Wei Chen

Orcid: 0000-0001-5090-9915

Affiliations:
  • Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
  • University of Cambridge, Computer Laboratory, UK (PhD 2012)
  • Beijing University of Posts and Telecommunications, China (former)


According to our database1, Wei Chen authored at least 120 papers between 2008 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
CSI-PPPNet: A One-Sided One-for-All Deep Learning Framework for Massive MIMO CSI Feedback.
IEEE Trans. Wirel. Commun., July, 2024

Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems.
IEEE Trans. Commun., July, 2024

Deep Learning for Asynchronous Massive Access With Data Frame Length Diversity.
IEEE Trans. Wirel. Commun., June, 2024

Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach.
IEEE Trans. Veh. Technol., May, 2024

Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints.
CoRR, 2024

AI-Based Beam-Level and Cell-Level Mobility Management for High Speed Railway Communications.
CoRR, 2024

VideoQA-SC: Adaptive Semantic Communication for Video Question Answering.
CoRR, 2024

Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems.
CoRR, 2024

Building Semantic Communication System via Molecules: An End-to-End Training Approach.
CoRR, 2024

Deep Joint Source Channel Coding With Attention Modules Over MIMO Channels.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023
Deep Joint Source-Channel Coding for Image Transmission With Visual Protection.
IEEE Trans. Cogn. Commun. Netw., December, 2023

Deep Joint Source-Channel Coding for Semantic Communications.
IEEE Commun. Mag., November, 2023

Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm.
IEEE Trans. Veh. Technol., June, 2023

An ESPRIT-Based Supervised Channel Estimation Method Using Tensor Train Decomposition for mmWave 3-D MIMO-OFDM Systems.
IEEE Trans. Signal Process., 2023

Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach.
IEEE J. Sel. Areas Commun., 2023

Signal Processing and Learning for Next Generation Multiple Access in 6G.
CoRR, 2023

Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation.
CoRR, 2023

Device-Edge Digital Semantic Communication with Trained Non-Linear Quantization.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Deep Learning-Based Beam Pair Prediction With Finite Beam Quality Information.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

A Comprehensive Study of PAPR Reduction Techniques for Deep Joint Source Channel Coding in OFDM Systems.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Adaptive CNN-Enhanced In-Loop Filter for Lossy Video Coding.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Deep Joint Source-Channel Coding for Person Re-Identification With Related Image Sources.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Swin Transformer-Based CSI Feedback for Massive MIMO.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Off-grid DOA Estimation on Uniform Plane Array Based on Structured Sparse Bayesian Learning.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

RIS-Aided Communication with Compressed Sensing Channel Estimation: Analysis and Discrete Phase Shifts Design.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

A Priori Based Deep Unfolding Method for mmWave Channel Estimation in MIMO Radar Aided V2X Communications.
Proceedings of the IEEE International Conference on Communications, 2023

Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Compressive Sensing-Based Joint Activity and Data Detection for Grant-Free Massive IoT Access.
IEEE Trans. Wirel. Commun., 2022

Joint Activity Detection and Channel Estimation in Massive MIMO Systems With Angular Domain Enhancement.
IEEE Trans. Wirel. Commun., 2022

Enhanced Few-Shot Learning for Intrusion Detection in Railway Video Surveillance.
IEEE Trans. Intell. Transp. Syst., 2022

A Plug-and-Play Priors Framework for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022

Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules.
IEEE Trans. Circuits Syst. Video Technol., 2022

Robust RGB-Guided Super-Resolution of Hyperspectral Images via $\text{TV}^{3}$ Minimization.
IEEE Signal Process. Lett., 2022

Geometrical Characterization of Sensor Placement for Cone-Invariant and Multi-Agent Systems against Undetectable Zero-Dynamics Attacks.
SIAM J. Control. Optim., 2022

Hyperspectral Unmixing via Nonnegative Matrix Factorization With Handcrafted and Learned Priors.
IEEE Geosci. Remote. Sens. Lett., 2022

Prior Information Aided Deep Learning Method for Grant-Free NOMA in mMTC.
IEEE J. Sel. Areas Commun., 2022

Blind Modulation Classification Under Uncertain Noise Conditions: A Multitask Learning Approach.
IEEE Commun. Lett., 2022

CSI-PPPNet: A One-Sided Deep Learning Framework for Massive MIMO CSI Feedback.
CoRR, 2022

Data-Driven Compressed Sensing for Massive Wireless Access.
IEEE Commun. Mag., 2022

Real-time Implementation and Evaluation of SDR-based Deep Joint Source-Channel Coding.
Proceedings of the 96th Vehicular Technology Conference, 2022

Deep Reinforcement Learning for Multiple Access in Dynamic IoT Networks Using Bi-GRU.
Proceedings of the IEEE International Conference on Communications, 2022

Dictionary Learning Based Channel Estimation and Activity Detection for mMTC with Massive MIMO.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Data-Driven Beam Tracking for Mobile Millimeter-Wave Communication Systems Without Channel Estimation.
IEEE Wirel. Commun. Lett., 2021

Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach.
IEEE Signal Process. Lett., 2021

Robust and real-time object recognition based on multiple fractal dimension.
Multim. Tools Appl., 2021

Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth.
IEEE J. Sel. Areas Commun., 2021

Deep Joint Encryption and Source-Channel Coding: An Image Privacy Protection Approach.
CoRR, 2021

LSTM Based Scene Detection with Smartphones.
Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

A TTSVD-Enhanced Fast and Accurate Channel Estimation Method for Dual-Polarized Massive MIMO Systems.
Proceedings of the IEEE International Conference on Signal Processing, 2021

Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dual-Net for Joint Channel Estimation and Data Recovery in Grant-free Massive Access.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Channel Non-Line-of-Sight Identification Based on Convolutional Neural Networks.
IEEE Wirel. Commun. Lett., 2020

A Grant-Free Method for Massive Machine-Type Communication With Backward Activity Level Estimation.
IEEE Trans. Signal Process., 2020

A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising.
IEEE Trans. Signal Process., 2020

Optimal Sampling of Water Distribution Network Dynamics Using Graph Fourier Transform.
IEEE Trans. Netw. Sci. Eng., 2020

Tensor Denoising Using Low-Rank Tensor Train Decomposition.
IEEE Signal Process. Lett., 2020

Deep learning methods for solving linear inverse problems: Research directions and paradigms.
Signal Process., 2020

Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules.
CoRR, 2020

Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive Access.
CoRR, 2020

Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance.
CoRR, 2020

Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors.
CoRR, 2020

Contention Based Massive Access Scheme for B5G: A Compressive Sensing Method.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Nonconvex Robust Low-Rank Tensor Reconstruction via an Empirical Bayes Method.
IEEE Trans. Signal Process., 2019

Hierarchical residual stochastic networks for time series recognition.
Inf. Sci., 2019

Performance Evaluation of Autoencoder for Coding and Modulation in Wireless Communications.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Beam-Steering Optimization in Multi-UAVs mmWave Networks: A Mean Field Game Approach.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Deep Learning Based Fast Multiuser Detection for Massive Machine-Type Communication.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

A Grant-Free Access and Data Recovery Method for Massive Machine-Type Communications.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Multi-spectral Image Denoising with Shared Dictionaries and Low-rank Representation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Grant-Free Massive Machine-Type Communications with Backward Activity Detection.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Balancing Energy Efficiency and Hit Ratio in Social-Aware Caching: A Cross Layer Approach.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Learning a discriminative dictionary for classification with outliers.
Signal Process., 2018

Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Flexible Dirty Model Dictionary Learning Approach for Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Nonconvex Algorithm for Simultaneously Sparse and Low-Rank Matrix Reconstruction.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Dictionary Learning Inspired Deep Network for Scene Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing.
IEEE Trans. Signal Process., 2017

Compressive Sensing Reconstruction for Video: An Adaptive Approach Based on Motion Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2017

Simultaneous Sparse Bayesian Learning With Partially Shared Supports.
IEEE Signal Process. Lett., 2017

Approximate Message Passing for Structured Affine Rank Minimization Problem.
IEEE Access, 2017

Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Optimized Pilot Design for Joint Compressive Sensing Multi-User and Channel Detection in Massive MTC.
Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

2016
A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems.
IEEE Trans. Wirel. Commun., 2016

Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks.
IEEE Trans. Veh. Technol., 2016

Simultaneous Bayesian Sparse Approximation With Structured Sparse Models.
IEEE Trans. Signal Process., 2016

Cost-Aware Activity Scheduling for Compressive Sleeping Wireless Sensor Networks.
IEEE Trans. Signal Process., 2016

An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

A Sparsity-Based Clustering Framework for Radio Channel Impulse Responses.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Bayesian learning for the Type-3 joint sparse signal recovery.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Nonconvex compressive sensing reconstruction for tensor using structures in modes.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Support Discrimination Dictionary Learning for Image Classification.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Dictionary Design for Distributed Compressive Sensing.
IEEE Signal Process. Lett., 2015

Clustered Sparse Bayesian Learning.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Multi-Task Learning for Subspace Segmentation.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Approximate message passing for sparse recovering of spatially and temporally correlated data.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Sparsity-fused Kalman filtering for reconstruction of dynamic sparse signals.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Variational Bayesian algorithm for distributed compressive sensing.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Block-Based Feature Adaptive Compressive Sensing for Video.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
Sparse Erroneous Vehicular Trajectory Compression and Recovery via Compressive Sensing.
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

Generalized-KFCS: Motion estimation enhanced Kalman filtered compressive sensing for video.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Exploiting the convex-concave penalty for tracking: A novel dynamic reweighted sparse Bayesian learning algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2014

Compressive sleeping wireless sensor networks with active node selection.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Compressive sensing for wireless sensor networks.
PhD thesis, 2013

Projection Design for Statistical Compressive Sensing: A Tight Frame Based Approach.
IEEE Trans. Signal Process., 2013

Dictionary Learning With Optimized Projection Design for Compressive Sensing Applications.
IEEE Signal Process. Lett., 2013

Unlocking Energy Neutrality in Energy Harvesting Wireless Sensor Networks: An Approach Based on Distributed Compressed Sensing.
CoRR, 2013

Exploiting hidden block sparsity: Interdependent matching pursuit for cyclic feature detection.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Towards energy neutrality in energy harvesting wireless sensor networks: A case for distributed compressive sensing?
Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012
A Frechet Mean Approach for Compressive Sensing Date Acquisition and Reconstruction in Wireless Sensor Networks.
IEEE Trans. Wirel. Commun., 2012

On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications.
IEEE Signal Process. Lett., 2012

Energy-efficient signal acquisition in wireless sensor networks: a compressive sensing framework.
IET Wirel. Sens. Syst., 2012

On the benefit of using tight frames for robust data transmission and compressive data gathering in wireless sensor networks.
Proceedings of IEEE International Conference on Communications, 2012

On the design of optimized projections for sensing sparse signals in overcomplete dictionaries.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Distributed Compressive Sensing Reconstruction via Common Support Discovery.
Proceedings of IEEE International Conference on Communications, 2011

Penalized L1 minimization for reconstruction of time-varying sparse signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

2009
Spatial Multiplexing and Scheduling in Cellular Networks with Relay Stations.
Proceedings of the 70th IEEE Vehicular Technology Conference, 2009

2008
Downlink Channel Estimation Model for 802.16e OFDMA System.
Proceedings of the 68th IEEE Vehicular Technology Conference, 2008

Beamforming Methods for Multiuser Relay Networks.
Proceedings of the 68th IEEE Vehicular Technology Conference, 2008


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