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09/05/2023
SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection
Synthetic datasets, recognized for their cost effectiveness, play a pivo...
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06/27/2023
Model Checking ofWorkflow Nets with Tables and Constraints
Many operations in workflow systems are dependent on database tables. Th...
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06/26/2023
Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image
Deep learning-based super-resolution models have the potential to revolu...
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02/28/2023
GNOT: A General Neural Operator Transformer for Operator Learning
Learning partial differential equations' (PDEs) solution operators is an...
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02/13/2023
On the Doppler Squint Effect in OTFS Systems over Doubly-Dispersive Channels: Modeling and Evaluation
Extensive work has demonstrated the excellent performance of orthogonal ...
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01/27/2023
Chirp-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO
XL-MIMO promises to provide ultrahigh data rates in Terahertz (THz) spec...
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01/06/2023
Deep learning for full-field ultrasonic characterization
This study takes advantage of recent advances in machine learning to est...
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12/14/2022
Age of Information Optimization in Multi-Channel Network with Sided Information
We consider a discrete-time multi-channel network where the destination ...
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11/25/2022
Enhanced Tracking and Beamforming Codebook Design for Wideband Terahertz Massive MIMO System
True-time-delay (TTD) lines are recently applied inside Terahertz (THz) ...
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10/16/2022
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion
Transformer-based pre-trained models like BERT have achieved great progr...
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10/07/2022
DABERT: Dual Attention Enhanced BERT for Semantic Matching
Transformer-based pre-trained language models such as BERT have achieved...
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10/07/2022
Hierarchical Codebook-based Beam Training for Extremely Large-Scale Massive MIMO
Extremely large-scale multiple-input multiple-output (XL-MIMO) promises ...
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09/15/2022
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Deep learning based approaches like Physics-informed neural networks (PI...
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09/15/2022
Time- vs. frequency- domain inverse elastic scattering: Theory and experiment
This study formally adapts the time-domain linear sampling method (TLSM)...
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06/09/2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Certified defenses such as randomized smoothing have shown promise towar...
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01/03/2022
Optimization on Multi-User Physical Layer Security of Intelligent Reflecting Surface-Aided VLC
This letter investigates physical layer security in intelligent reflecti...
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12/20/2021
Sending Timely Status Updates through Channel with Random Delay via Online Learning
In this work, we study a status update system with a source node sending...
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11/26/2021
Simple Contrastive Representation Adversarial Learning for NLP Tasks
Self-supervised learning approach like contrastive learning is attached ...
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08/31/2021
Triple-Structured Compressive Sensing-based Channel Estimation for RIS-aided MU-MIMO Systems
Reconfigurable intelligent surface (RIS) has been recognized as a potent...
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08/22/2021
Joint Link Rate Selection and Channel State Change Detection in Block-Fading Channels
In this work, we consider the problem of transmission rate selection for...
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08/17/2021
GCCAD: Graph Contrastive Coding for Anomaly Detection
Graph-based anomaly detection has been widely used for detecting malicio...
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07/25/2021
An Internal Arc Fixation Channel and Automatic Planning Algorithm for Pelvic Fracture
Fixating fractured pelvis fragments with the sacroiliac screw is a commo...
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05/01/2021
Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System
Massive multiple-input multiple-output (MIMO) is one of the key techniqu...
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01/17/2021
Aggregated Network for Massive MIMO CSI Feedback
In frequency division duplexing (FDD) mode, it is necessary to send the ...
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11/05/2020
Binary Neural Network Aided CSI Feedback in Massive MIMO System
In massive multiple-input multiple-output (MIMO) system, channel state i...
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12/11/2019
Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks
This work is motivated by the need of collecting fresh data from power-c...
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10/31/2019
Multi-resolution CSI Feedback with deep learning in Massive MIMO System
In massive multiple-input multiple-output (MIMO) system, user equipment ...
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10/06/2019
Optimizing Data Freshness in Time-Varying Wireless Networks with Imperfect Channel State
We consider a scenario where a base station (BS) attempts to collect fre...
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08/04/2019
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints
In this paper, we study how to collect fresh data in time-varying networ...
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07/17/2019
Scheduling to Minimize Age of Synchronization in Wireless Broadcast Networks with Random Updates
In this work, a wireless broadcast network with a base station (BS) send...
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03/29/2019
Entropy flow and De Bruijn's identity for a class of stochastic differential equations driven by fractional Brownian motion
Motivated by the classical De Bruijn's identity for the additive Gaussia...
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02/26/2019
Towards Higher Spectral Efficiency: Spatial Path Index Modulation Improves Millimeter-Wave Hybrid Beamforming
The combination of millimeter wave (mmWave) multiple-input multiple-outp...
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07/16/2018
A High-Accuracy Adaptive Beam Training Algorithm for MmWave Communication
In millimeter wave communications, beam training is an effective way to ...
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11/26/2013
