedback in Massive MIMO: Adapting to New Environments and Small Datasets. - Zhenyu Liu 002; Li Wang 039; Lianming Xu; Zhi Ding 001 (IEEE Trans. Wirel. Commun., 2024)

Generalizing Deep Learning-Based CSI Feedback in Massive MIMO via ID-Photo-Inspired Preprocessing. - Zhenyu Liu 002; Yi Ma 002; Rahim Tafazolli (WCNC, 2025)

Multivariate Wireless Link Quality Prediction Based on Pre-trained Large Language Models. - Zhuangzhuang Yan; Xinyu Gu; Shilong Fan; Zhenyu Liu 002 (CoRR, 2025)

ResiTok: A Resilient Tokenization-Enabled Framework for Ultra-Low-Rate and Robust Image Transmission. - Zhenyu Liu 002; Yi Ma 002; Rahim Tafazolli (CoRR, 2025)

Deep Homography Estimation-Based Heterogeneous Decoupled Channel Precoding Mapping. - Haozhen Li; Xinyu Gu; Fen He; Zhenyu Liu 002; Lin Zhang 013 (IEEE Wirel. Commun. Lett., 2025)

Leveraging Bi-Directional Channel Reciprocity for Robust Ultra-Low-Rate Implicit CSI Feedback with Deep Learning. - Zhenyu Liu 002; Yi Ma 002; Rahim Tafazolli; Zhi Ding 001 (CoRR, 2025)

Deep Learning-Based Rate-Adaptive CSI Feedback for Wideband XL-MIMO Systems in the Near-Field Domain. - Zhenyu Liu 002; Yi Ma 002; Rahim Tafazolli (CoRR, 2025)