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09/16/2023
Semantic Information Extraction for Text Data with Probability Graph
In this paper, the problem of semantic information extraction for resour...
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08/25/2023
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Large language models (LLMs) have revolutionized natural language proces...
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08/11/2023
Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions
Recently, big artificial intelligence (AI) models represented by chatGPT...
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06/28/2023
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation
Self-supervised contrastive learning (SSCL) has achieved significant mil...
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06/04/2023
Information-Theoretic Limits on Compression of Semantic Information
As conventional communication systems based on classic information theor...
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05/22/2023
Distributed Learning over Networks with Graph-Attention-Based Personalization
In conventional distributed learning over a network, multiple agents col...
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05/13/2023
Generalized Linear Systems with OAMP/VAMP Receiver: Achievable Rate and Coding Principle
The generalized linear system (GLS) has been widely used in wireless com...
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05/12/2023
Semantic-aware Digital Twin for Metaverse: A Comprehensive Review
To facilitate the deployment of digital twins in Metaverse, the paradigm...
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05/11/2023
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts
We present a sequence-to-sequence vision-language model whose parameters...
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03/29/2023
Real-time Controllable Denoising for Image and Video
Controllable image denoising aims to generate clean samples with human p...
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03/09/2023
Robust Holographic mmWave Beamforming by Self-Supervised Hybrid Deep Learning
Beamforming with large-scale antenna arrays has been widely used in rece...
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02/19/2023
Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity
Communication overhead has become one of the major bottlenecks in the di...
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02/19/2023
On the f-Differential Privacy Guarantees of Discrete-Valued Mechanisms
We consider a federated data analytics problem in which a server coordin...
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02/06/2023
Cooperative Task-Oriented Communication for Multi-Modal Data with Transmission Control
Real-time intelligence applications in Internet of Things (IoT) environm...
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01/05/2023
Energy Efficient Semantic Communication over Wireless Networks with Rate Splitting
In this paper, the problem of wireless resource allocation and semantic ...
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01/04/2023
Secure Semantic Communications: Fundamentals and Challenges
Semantic communication allows the receiver to know the intention instead...
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01/03/2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Unmanned aerial vehicle (UAV) swarms are considered as a promising techn...
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12/05/2022
WAIR-D: Wireless AI Research Dataset
It is a common sense that datasets with high-quality data samples play a...
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12/02/2022
Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions
Future wireless systems are envisioned to create an endogenously hologra...
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11/21/2022
Resource Allocation for Capacity Optimization in Joint Source-Channel Coding Systems
Benefited from the advances of deep learning (DL) techniques, deep joint...
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11/15/2022
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image
The existing SSCL of RSI is built based on constructing positive and neg...
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11/07/2022
Tri-Polarized Holographic MIMO Surface in Near-Field: Channel Modeling and Precoding Design
This paper investigates the utilization of triple polarization (TP) for ...
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11/02/2022
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Explainable Artificial Intelligence (XAI) is transforming the field of A...
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10/31/2022
Model Compression for DNN-Based Text-Independent Speaker Verification Using Weight Quantization
DNN-based models achieve high performance in the speaker verification (S...
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10/07/2022
Over-the-Air Split Machine Learning in Wireless MIMO Networks
In split machine learning (ML), different partitions of a neural network...
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09/18/2022
Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO
Reconfigurable intelligent surface (RIS) can significantly enhance the s...
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08/27/2022
Extra DoF of Near-Field Holographic MIMOCommunications Leveraging Evanescent Waves
In this letter, we consider transceivers with spatially-constrained ante...
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08/12/2022
Multiple RISs Assisted Cell-Free Networks With Two-timescale CSI: Performance Analysis and System Design
Reconfigurable intelligent surface (RIS) can be employed in a cell-free ...
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07/08/2022
Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization
The roll-out of various emerging wireless services has triggered the nee...
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07/07/2022
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
This paper addresses an important problem of ranking the pre-trained dee...
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05/25/2022
Semantic-preserved Communication System for Highly Efficient Speech Transmission
Deep learning (DL) based semantic communication methods have been explor...
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04/11/2022
Multi-User Wireless Communications with Holographic MIMO Surfaces: A Convenient Channel Model and Spectral Efficiency Analysis
The multi-user Holographic Multiple-Input and Multiple-Output Surface (M...
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02/07/2022
Online Deep Neural Network for Optimization in Wireless Communications
Recently, deep neural network (DNN) has been widely adopted in the desig...
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02/07/2022
Deep Learning based Channel Estimation for Massive MIMO with Hybrid Transceivers
Accurate and efficient estimation of the high dimensional channels is on...
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02/07/2022
Semantic-aware Speech to Text Transmission with Redundancy Removal
Deep learning (DL) based semantic communication methods have been explor...
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12/28/2021
Unsourced Random Massive Access with Beam-Space Tree Decoding
The core requirement of massive Machine-Type Communication (mMTC) is to ...
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12/06/2021
Multi-User Holographic MIMO Surface: Channel Modeling and Spectral Efficiency Analysis
The multi-user Holographic Multiple-Input and Multiple-Output Surface (M...
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12/05/2021
Dynamic Token Normalization Improves Vision Transformer
Vision Transformer (ViT) and its variants (e.g., Swin, PVT) have achieve...
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11/16/2021
JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks
The main challenge to deploy deep neural network (DNN) over a mobile edg...
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10/05/2021
Communication-Efficient Federated Learning with Binary Neural Networks
Federated learning (FL) is a privacy-preserving machine learning setting...
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09/07/2021
Exploiting Simultaneous Low-Rank and Sparsity in Delay-Angular Domain for Millimeter-Wave/Terahertz Wideband Massive Access
Millimeter-wave (mmW)/Terahertz (THz) wideband communication employing a...
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08/21/2021
An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation
Channel estimation is one of the key issues in practical massive multipl...
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07/21/2021
Bidirectional Approximate Message Passing for RIS-Assisted Multi-User MISO Communications
Reconfigurable intelligent surfaces (RISs) have been recently considered...
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06/28/2021
Channel Estimation and Signal Recovery for RIS-empowered Communications
Reconfigurable intelligent surfaces (RISs) have been recently considered...
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05/13/2021
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
This work presents a probabilistic channel pruning method to accelerate ...
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03/01/2021
Angle-Domain Intelligent Reflecting Surface Systems: Design and Analysis
This paper considers an angle-domain intelligent reflecting surface (IRS...
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02/15/2021
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation
Learning convolutional neural networks (CNNs) with low bitwidth is chall...
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01/22/2021
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
Wireless communication in the TeraHertz band (0.1–10 THz) is envisioned ...
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12/25/2020
Feature-Aided Adaptive-Tuning Deep Learning for Massive Device Detection
With the increasing development of Internet of Things (IoT), the upcomin...
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11/26/2020