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09/20/2023
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
Federated Learning (FL) is currently one of the most popular technologie...
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09/20/2023
AI-Driven Patient Monitoring with Multi-Agent Deep Reinforcement Learning
Effective patient monitoring is vital for timely interventions and impro...
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09/19/2023
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring
Reinforcement learning has been increasingly applied in monitoring appli...
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09/19/2023
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems
Artificial Intelligence techniques can be used to classify a patient's p...
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09/19/2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
Machine Unlearning is an emerging field that addresses data privacy issu...
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09/18/2023
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence
Reinforcement learning is well known for its ability to model sequential...
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08/09/2023
VulLibGen: Identifying Vulnerable Third-Party Libraries via Generative Pre-Trained Model
To avoid potential risks posed by vulnerabilities in third-party librari...
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07/17/2023
Identifying Vulnerable Third-Party Libraries from Textual Descriptions of Vulnerabilities and Libraries
To address security vulnerabilities arising from third-party libraries, ...
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07/10/2023
Towards Runtime Customizable Trusted Execution Environment on FPGA-SoC
Processing sensitive data and deploying well-designed Intellectual Prope...
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07/06/2023
EffLiFe: Efficient Light Field Generation via Hierarchical Sparse Gradient Descent
With the rise of Extended Reality (XR) technology, there is a growing ne...
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06/21/2023
Multimodality Fusion for Smart Healthcare: a Journey from Data, Information, Knowledge to Wisdom
Multimodal medical data fusion has emerged as a transformative approach ...
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06/12/2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation
Deep neural networks are vulnerable to adversarial examples. Adversarial...
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06/07/2023
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge
With the demand for autonomous control and personalized speech generatio...
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06/01/2023
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning
Federated Learning (FL), a privacy-oriented distributed ML paradigm, is ...
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05/12/2023
Machine-learning-accelerated simulations enable heuristic-free surface reconstruction
Understanding material surfaces and interfaces is vital in applications ...
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05/10/2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
Machine unlearning (MU) is gaining increasing attention due to the need ...
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03/24/2023
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing
Deep neural networks can be easily fooled into making incorrect predicti...
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03/21/2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Large AI models, or foundation models, are models recently emerging with...
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03/20/2023
The Human-Centric Metaverse: A Survey
In the era of the Web of Things, the Metaverse is expected to be the lan...
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03/13/2023
OverlapNetVLAD: A Coarse-to-Fine Framework for LiDAR-based Place Recognition
Place recognition is a challenging yet crucial task in robotics. Existin...
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03/07/2023
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection
Joint channel estimation and signal detection (JCESD) is crucial in wire...
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02/28/2023
A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Pairwise point cloud registration is a critical task for many applicatio...
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02/11/2023
An Efficient Spectral Trust-Region Deflation Method for Multiple Solutions
It is quite common that a nonlinear partial differential equation (PDE) ...
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01/24/2023
Data Augmentation Alone Can Improve Adversarial Training
Adversarial training suffers from the issue of robust overfitting, which...
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01/19/2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
The adoption of artificial intelligence (AI) in healthcare is growing ra...
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12/09/2022
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization
Adversarial training is widely used to improve the robustness of deep ne...
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11/24/2022
Graph Contrastive Learning for Materials
Recent work has shown the potential of graph neural networks to efficien...
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11/22/2022
OR-Gate: A Noisy Label Filtering Method for Speaker Verification
The deep learning models used for speaker verification are heavily depen...
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11/14/2022
Towards A Unified Conformer Structure: from ASR to ASV Task
Transformer has achieved extraordinary performance in Natural Language P...
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10/05/2022
Antibody Representation Learning for Drug Discovery
Therapeutic antibody development has become an increasingly popular appr...
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09/24/2022
Spatial-aware Speaker Diarization for Multi-channel Multi-party Meeting
This paper describes a spatial-aware speaker diarization system for the ...
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07/27/2022
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation
Nearly all existing scene graph generation (SGG) models have overlooked ...
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07/14/2022
Learning to Prove Trigonometric Identities
Automatic theorem proving with deep learning methods has attracted atten...
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07/10/2022
Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication
Recently, physiological signal-based biometric systems have received wid...
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07/03/2022
Trichomonas Vaginalis Segmentation in Microscope Images
Trichomoniasis is a common infectious disease with high incidence caused...
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06/17/2022
Towards Real-Time Visual Tracking with Graded Color-names Features
MeanShift algorithm has been widely used in tracking tasks because of it...
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05/26/2022
Analysis of a Direct Separation Method Based on Adaptive Chirplet Transform for Signals with Crossover Instantaneous Frequencies
In many applications, it is necessary to retrieve the sub-signal buildin...
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05/24/2022
MealRec: A Meal Recommendation Dataset
Bundle recommendation systems aim to recommend a bundle of items for a u...
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04/25/2022
Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data
Unsupervised clustering on speakers is becoming increasingly important f...
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04/12/2022
The Effects of Dynamic Learning and the Forgetting Process on an Optimizing Modelling for Full-Service Repair Pricing Contracts for Medical Devices
In order to improve the profitability and customer service management of...
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03/02/2022
Video is All You Need: Attacking PPG-based Biometric Authentication
Unobservable physiological signals enhance biometric authentication syst...
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02/22/2022
Improving Cross-lingual Speech Synthesis with Triplet Training Scheme
Recent advances in cross-lingual text-to-speech (TTS) made it possible t...
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02/14/2022
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
Hard interaction learning between source sequences and their next target...
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01/27/2022
SoK: An Overview of PPG's Application in Authentication
Biometric authentication prospered during the 2010s. Vulnerability to sp...
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01/19/2022
Dual Space Graph Contrastive Learning
Unsupervised graph representation learning has emerged as a powerful too...
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12/06/2021
Scalable Geometric Deep Learning on Molecular Graphs
Deep learning in molecular and materials sciences is limited by the lack...
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12/04/2021
Capacity Results for MIMO Optical Wireless Communication With Per-Antenna Intensity Constraints
In this paper, we investigate capacities of two types of the multiple-in...
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11/24/2021
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Recent advances in path-based explainable recommendation systems have at...
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10/22/2021
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
This paper introduces a two-phase deep feature engineering framework for...
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10/16/2021