Vincent K. N. Lau

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 224

Top Venues

IEEE Trans. Signal Process.

CoRR

IEEE Trans. Wirel. Commun.

ICC

Publications

Minjie Tang, Vincent K. N. Lau
Online Identification and Temperature Tracking Control for Furnace System With a Single Slab and a Single Heater Over the Wirelessly Connected IoT Controller. IEEE Internet Things J. 11 (4) (2024)
Yulan Yuan, Danny H. K. Tsang, Vincent K. N. Lau
Combining Conjugate Gradient and Momentum for Unconstrained Stochastic Optimization With Applications to Machine Learning. IEEE Internet Things J. 11 (13) (2024)
Yazhou Li, Yufei Jiang, Xu Zhu, Sumei Sun, Vincent K. N. Lau
Adaptive Low-complexity Orthogonal Matching Pursuit Channel Estimation for DCO-OFDM Systems. WCNC (2024)
Huayan Guo, Vincent K. N. Lau
Bayesian Hierarchical Sparse Autoencoder for Massive MIMO CSI Feedback. IEEE Trans. Signal Process. 72 (2024)
Yangliu Zhao, Yinglei Teng, An Liu, Xiaojuan Wang, Vincent K. N. Lau
Joint UL/DL Dictionary Learning and Channel Estimation via Two-Timescale Optimization in Massive MIMO Systems. IEEE Trans. Wirel. Commun. 23 (3) (2024)
Yanfeng Zhang, Xu Zhu, Yujie Liu, Yufei Jiang, Yong Liang Guan, David González G., Vincent K. N. Lau
A Cross-Domain Iterative OTFS Receiver for Sparse Doubly Selective Channels. IEEE Wirel. Commun. Lett. 13 (1) (2024)
Chengyu Xia, Danny H. K. Tsang, Vincent K. N. Lau
Structured Bayesian Federated Learning for Green AI: A Decentralized Model Compression Using Turbo-VBI-Based Approach. IEEE Internet Things J. 11 (7) (2024)
Chengyu Xia, Danny H. K. Tsang, Vincent K. N. Lau
Bayesian Federated Model Compression for Communication and Computation Efficiency. CoRR (2024)
Yangchen Li, Ying Cui, Vincent K. N. Lau
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems. IEEE Trans. Wirel. Commun. 23 (7) (2024)
Chengyu Xia, Huayan Guo, Haoyu Ma, Danny H. K. Tsang, Vincent K. N. Lau
Multi-Resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach. IEEE Trans. Signal Process. 72 (2024)
Xiayue Liu, Xu Zhu, Yufei Jiang, Jie Cao, Sumei Sun, Vincent K. N. Lau
Independent Encoding Versus Joint Encoding: Short Frame Structure Optimization for Heterogeneous URLLC Systems. IEEE Trans. Commun. 72 (6) (2024)
Nilesh Kumar Jha, Vincent K. N. Lau
Temporally Correlated Compressed Sensing Using Generative Models for Channel Estimation in Unmanned Aerial Vehicles. IEEE Trans. Wirel. Commun. 23 (3) (2024)
Wei Xu, An Liu, Yiting Zhang, Vincent K. N. Lau
Bayesian Federated Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing. CoRR (2024)
Jiaqi Jiang, Lixiang Lian, Tao Yu, Qi Shi, Shunqing Zhang, Xiaojing Chen, Vincent K. N. Lau
A Novel Dual-Driven Channel Estimation Scheme for Spatially Non-Stationary Fading Environments. IEEE Trans. Wirel. Commun. 23 (7) (2024)
Liqun Su, Vincent K. N. Lau
Accelerated Federated Learning Over Wireless Fading Channels With Adaptive Stochastic Momentum. IEEE Internet Things J. 11 (8) (2024)
Nilesh Kumar Jha, Huayan Guo, Vincent K. N. Lau
Robust Over-The-Air Aggregation for uplink OFDM system under burst sparse interference. SPAWC (2023)
Chikun Liao, Feng Wang, Guojun Han, Yongwei Huang, Vincent K. N. Lau
Beamforming Design for Hybrid Active-Passive RIS Assisted Integrated Sensing and Communications. IEEE Commun. Lett. 27 (11) (2023)
Chengyu Xia, Danny H. K. Tsang, Vincent K. N. Lau
Structured Bayesian Compression for Deep Neural Networks Based on the Turbo-VBI Approach. IEEE Trans. Signal Process. 71 (2023)
Yanfeng Zhang, Xu Zhu, Yujie Liu, Yufei Jiang, Yong Liang Guan, David González G., Vincent K. N. Lau
Sparse Superimposed Vector Transmission for Short-Packet High-Mobility Communication. IEEE Wirel. Commun. Lett. 12 (11) (2023)
Ye Xue, Vincent K. N. Lau
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Minjie Tang, Vincent K. N. Lau
Online Learning Algorithms for Zero-Sum Games of Linear Systems over Wireless MIMO Fading Channels with Uncountable State Space. CDC (2023)
Jingxuan Liang, Hong Xing, Feng Wang, Vincent K. N. Lau
Joint Task Offloading and Cache Placement for Energy-Efficient Mobile Edge Computing Systems. IEEE Wirel. Commun. Lett. 12 (4) (2023)
Haoyu Ma, Huayan Guo, Vincent K. N. Lau
Communication-Efficient Federated Multitask Learning Over Wireless Networks. IEEE Internet Things J. 10 (1) (2023)
Jiaying Zhou, Xu Zhu, Jie Cao, Xiaogang Xiong, Yufei Jiang, Sumei Sun, Vincent K. N. Lau
Predictive Control and Communication Co-Design with Fuzzy Logic Based Scheduling for Industrial IoT. ICC (2023)
Minjie Tang, Songfu Cai, Vincent K. N. Lau
Online System Identification and Control for Linear Systems With Multiagent Controllers Over Wireless Interference Channels. IEEE Trans. Autom. Control. 68 (10) (2023)
Ye Xue, An Liu, Yang Li, Qingjiang Shi, Vincent K. N. Lau
Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC. ICC (2023)
Zhihao Dong, Xu Zhu, Jie Cao, Yufei Jiang, Vincent K. N. Lau, Sumei Sun
Fuzzy Logic Assisted Client Selection and Energy-Efficient Joint Optimization for Hierarchical Federated Learning. ICC (2023)
Yitu Wang, Wei Wang, Vincent K. N. Lau, Takayuki Nakachi, Zhaoyang Zhang
Stochastic Resource Allocation and Delay Analysis for Mobile Edge Computing Systems. IEEE Trans. Commun. 71 (7) (2023)
Ye Xue, Vincent K. N. Lau
Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation. CoRR (2023)
Jie Cao, Xu Zhu, Sumei Sun, Zhongxiang Wei, Yufei Jiang, Jingjing Wang, Vincent K. N. Lau
Toward Industrial Metaverse: Age of Information, Latency and Reliability of Short-Packet Transmission in 6G. IEEE Wirel. Commun. 30 (2) (2023)
Chengyu Xia, Danny H. K. Tsang, Vincent K. N. Lau
Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI Approach. CoRR (2023)
Feng Wang, Songfu Cai, Vincent K. N. Lau
Decentralized DNN Task Partitioning and Offloading Control in MEC Systems With Energy Harvesting Devices. IEEE J. Sel. Top. Signal Process. 17 (1) (2023)
Songfu Cai, Vincent K. N. Lau
Online Optimal State Feedback Control of Linear Systems Over Wireless MIMO Fading Channels. IEEE Trans. Autom. Control. 68 (7) (2023)
Suhail Mohmad Shah, Vincent K. N. Lau
Model Compression for Communication Efficient Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Zhixiang Xu, Xu Zhu, Yanfeng Zhang, Yufei Jiang, Vincent K. N. Lau, Sumei Sun
Sparse ICA Based Semi-Blind Massive MIMO Channel Estimation without Prior Information of Inter-Cell Interference. VTC Fall (2023)
Jingxuan Liang, Hong Xing, Feng Wang, Vincent K. N. Lau
Joint Task Offloading and Cache Placement for Energy-Efficient Mobile Edge Computing Systems. CoRR (2023)
Yangchen Li, Ying Cui, Vincent K. N. Lau
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems. CoRR (2023)
Xuanyu Zheng, Yuanyuan Bi, Huayan Guo, Vincent K. N. Lau
Variational Bayesian Autoencoder for Channel Compression and Feedback in Massive MIMO Systems. ICC (2023)
Feng Wang, Songfu Cai, Vincent K. N. Lau
Sequential Offloading for Distributed DNN Computation in Multiuser MEC Systems. IEEE Internet Things J. 10 (20) (2023)
Ye Xue, An Liu, Yang Li, Qingjiang Shi, Vincent K. N. Lau
Joint Activity Detection and Channel Estimation in Massive Machine-Type Communications with Low-Resolution ADC. CoRR (2023)
Jie Cao, Xu Zhu, Sumei Sun, Yufei Jiang, Zhongxiang Wei, Vincent K. N. Lau
Multiplexing or Diversity: AoI-Oriented Short-Packet Transmission Over Fading Channels. IEEE Trans. Commun. 71 (2) (2023)
Suhail M. Shah, Liqun Su, Vincent K. N. Lau
Robust Federated Learning Over Noisy Fading Channels. IEEE Internet Things J. 10 (9, May 1) (2023)
Tingting Su, Hanye Li, Yufei Jiang, Xu Zhu, Xiayue Liu, Sumei Sun, Vincent K. N. Lau
Phase Rotation Based Precoding for MISO OWC Systems With Highly Correlated Channels. IEEE Trans. Commun. 71 (10) (2023)
Chikun Liao, Feng Wang, Vincent K. N. Lau
Optimized Design for IRS-Assisted Integrated Sensing and Communication Systems in Clutter Environments. IEEE Trans. Commun. 71 (8) (2023)
Huayan Guo, Vincent K. N. Lau
Robust Deep Learning for Uplink Channel Estimation in Cellular Network Under Inter-Cell Interference. IEEE J. Sel. Areas Commun. 41 (6) (2023)
Zhihao Dong, Xu Zhu, Jie Cao, Yufei Jiang, Vincent K. N. Lau
Task-Oriented Communications for Industrial Metaverse: Key Techniques and Open Challenges. IEEE Internet Things Mag. 6 (4) (2023)
Binghui Wang, Yinglei Teng, Vincent K. N. Lau, Zhu Han
CCA-Net: A Lightweight Network Using Criss-Cross Attention for CSI Feedback. IEEE Commun. Lett. 27 (7) (2023)
Zezhong Zhang, Guangxu Zhu, Rui Wang, Vincent K. N. Lau, Kaibin Huang
Turning Channel Noise Into an Accelerator for Over-the-Air Principal Component Analysis. IEEE Trans. Wirel. Commun. 21 (10) (2022)
Nilesh Kumar Jha, Vincent K. N. Lau
Transformer-Based Online Bayesian Neural Networks for Grant-Free Uplink Access in CRAN With Streaming Variational Inference. IEEE Internet Things J. 9 (9) (2022)
Yangliu Zhao, Yinglei Teng, An Liu, Vincent K. N. Lau
Two-Timescale Joint UL/DL Dictionary Learning and Channel Estimation in Massive MIMO Systems. GLOBECOM (2022)
Minjie Tang, Vincent K. N. Lau
Decentralized Event-Triggered Scheduling and Control for Multiagent Linear Systems Over Wireless Interference Channels. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Chikun Liao, Feng Wang, Vincent K. N. Lau
Optimized Design for IRS-Assisted Integrated Sensing and Communication Systems in Clutter Environments. CoRR (2022)
Man Chu, An Liu, Vincent K. N. Lau, Chen Jiang, Tingting Yang
Deep Reinforcement Learning Based End-to-End Multiuser Channel Prediction and Beamforming. IEEE Trans. Wirel. Commun. 21 (12) (2022)
Minjie Tang, Songfu Cai, Vincent K. N. Lau
Radix-Partition-Based Over-the-Air Aggregation and Low-Complexity State Estimation for IoT Systems Over Wireless Fading Channels. IEEE Trans. Signal Process. 70 (2022)
Ye Xue, Liqun Su, Vincent K. N. Lau
FedOComp: Two-Timescale Online Gradient Compression for Over-the-Air Federated Learning. IEEE Internet Things J. 9 (19) (2022)
Xuanyu Zheng, Vincent K. N. Lau
Federated Online Deep Learning for CSIT and CSIR Estimation of FDD Multi-User Massive MIMO Systems. IEEE Trans. Signal Process. 70 (2022)
Yinglei Teng, Yangliu Zhao, Min Wei, An Liu, Vincent K. N. Lau
Sparse Hybrid Precoding for Power Minimization With an Adaptive Antenna Structure in Massive MIMO Systems. IEEE Trans. Wirel. Commun. 21 (7) (2022)
Huayan Guo, Vincent K. N. Lau
Uplink Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems. IEEE Trans. Signal Process. 70 (2022)
Fei Han, Vincent K. N. Lau, Yi Gong
Over-the-Air Computation of Large-Scale Nomographic Functions in MapReduce Over the Edge Cloud Network. IEEE Internet Things J. 9 (14) (2022)
Feng Wang, Vincent K. N. Lau
Multi-Level Over-the-Air Aggregation of Mobile Edge Computing Over D2D Wireless Networks. IEEE Trans. Wirel. Commun. 21 (10) (2022)
Zhenyi Lin, Xiaoyang Li, Vincent K. N. Lau, Yi Gong, Kaibin Huang
Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis. IEEE Trans. Wirel. Commun. 21 (3) (2022)
Feng Wang, Vincent K. N. Lau
Dynamic RAT Selection and Transceiver Optimization for Mobile-Edge Computing Over Multi-RAT Heterogeneous Networks. IEEE Internet Things J. 9 (20) (2022)
Xuanyu Zheng, Vincent K. N. Lau
Simultaneous Learning and Inferencing of DNN-Based mmWave Massive MIMO Channel Estimation in IoT Systems With Unknown Nonlinear Distortion. IEEE Internet Things J. 9 (1) (2022)
Minjie Tang, Songfu Cai, Vincent K. N. Lau
Online System Identification and Optimal Control for Mission-Critical IoT Systems Over MIMO Fading Channels. IEEE Internet Things J. 9 (21) (2022)
Shuqi Chai, Vincent K. N. Lau
Mixed-Timescale Request-Driven User Association, Trajectory and Radio Resource Control for Cache-Enabled Multi-UAV Networks. IEEE Trans. Signal Process. 70 (2022)
Feng Wang, Songfu Cai, Vincent K. N. Lau
Sequential Offloading for Distributed DNN Computation in Multiuser MEC Systems. CoRR (2022)
Songfu Cai, Vincent K. N. Lau
Remote State Estimation of Nonlinear Systems Over Fading Channels via Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Man Chu, An Liu, Junting Chen, Vincent K. N. Lau, Shuguang Cui
A Stochastic Geometry Analysis for Energy-Harvesting-Based Device-to-Device Communication. IEEE Internet Things J. 9 (2) (2022)
Yanfeng Zhang, Xu Zhu, Yujie Liu, Yufei Jiang, Yong Liang Guan, Vincent K. N. Lau
Hierarchical BEM Based Channel Estimation With Very Low Pilot Overhead for High Mobility MIMO-OFDM Systems. IEEE Trans. Veh. Technol. 71 (10) (2022)
Bingpeng Zhou, Jinming Wen, Hongyang Chen, Vincent K. N. Lau
The Effect of Multipath Propagation on Performance Limit of mmWave MIMO-Based Position, Orientation and Channel Estimation. IEEE Trans. Veh. Technol. 71 (4) (2022)
Liqun Su, Vincent K. N. Lau
Data and Channel-Adaptive Sensor Scheduling for Federated Edge Learning via Over-the-Air Gradient Aggregation. IEEE Internet Things J. 9 (3) (2022)
Man Chu, An Liu, Chen Jiang, Vincent K. N. Lau, Tingting Yang
Wireless Channel Prediction for Multi-user Physical Layer with Deep Reinforcement Learning. VTC Spring (2022)
Liqun Su, Vincent K. N. Lau
Decentralized Sensor Scheduling, Bandwidth Allocation, and Dynamic Quantization for FL Under Hybrid Data Partitioning. IEEE Internet Things J. 9 (21) (2022)
Feng Wang, Jie Xu, Vincent K. N. Lau, Shuguang Cui
Amplify-and-Forward Relaying for Hierarchical Over-the-Air Computation. IEEE Trans. Wirel. Commun. 21 (12) (2022)
Minjie Tang, Songfu Cai, Vincent K. N. Lau
Remote State Estimation With Asynchronous Mission-Critical IoT Sensors. IEEE J. Sel. Areas Commun. 39 (3) (2021)
Bingpeng Zhou, An Liu, Vincent K. N. Lau, Jinming Wen, Shahid Mumtaz, Ali Kashif Bashir, Syed Hassan Ahmed
Performance Limits of Visible Light-Based Positioning for Internet-of-Vehicles: Time-Domain Localization Cooperation Gain. IEEE Trans. Intell. Transp. Syst. 22 (8) (2021)
Liqun Su, Vincent K. N. Lau
Distributed Edge Learning with Inter-Type and Intra-Type Over-the-Air Collaboration. ICC (2021)
Huayan Guo, Yifan Zhu, Haoyu Ma, Vincent K. N. Lau, Kaibin Huang, Xiaofan Li, Huabin Nong, Mingyu Zhou
Over-the-Air Aggregation for Federated Learning: Waveform Superposition and Prototype Validation. J. Commun. Inf. Networks 6 (4) (2021)
Zhenyi Lin, Xiaoyang Li, Vincent K. N. Lau, Yi Gong, Kaibin Huang
Spatial Convergence of Federated Learning in Large-Scale Cellular Networks. SPAWC (2021)
Qi Shi, Yangyu Liu, Shunqing Zhang, Shugong Xu, Vincent K. N. Lau
A Unified Channel Estimation Framework for Stationary and Non-Stationary Fading Environments. IEEE Trans. Commun. 69 (7) (2021)
Xuanyu Zheng, Vincent K. N. Lau
Online DNN-based Channel Estimator for Massive MIMO Systems with Nonlinear Distortion. GLOBECOM (2021)
Feng Wang, Vincent K. N. Lau
Dynamic RAT Selection and Transceiver Optimization for Mobile Edge Computing Over Multi-RAT Heterogeneous Networks. CoRR (2021)
Yifan Zhu, Huayan Guo, Vincent K. N. Lau
Bayesian Channel Estimation in Multi-User Massive MIMO With Extremely Large Antenna Array. IEEE Trans. Signal Process. 69 (2021)
Zhenyi Lin, Xiaoyang Li, Vincent K. N. Lau, Yi Gong, Kaibin Huang
Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis. CoRR (2021)
Ye Xue, Vincent K. N. Lau
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method. CoRR (2021)
Ye Xue, Yifei Shen, Vincent K. N. Lau, Jun Zhang, Khaled B. Letaief
Blind Data Detection in Massive MIMO via ℓ₃-Norm Maximization Over the Stiefel Manifold. IEEE Trans. Wirel. Commun. 20 (2) (2021)
Ye Xue, Vincent K. N. Lau, Songfu Cai
Efficient Sparse Coding Using Hierarchical Riemannian Pursuit. IEEE Trans. Signal Process. 69 (2021)
Zezhong Zhang, Rui Wang, Tengfei Li, Lixin Sun, Vincent K. N. Lau, Kaibin Huang
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis. SPAWC (2021)
Shuqi Chai, Vincent K. N. Lau
Online Trajectory and Radio Resource Optimization for Cache-enabled Multi-UAV Networks. ICC (2021)
Shuqi Chai, Vincent K. N. Lau
Multi-UAV Trajectory and Power Optimization for Cached UAV Wireless Networks With Energy and Content Recharging-Demand Driven Deep Learning Approach. IEEE J. Sel. Areas Commun. 39 (10) (2021)
Songfu Cai, Vincent K. N. Lau
RNN-Based Learning of Nonlinear Dynamic System Using Wireless IIoT Networks. IEEE Internet Things J. 8 (14) (2021)
Xuanyu Zheng, Vincent K. N. Lau
Online Deep Neural Networks for MmWave Massive MIMO Channel Estimation With Arbitrary Array Geometry. IEEE Trans. Signal Process. 69 (2021)
Yangchen Li, Ying Cui, Vincent K. N. Lau
Optimization-Based GenQSGD for Federated Edge Learning. CoRR (2021)
Minjie Tang, Songfu Cai, Vincent K. N. Lau
Over-the-Air Aggregation With Multiple Shared Channels and Graph-Based State Estimation for Industrial IoT Systems. IEEE Internet Things J. 8 (19) (2021)
Yinglei Teng, Li Jia, An Liu, Vincent K. N. Lau
A Hybrid Pilot Beamforming and Channel Tracking Scheme for Massive MIMO Systems. IEEE Trans. Wirel. Commun. 20 (9) (2021)
Liqun Su, Vincent K. N. Lau
Hierarchical Federated Learning for Hybrid Data Partitioning Across Multitype Sensors. IEEE Internet Things J. 8 (13) (2021)
Zezhong Zhang, Guangxu Zhu, Rui Wang, Vincent K. N. Lau, Kaibin Huang
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis. CoRR (2021)
Feng Wang, Vincent K. N. Lau
Multi-Level Over-the-Air Aggregation of Mobile Edge Computing over D2D Wireless Networks. CoRR (2021)
Nilesh Kumar Jha, Vincent K. N. Lau
Online Downlink Multi-User Channel Estimation for mmWave Systems Using Bayesian Neural Network. IEEE J. Sel. Areas Commun. 39 (8) (2021)
Yangchen Li, Ying Cui, Vincent K. N. Lau
An Optimization Framework for Federated Edge Learning. CoRR (2021)

Vincent K. N. Lau.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Vincent K. N. Lau