Wei Chen
Orcid: 0000-0001-5090-9915Affiliations:
- 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:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on cl.cam.ac.uk
On csauthors.net:
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
IEEE Trans. Wirel. Commun., June, 2024
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
Building Semantic Communication System via Molecules: An End-to-End Training Approach.
CoRR, 2024
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
2023
IEEE Trans. Cogn. Commun. Netw., December, 2023
IEEE Commun. Mag., November, 2023
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
IEEE J. Sel. Areas Commun., 2023
Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation.
CoRR, 2023
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
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
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
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
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
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
IEEE J. Sel. Areas Commun., 2022
Blind Modulation Classification Under Uncertain Noise Conditions: A Multitask Learning Approach.
IEEE Commun. Lett., 2022
CoRR, 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
IEEE Signal Process. Lett., 2021
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
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
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
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
IEEE Wirel. Commun. Lett., 2020
A Grant-Free Method for Massive Machine-Type Communication With Backward Activity Level Estimation.
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Process., 2020
Optimal Sampling of Water Distribution Network Dynamics Using Graph Fourier Transform.
IEEE Trans. Netw. Sci. Eng., 2020
IEEE Signal Process. Lett., 2020
Deep learning methods for solving linear inverse problems: Research directions and paradigms.
Signal Process., 2020
CoRR, 2020
Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive Access.
CoRR, 2020
CoRR, 2020
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors.
CoRR, 2020
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Trans. Signal Process., 2019
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
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
Proceedings of the IEEE International Conference on Acoustics, 2019
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
Signal Process., 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
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
IEEE Signal Process. Lett., 2017
IEEE Access, 2017
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
IEEE Trans. Veh. Technol., 2016
IEEE Trans. Signal Process., 2016
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
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
Proceedings of the 2016 IEEE International Conference on Communications, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
2015
IEEE Signal Process. Lett., 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
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
Proceedings of the 2015 IEEE International Conference on Communications, 2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
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
Proceedings of the IEEE Global Communications Conference, 2014
2013
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
Proceedings of IEEE International Conference on Communications, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2009
Proceedings of the 70th IEEE Vehicular Technology Conference, 2009
2008
Proceedings of the 68th IEEE Vehicular Technology Conference, 2008
Proceedings of the 68th IEEE Vehicular Technology Conference, 2008