Wei Chen

CoRR, 2024

Deep Joint Source Channel Coding With Attention Modules Over MIMO Channels.

[BibT_eX]

[DOI]

Weiran Jiang

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Deep Learning-Based Grant-Free Massive Access with Age-of-Information Minimization.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Deep Learning-Based CTU Splitting and Dynamic GOP Adjusting for Semantic Aware Video Compression.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Deep Joint Source-Channel Coding for Image Transmission With Visual Protection.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., December, 2023

Deep Joint Source-Channel Coding for Semantic Communications.

[BibT_eX]

[DOI]

IEEE Commun. Mag., November, 2023

Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., June, 2023

An ESPRIT-Based Supervised Channel Estimation Method Using Tensor Train Decomposition for mmWave 3-D MIMO-OFDM Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Device-Edge Digital Semantic Communication with Trained Non-Linear Quantization.

[BibT_eX]

[DOI]

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Deep Learning-Based Beam Pair Prediction With Finite Beam Quality Information.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Adaptive CNN-Enhanced In-Loop Filter for Lossy Video Coding.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Deep Joint Source-Channel Coding for Person Re-Identification With Related Image Sources.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Swin Transformer-Based CSI Feedback for Massive MIMO.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Siyuan Wang

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Compressive Sensing-Based Joint Activity and Data Detection for Grant-Free Massive IoT Access.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Joint Activity Detection and Channel Estimation in Massive MIMO Systems With Angular Domain Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Enhanced Few-Shot Learning for Intrusion Detection in Railway Video Surveillance.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

A Plug-and-Play Priors Framework for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Robust RGB-Guided Super-Resolution of Hyperspectral Images via $\text{TV}^{3}$ Minimization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

Geometrical Characterization of Sensor Placement for Cone-Invariant and Multi-Agent Systems against Undetectable Zero-Dynamics Attacks.

[BibT_eX]

[DOI]

Karl Henrik Johansson

Jie Chen

SIAM J. Control. Optim., 2022

Hyperspectral Unmixing via Nonnegative Matrix Factorization With Handcrafted and Learned Priors.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Prior Information Aided Deep Learning Method for Grant-Free NOMA in mMTC.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

Blind Modulation Classification Under Uncertain Noise Conditions: A Multitask Learning Approach.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Data-Driven Compressed Sensing for Massive Wireless Access.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2022

Real-time Implementation and Evaluation of SDR-based Deep Joint Source-Channel Coding.

[BibT_eX]

[DOI]

Proceedings of the 96th Vehicular Technology Conference, 2022

Deep Reinforcement Learning for Multiple Access in Dynamic IoT Networks Using Bi-GRU.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Dictionary Learning Based Channel Estimation and Activity Detection for mMTC with Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

2021

Data-Driven Beam Tracking for Mobile Millimeter-Wave Communication Systems Without Channel Estimation.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2021

Online Construction of Variable Span Linear Filters Using a Fixed-Point Approach.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Robust and real-time object recognition based on multiple fractal dimension.

[BibT_eX]

[DOI]

Hainan Wang

Baochang Zhang

Multim. Tools Appl., 2021

Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

LSTM Based Scene Detection with Smartphones.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Signal Processing, 2021

Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework.

[BibT_eX]

[DOI]

David Wipf

Miguel Rodrigues

Proceedings of the IEEE International Conference on Acoustics, 2021

Dual-Net for Joint Channel Estimation and Data Recovery in Grant-free Massive Access.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

Channel Non-Line-of-Sight Identification Based on Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2020

A Grant-Free Method for Massive Machine-Type Communication With Backward Activity Level Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

Jie Chen

IEEE Trans. Signal Process., 2020

Optimal Sampling of Water Distribution Network Dynamics Using Graph Fourier Transform.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Tensor Denoising Using Low-Rank Tensor Train Decomposition.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Deep learning methods for solving linear inverse problems: Research directions and paradigms.

[BibT_eX]

[DOI]

Signal Process., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Xi Chen

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Contention Based Massive Access Scheme for B5G: A Compressive Sensing Method.

[BibT_eX]

[DOI]

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Nonconvex Robust Low-Rank Tensor Reconstruction via an Empirical Bayes Method.

[BibT_eX]

[DOI]

Nan Song

IEEE Trans. Signal Process., 2019

Hierarchical residual stochastic networks for time series recognition.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Performance Evaluation of Autoencoder for Coding and Modulation in Wireless Communications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Deep Learning Based Fast Multiuser Detection for Massive Machine-Type Communication.

[BibT_eX]

[DOI]

Yanna Bai

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

A Grant-Free Access and Data Recovery Method for Massive Machine-Type Communications.

[BibT_eX]

[DOI]

Han Xiao

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Multi-spectral Image Denoising with Shared Dictionaries and Low-rank Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Grant-Free Massive Machine-Type Communications with Backward Activity Detection.

[BibT_eX]

[DOI]

Han Xiao

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Balancing Energy Efficiency and Hit Ratio in Social-Aware Caching: A Cross Layer Approach.

[BibT_eX]

[DOI]

Yan Fang

Lixin Li

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Learning a discriminative dictionary for classification with outliers.

[BibT_eX]

[DOI]

Jiaming Qi

Signal Process., 2018

Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter.

[BibT_eX]

[DOI]

Nan Song

Kezhi Li

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Flexible Dirty Model Dictionary Learning Approach for Classification.

[BibT_eX]

[DOI]

Jiaming Qi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Nonconvex Algorithm for Simultaneously Sparse and Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Dictionary Learning Inspired Deep Network for Scene Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Compressive Sensing Reconstruction for Video: An Adaptive Approach Based on Motion Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

Simultaneous Sparse Bayesian Learning With Partially Shared Supports.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Approximate Message Passing for Structured Affine Rank Minimization Problem.

[BibT_eX]

[DOI]

IEEE Access, 2017

Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach.

[BibT_eX]

[DOI]

Nan Song

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.

[BibT_eX]

[DOI]

Fan Xiao

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.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2016

Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2016

Simultaneous Bayesian Sparse Approximation With Structured Sparse Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Cost-Aware Activity Scheduling for Compressive Sleeping Wireless Sensor Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Bayesian learning for the Type-3 joint sparse signal recovery.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Communications, 2016

Nonconvex compressive sensing reconstruction for tensor using structures in modes.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Support Discrimination Dictionary Learning for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Dictionary Design for Distributed Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Clustered Sparse Bayesian Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Multi-Task Learning for Subspace Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Approximate message passing for sparse recovering of spatially and temporally correlated data.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Sparsity-fused Kalman filtering for reconstruction of dynamic sparse signals.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Variational Bayesian algorithm for distributed compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Block-Based Feature Adaptive Compressive Sensing for Video.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014

Sparse Erroneous Vehicular Trajectory Compression and Recovery via Compressive Sensing.

[BibT_eX]

[DOI]

Miao Hu

Zhangdui Zhong

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Compressive sleeping wireless sensor networks with active node selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2014

2013

Compressive sensing for wireless sensor networks.

[BibT_eX]

[DOI]

PhD thesis, 2013

Projection Design for Statistical Compressive Sensing: A Tight Frame Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Dictionary Learning With Optimized Projection Design for Compressive Sensing Applications.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

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

[BibT_eX]

[DOI]

Yiannis Andreopoulos

CoRR, 2013

Exploiting hidden block sparsity: Interdependent matching pursuit for cyclic feature detection.

[BibT_eX]

[DOI]

Yu Wang

Proceedings of the 2013 IEEE Global Communications Conference, 2013

Towards energy neutrality in energy harvesting wireless sensor networks: A case for distributed compressive sensing?

[BibT_eX]

[DOI]

Yiannis Andreopoulos

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.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2012

On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2012

Energy-efficient signal acquisition in wireless sensor networks: a compressive sensing framework.

[BibT_eX]

[DOI]

IET Wirel. Sens. Syst., 2012

On the benefit of using tight frames for robust data transmission and compressive data gathering in wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2012

On the design of optimized projections for sensing sparse signals in overcomplete dictionaries.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Distributed Compressive Sensing Reconstruction via Common Support Discovery.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2011

Penalized L1 minimization for reconstruction of time-varying sparse signals.

[BibT_eX]

[DOI]