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09/13/2023
MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems
Speaker Verification (SV) is widely deployed in mobile systems to authen...
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09/13/2023
PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via Split-Second Phoneme Injection
In this paper, we propose PhantomSound, a query-efficient black-box atta...
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07/25/2023
A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis
Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a chronic breathing...
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07/25/2023
CQNV: A combination of coarsely quantized bitstream and neural vocoder for low rate speech coding
Recently, speech codecs based on neural networks have proven to perform ...
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10/27/2022
FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion
Voice conversion (VC) can be achieved by first extracting source content...
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07/12/2022
NEC: Speaker Selective Cancellation via Neural Enhanced Ultrasound Shadowing
In this paper, we propose NEC (Neural Enhanced Cancellation), a defense ...
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05/28/2022
SuperVoice: Text-Independent Speaker Verification Using Ultrasound Energy in Human Speech
Voice-activated systems are integrated into a variety of desktop, mobile...
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04/06/2022
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation
The spread of the novel coronavirus disease 2019 (COVID-19) has claimed ...
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04/01/2022
i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems
Input features play a crucial role in the predictive performance of DNN-...
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03/04/2022
Learning Incrementally to Segment Multiple Organs in a CT Image
There exists a large number of datasets for organ segmentation, which ar...
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02/17/2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
It is well known that the success of deep neural networks is greatly att...
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12/30/2021
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment
In clinics, a radiology report is crucial for guiding a patient's treatm...
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12/30/2021
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge
Automatic radiology report generation is critical in clinics which can r...
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07/06/2021
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
Agriculture is the foundation of human civilization. However, the rapid ...
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07/05/2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation
Model-based deep reinforcement learning has achieved success in various ...
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06/16/2021
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
Recently, Graph Convolutional Networks (GCNs) have proven to be a powerf...
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03/08/2021
You Only Learn Once: Universal Anatomical Landmark Detection
Detecting anatomical landmarks in medical images plays an essential role...
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03/08/2021
One-Shot Medical Landmark Detection
The success of deep learning methods relies on the availability of a lar...
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03/08/2021
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets
There exists a large number of datasets for organ segmentation, which ar...
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02/06/2021
Noise Optimization for Artificial Neural Networks
Adding noises to artificial neural network(ANN) has been shown to be abl...
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01/20/2021
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
Objective: Multi-modal functional magnetic resonance imaging (fMRI) can ...
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12/16/2020
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
Purpose: Pelvic bone segmentation in CT has always been an essential ste...
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09/30/2020
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
Resting-state functional magnetic resonance imaging (rs-fMRI)-derived fu...
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09/08/2020
Label-Free Segmentation of COVID-19 Lesions in Lung CT
Scarcity of annotated images hampers the building of automated solution ...
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07/08/2020
Marginal loss and exclusion loss for partially supervised multi-organ segmentation
Annotating multiple organs in medical images is both costly and time-con...
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06/28/2020
DeepACC:Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge
Chromosome classification is an important but difficult and tedious task...
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06/16/2020
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)
Functional connectivity (FC) has become a primary means of understanding...
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03/10/2020
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy
Many recently developed object detectors focused on coarse-to-fine frame...
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03/01/2020
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
Deep learning object detection algorithm has been widely used in medical...
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01/31/2020
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT)
The robust Chinese remainder theorem (CRT) has been recently proposed fo...
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01/22/2020
Causality based Feature Fusion for Brain Neuro-Developmental Analysis
Human brain development is a complex and dynamic process that is affecte...
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04/28/2019
Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning
In this letter, we address the problem of controlling energy storage sys...
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01/31/2019
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness
Recent work in deep learning has shown that the artificial neural networ...
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10/17/2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
Machine Reading Comprehension (MRC) has become enormously popular recent...
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10/01/2016