b'Li Xiao'

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Featured Co-authors

Hao Chen
339 publications
Jun Li
229 publications
Ting Liu
188 publications
Bin Liu
139 publications
Yang Chen
117 publications
Ke Wang
107 publications
Kun Zhang
106 publications
S. Kevin Zhou
90 publications
Wanxiang Che
84 publications
Fuzhen Zhuang
63 publications
Yiming Cui
56 publications

research

∙ 09/13/2023

MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems

Speaker Verification (SV) is widely deployed in mobile systems to authen...

0 Hanqing Guo, et al. ∙

research

∙ 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...

0 Hanqing Guo, et al. ∙

research

∙ 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...

0 Li Xiao, et al. ∙

research

∙ 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 ...

0 Youqiang Zheng, et al. ∙

research

∙ 10/27/2022

FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion

Voice conversion (VC) can be achieved by first extracting source content...

0 Jingyi Li, et al. ∙

research

∙ 07/12/2022

NEC: Speaker Selective Cancellation via Neural Enhanced Ultrasound Shadowing

In this paper, we propose NEC (Neural Enhanced Cancellation), a defense ...

0 Hanqing Guo, et al. ∙

research

∙ 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...

0 Hanqing Guo, et al. ∙

research

∙ 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 ...

0 Mingyang Liu, et al. ∙

research

∙ 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-...

0 Yao Yao, et al. ∙

research

∙ 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...

0 Pengbo Liu, et al. ∙

research

∙ 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...

0 Yao Yao, et al. ∙

research

∙ 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...

0 Shuxin Yang, et al. ∙

research

∙ 12/30/2021

Knowledge Matters: Radiology Report Generation with General and Specific Knowledge

Automatic radiology report generation is critical in clinics which can r...

0 Shuxin Yang, et al. ∙

research

∙ 07/06/2021

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control

Agriculture is the foundation of human civilization. However, the rapid ...

1 Xiaoyan Cao, et al. ∙

research

∙ 07/05/2021

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation

Model-based deep reinforcement learning has achieved success in various ...

0 Yao Yao, et al. ∙

research

∙ 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...

0 Hao Chen, et al. ∙

research

∙ 03/08/2021

You Only Learn Once: Universal Anatomical Landmark Detection

Detecting anatomical landmarks in medical images plays an essential role...

0 Heqin Zhu, et al. ∙

research

∙ 03/08/2021

One-Shot Medical Landmark Detection

The success of deep learning methods relies on the availability of a lar...

0 Qingsong Yao, et al. ∙

research

∙ 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...

0 Pengbo Liu, et al. ∙

research

∙ 02/06/2021

Noise Optimization for Artificial Neural Networks

Adding noises to artificial neural network(ANN) has been shown to be abl...

0 Li Xiao, et al. ∙

research

∙ 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 ...

14 Gang Qu, et al. ∙

research

∙ 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...

31 Pengbo Liu, et al. ∙

research

∙ 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...

11 Li Xiao, et al. ∙

research

∙ 09/08/2020

Label-Free Segmentation of COVID-19 Lesions in Lung CT

Scarcity of annotated images hampers the building of automated solution ...

18 Qingsong Yao, et al. ∙

research

∙ 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...

16 Gonglei Shi, et al. ∙

research

∙ 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...

6 Chunlong Luo, et al. ∙

research

∙ 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...

0 Aiying Zhang, et al. ∙

research

∙ 03/10/2020

PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy

Many recently developed object detectors focused on coarse-to-fine frame...

8 Li Xiao, et al. ∙

research

∙ 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...

10 Li Xiao, et al. ∙

research

∙ 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...

0 Li Xiao, et al. ∙

research

∙ 01/22/2020

Causality based Feature Fusion for Brain Neuro-Developmental Analysis

Human brain development is a complex and dynamic process that is affecte...

12 Peyman Hosseinzadeh Kassani, et al. ∙

research

∙ 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...

0 Xu Hanchen, et al. ∙

research

∙ 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...

0 Li Xiao, et al. ∙

research

∙ 10/17/2018

A Span-Extraction Dataset for Chinese Machine Reading Comprehension

Machine Reading Comprehension (MRC) has become enormously popular recent...

0 Yiming Cui, et al. ∙

research

∙ 10/01/2016

Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity

In this paper, with respect to multichannel synthetic aperture radars (S...

0 Jia Xu, et al. ∙

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