b'Lin Li'

research

∙ 09/20/2023

Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion

Federated Learning (FL) is currently one of the most popular technologie...

0 Thanveer Shaik, et al. ∙

research

∙ 09/20/2023

AI-Driven Patient Monitoring with Multi-Agent Deep Reinforcement Learning

Effective patient monitoring is vital for timely interventions and impro...

0 Thanveer Shaik, et al. ∙

research

∙ 09/19/2023

PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring

Reinforcement learning has been increasingly applied in monitoring appli...

0 Thanveer Shaik, et al. ∙

research

∙ 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...

0 Thanveer Shaik, et al. ∙

research

∙ 09/19/2023

FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning

Machine Unlearning is an emerging field that addresses data privacy issu...

0 Thanveer Shaik, et al. ∙

research

∙ 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...

0 Thanveer Shaik, et al. ∙

research

∙ 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...

0 Tianyu Chen, et al. ∙

research

∙ 07/17/2023

Identifying Vulnerable Third-Party Libraries from Textual Descriptions of Vulnerabilities and Libraries

To address security vulnerabilities arising from third-party libraries, ...

0 Tianyu Chen, et al. ∙

research

∙ 07/10/2023

Towards Runtime Customizable Trusted Execution Environment on FPGA-SoC

Processing sensitive data and deploying well-designed Intellectual Prope...

0 Yanling Wang, et al. ∙

research

∙ 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...

0 Yijie Deng, et al. ∙

research

∙ 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 ...

0 Thanveer Shaik, et al. ∙

research

∙ 06/12/2023

AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation

Deep neural networks are vulnerable to adversarial examples. Adversarial...

0 Lin Li, et al. ∙

research

∙ 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...

0 Wenhao Guan, et al. ∙

research

∙ 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 ...

0 Jianhua Wang, et al. ∙

research

∙ 05/12/2023

Machine-learning-accelerated simulations enable heuristic-free surface reconstruction

Understanding material surfaces and interfaces is vital in applications ...

0 Xiaochen Du, et al. ∙

research

∙ 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 ...

0 Thanveer Shaik, et al. ∙

research

∙ 03/24/2023

Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing

Deep neural networks can be easily fooled into making incorrect predicti...

0 Lin Li, et al. ∙

research

∙ 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...

0 Jianing Qiu, et al. ∙

research

∙ 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...

0 Riyan Yang, et al. ∙

research

∙ 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...

0 Chencan Fu, et al. ∙

research

∙ 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...

0 Haocheng Ju, et al. ∙

research

∙ 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...

0 Lin Li, et al. ∙

research

∙ 02/11/2023

An Efficient Spectral Trust-Region Deflation Method for Multiple Solutions

It is quite common that a nonlinear partial differential equation (PDE) ...

0 Lin Li, et al. ∙

research

∙ 01/24/2023

Data Augmentation Alone Can Improve Adversarial Training

Adversarial training suffers from the issue of robust overfitting, which...

0 Lin Li, et al. ∙

research

∙ 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...

0 Thanveer Shaik, et al. ∙

research

∙ 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...

0 Lin Li, et al. ∙

research

∙ 11/24/2022

Graph Contrastive Learning for Materials

Recent work has shown the potential of graph neural networks to efficien...

0 Teddy Koker, et al. ∙

research

∙ 11/22/2022

OR-Gate: A Noisy Label Filtering Method for Speaker Verification

The deep learning models used for speaker verification are heavily depen...

0 Zhihua Fang, et al. ∙

research

∙ 11/14/2022

Towards A Unified Conformer Structure: from ASR to ASV Task

Transformer has achieved extraordinary performance in Natural Language P...

0 Dexin Liao, et al. ∙

research

∙ 10/05/2022

Antibody Representation Learning for Drug Discovery

Therapeutic antibody development has become an increasingly popular appr...

0 Lin Li, et al. ∙

research

∙ 09/24/2022

Spatial-aware Speaker Diarization for Multi-channel Multi-party Meeting

This paper describes a spatial-aware speaker diarization system for the ...

0 Jie Wang, et al. ∙

research

∙ 07/27/2022

NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation

Nearly all existing scene graph generation (SGG) models have overlooked ...

2 Lin Li, et al. ∙

research

∙ 07/14/2022

Learning to Prove Trigonometric Identities

Automatic theorem proving with deep learning methods has attracted atten...

0 Zhou Liu, et al. ∙

research

∙ 07/10/2022

Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication

Recently, physiological signal-based biometric systems have received wid...

10 Lin Li, et al. ∙

research

∙ 07/03/2022

Trichomonas Vaginalis Segmentation in Microscope Images

Trichomoniasis is a common infectious disease with high incidence caused...

0 Lin Li, et al. ∙

research

∙ 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...

0 Lin Li, et al. ∙

research

∙ 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...

0 Charles K. Chui, et al. ∙

research

∙ 05/24/2022

MealRec: A Meal Recommendation Dataset

Bundle recommendation systems aim to recommend a bundle of items for a u...

0 Ming Li, et al. ∙

research

∙ 04/25/2022

Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data

Unsupervised clustering on speakers is becoming increasingly important f...

0 Fuchuan Tong, et al. ∙

research

∙ 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...

0 Aiping Jiang, et al. ∙

research

∙ 03/02/2022

Video is All You Need: Attacking PPG-based Biometric Authentication

Unobservable physiological signals enhance biometric authentication syst...

0 Lin Li, et al. ∙

research

∙ 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...

0 Jianhao Ye, et al. ∙

research

∙ 02/14/2022

What is Next when Sequential Prediction Meets Implicitly Hard Interaction?

Hard interaction learning between source sequences and their next target...

0 Kaixi Hu, et al. ∙

research

∙ 01/27/2022

SoK: An Overview of PPG's Application in Authentication

Biometric authentication prospered during the 2010s. Vulnerability to sp...

0 Lin Li, et al. ∙

research

∙ 01/19/2022

Dual Space Graph Contrastive Learning

Unsupervised graph representation learning has emerged as a powerful too...

26 Haoran Yang, et al. ∙

research

∙ 12/06/2021

Scalable Geometric Deep Learning on Molecular Graphs

Deep learning in molecular and materials sciences is limited by the lack...

3 Nathan C. Frey, et al. ∙

research

∙ 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...

0 Ru-Han Chen, et al. ∙

research

∙ 11/24/2021

Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation

Recent advances in path-based explainable recommendation systems have at...

5 Yicong Li, et al. ∙

research

∙ 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...

10 Zhongwei Xie, et al. ∙

research

∙ 10/16/2021

Visual-aware Attention Dual-stream Decoder for Video Captioning

Video captioning is a challenging task that captures different visual pa...

0 Zhixin Sun, et al. ∙

Lin Li

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