research
∙
09/17/2023
Energy stable neural network for gradient flow equations
In this paper, we propose an energy stable network (EStable-Net) for sol...
share
research
∙
08/20/2023
Large Transformers are Better EEG Learners
Pre-trained large transformer models have achieved remarkable performanc...
research
∙
08/16/2023
GAEI-UNet: Global Attention and Elastic Interaction U-Net for Vessel Image Segmentation
Vessel image segmentation plays a pivotal role in medical diagnostics, a...
research
∙
08/11/2023
Large-Scale Learning on Overlapped Speech Detection: New Benchmark and New General System
Overlapped Speech Detection (OSD) is an important part of speech applica...
research
∙
08/04/2023
Model Provenance via Model DNA
Understanding the life cycle of the machine learning (ML) model is an in...
research
∙
07/25/2023
A threshold dislocation dynamics method
The Merriman-Bence-Osher threshold dynamics method is an efficient algor...
research
∙
07/04/2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow
In this paper, we investigate the training process of generative network...
research
∙
05/22/2023
The "code” of Ethics:A Holistic Audit of AI Code Generators
AI-powered programming language generation (PLG) models have gained incr...
research
∙
05/15/2023
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
This paper addresses the problem of nearly optimal Vapnik–Chervonenkis d...
research
∙
04/21/2023
Score-based Transport Modeling for Mean-Field Fokker-Planck Equations
We use the score-based transport modeling method to solve the mean-field...
research
∙
03/30/2023
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection
Despite the fact that DeepFake forgery detection algorithms have achieve...
research
∙
03/19/2023
Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space
In this paper, we propose a novel approach to generative modeling using ...
research
∙
03/06/2023
Differentially Private Confidence Interval for Extrema of Parameters
This paper aims to construct a valid and efficient confidence interval f...
research
∙
12/11/2022
DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting
Deep neural networks (DNNs) recently emerged as a promising tool for ana...
research
∙
11/30/2022
An Efficient Split Fine-tuning Framework for Edge and Cloud Collaborative Learning
To enable the pre-trained models to be fine-tuned with local data on edg...
research
∙
11/16/2022
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training
This paper focuses on leveraging deep representation learning (DRL) for ...
research
∙
10/27/2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Based on the Denoising Diffusion Probabilistic Model (DDPM), medical ima...
research
∙
10/25/2022
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
Multi-modal neuroimaging technology has greatlly facilitated the efficie...
research
∙
10/21/2022
Optimal Contextual Bandits with Knapsacks under Realizibility via Regression Oracles
We study the stochastic contextual bandit with knapsacks (CBwK) problem,...
research
∙
10/07/2022
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression
Neural-network-based approaches recently emerged in the field of data co...
research
∙
09/19/2022
Estimating Brain Age with Global and Local Dependencies
The brain age has been proven to be a phenotype of relevance to cognitiv...
research
∙
07/10/2022
Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication
Recently, physiological signal-based biometric systems have received wid...
research
∙
05/28/2022
Approximation of Functionals by Neural Network without Curse of Dimensionality
In this paper, we establish a neural network to approximate functionals,...
research
∙
05/19/2022
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
The ever-growing model size and scale of compute have attracted increasi...
research
∙
05/11/2022
A deep representation learning speech enhancement method using β-VAE
In previous work, we proposed a variational autoencoder-based (VAE) Baye...
research
∙
03/02/2022
Video is All You Need: Attacking PPG-based Biometric Authentication
Unobservable physiological signals enhance biometric authentication syst...
research
∙
02/11/2022
FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation
Automatic Speech Recognition services (ASRs) inherit deep neural network...
research
∙
01/27/2022
SoK: An Overview of PPG's Application in Authentication
Biometric authentication prospered during the 2010s. Vulnerability to sp...
research
∙
01/24/2022
A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoder
Recently, variational autoencoder (VAE), a deep representation learning ...
research
∙
01/09/2022
A Retrospective and Futurespective of Rowhammer Attacks and Defenses on DRAM
Rowhammer has drawn much attention from both academia and industry in th...
research
∙
12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
research
∙
11/16/2021
NatiDroid: Cross-Language Android Permission Specification
The Android system manages access to sensitive APIs by permission enforc...
research
∙
11/09/2021
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
Background: Electronic Health Records (EHRs) contain rich information of...
research
∙
06/05/2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
Pruning is a model compression method that removes redundant parameters ...
research
∙
05/13/2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Deep Neural Network (DNN), one of the most powerful machine learning alg...
research
∙
05/12/2021
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference
The proliferation of Internet of Things (IoT) devices has made people's ...
research
∙
03/17/2021
Convergence from Atomistic Model to Peierls-Nabarro Model for Dislocations in Bilayer System with Complex Lattice
In this paper, we prove the convergence from the atomistic model to the ...
research
∙
02/16/2021
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey
Stealing attack against controlled information, along with the increasin...
research
∙
10/23/2020
DeFuzz: Deep Learning Guided Directed Fuzzing
Fuzzing is one of the most effective technique to identify potential sof...
research
∙
08/11/2020
Security Analysis on Tangle-based Blockchain through Simulation
The Tangle-based structure becomes one of the most promising solutions w...
research
∙
07/06/2020
An Elastic Interaction-Based Loss Function for Medical Image Segmentation
Deep learning techniques have shown their success in medical image segme...
research
∙
06/30/2020
A Speech Enhancement Algorithm based on Non-negative Hidden Markov Model and Kullback-Leibler Divergence
In this paper, we propose a novel supervised single-channel speech enhan...
research
∙
06/26/2020
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity
Computer users are generally faced with difficulties in making correct s...
research
∙
06/23/2020
SIAT: A Systematic Inter-Component Communication Analysis Technology for Detecting Threats on Android
In this paper, we present the design and implementation of a Systematic ...
research
∙
05/22/2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Deep learning (DL) based predictive models from electronic health record...
research
∙
04/14/2020
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
Chinese word segmentation is necessary to provide word-level information...
research
∙
12/31/2019
A New Formulation of Coupling and Sliding Motions of Grain Boundaries Based on Dislocation Structure
A continuum model of the two dimensional low angle grain boundary motion...
research
∙
12/31/2019
A New Formulation of Coupling and Sliding Motions of Grian Boundaries Based on Dislocation Structure
A continuum model of the two dimensional low angle grain boundary motion...
research
∙
11/04/2019
A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification
Biomedical data are widely accepted in developing prediction models for ...
research
∙
10/14/2019
