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09/20/2022
Adversarial Bi-Regressor Network for Domain Adaptive Regression
Domain adaptation (DA) aims to transfer the knowledge of a well-labeled ...
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07/18/2022
Quantum Feature Extraction for THz Multi-Layer Imaging
A learning-based THz multi-layer imaging has been recently used for cont...
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05/17/2022
Learning to Learn Quantum Turbo Detection
This paper investigates a turbo receiver employing a variational quantum...
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05/17/2022
Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems
This paper introduces a new quantum computing framework integrated with ...
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05/17/2022
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications
Commercial Wi-Fi devices can be used for integrated sensing and communic...
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05/17/2022
Quantum Transfer Learning for Wi-Fi Sensing
Beyond data communications, commercial-off-the-shelf Wi-Fi devices can b...
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02/19/2022
Multi-Modal Recurrent Fusion for Indoor Localization
This paper considers indoor localization using multi-modal wireless sign...
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01/12/2022
Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning
A key issue in federated learning over wireless channels is how to excha...
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12/28/2021
Multi-Band Wi-Fi Sensing with Matched Feature Granularity
Complementary to the fine-grained channel state information (CSI) from t...
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12/17/2021
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data
We provide a regularization framework for subject transfer learning in w...
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11/18/2021
A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion
This study reports a novel hardware-friendly modular architecture for im...
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11/16/2021
Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming
The increasing demand for video streaming services is the key driver of ...
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06/16/2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals
Convolutional neural networks (CNN) have been frequently used to extract...
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02/25/2021
Protograph-Based Design for QC Polar Codes
We propose a new family of polar coding which realizes high coding gain,...
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10/06/2020
Distributed Coding of Quantized Random Projections
In this paper we propose a new framework for distributed source coding o...
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09/28/2020
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders
Human computer interaction (HCI) involves a multidisciplinary fusion of ...
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08/26/2020
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction
Recent developments in biosignal processing have enabled users to exploi...
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07/22/2020
Robust Machine Learning via Privacy/Rate-Distortion Theory
Robust machine learning formulations have emerged to address the prevale...
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07/02/2020
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis
Learning data representations that capture task-related features, but ar...
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06/17/2020
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
In typical point cloud delivery, a sender uses octree-based digital vide...
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06/12/2020
Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables
In this paper, we study amplitude shaping schemes for the probabilistic ...
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06/12/2020
Analysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences
In order to realize probabilistically shaped signaling within the probab...
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05/06/2020
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction
We propose a new concept of rateless auto-encoders (RL-AEs) that enable ...
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04/15/2020
Disentangled Adversarial Transfer Learning for Physiological Biosignals
Recent developments in wearable sensors demonstrate promising results fo...
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04/06/2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
Modern face alignment methods have become quite accurate at predicting t...
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11/22/2019
Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation
Recently, data-driven approaches motivated by modern deep learning have ...
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03/27/2019
Adversarial Deep Learning in EEG Biometrics
Deep learning methods for person identification based on electroencephal...
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03/09/2019
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks
This paper studies a new application of deep learning (DL) for optimizin...
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03/09/2019
Learning to Modulate for Non-coherent MIMO
The deep learning trend has recently impacted a variety of fields, inclu...
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03/09/2019
Polar Coding with Chemical Reaction Networks
In this paper, we propose a new polar coding scheme with molecular progr...
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03/08/2019
HoloCast: Graph Signal Processing for Graceful Point Cloud Delivery
In conventional point cloud delivery, a sender uses octree-based digital...
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03/06/2019
Channel Decoding with Quantum Approximate Optimization Algorithm
Motivated by the recent advancement of quantum processors, we investigat...
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12/17/2018
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
We introduce adversarial neural networks for representation learning as ...
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05/21/2018