research
∙
09/18/2023
HumTrans: A Novel Open-Source Dataset for Humming Melody Transcription and Beyond
This paper introduces the HumTrans dataset, which is publicly available ...
share
research
∙
09/01/2023
Enhancing the vocal range of single-speaker singing voice synthesis with melody-unsupervised pre-training
The single-speaker singing voice synthesis (SVS) usually underperforms a...
research
∙
08/21/2023
AI-Assisted Slicing-Based Resource Management for Two-Tier Radio Access Networks
While network slicing has become a prevalent approach to service differe...
research
∙
01/10/2023
Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms
Bacterial cells are sensitive to a range of external signals used to lea...
research
∙
12/21/2022
Inf-sup stabilized Scott-Vogelius pairs on general simplicial grids for Navier-Stokes equations
This paper considers the discretization of the time-dependent Navier-Sto...
research
∙
12/06/2022
Covariance Regularization for Probabilistic Linear Discriminant Analysis
Probabilistic linear discriminant analysis (PLDA) is commonly used in sp...
research
∙
10/23/2022
Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separation
Single channel target speaker separation (TSS) aims at extracting a spea...
research
∙
09/09/2022
DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging
Susceptibility tensor imaging (STI) is an emerging magnetic resonance im...
research
∙
06/28/2022
A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion
Typically, singing voice conversion (SVC) depends on an embedding vector...
research
∙
06/23/2022
CGAR: Critic Guided Action Redistribution in Reinforcement Leaning
Training a game-playing reinforcement learning agent requires multiple i...
research
∙
06/02/2022
Inf-sup stabilized Scott–Vogelius pairs on general simplicial grids by Raviart–Thomas enrichment
This paper considers the discretization of the Stokes equations with Sco...
research
∙
04/18/2022
Split Learning over Wireless Networks: Parallel Design and Resource Management
Split learning (SL) is a collaborative learning framework, which can tra...
research
∙
03/29/2022
Spoofing-Aware Speaker Verification by Multi-Level Fusion
Recently, many novel techniques have been introduced to deal with spoofi...
research
∙
03/11/2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling
Graph Convolutional Networks (GCNs) achieve great success in non-Euclide...
research
∙
12/10/2021
Decentralized Spectrum Access System: Vision, Challenges, and a Blockchain Solution
Spectrum access system (SAS) is widely considered the de facto solution ...
research
∙
12/04/2021
Longer time simulation of the unsteady Navier-Stokes equations based on a modified convective formulation
For the discretization of the convective term in the Navier-Stokes equat...
research
∙
11/08/2021
Characterizing the adversarial vulnerability of speech self-supervised learning
A leaderboard named Speech processing Universal PERformance Benchmark (S...
research
∙
10/26/2021
Arbitrary Distribution Modeling with Censorship in Real-Time Bidding Advertising
The purpose of Inventory Pricing is to bid the right prices to online ad...
research
∙
08/18/2021
An EMA-balancing, pressure-robust and Re-semi-robust reconstruction method for unsteady incompressible Navier-Stokes equations
Proper EMA-balance (E: kinetic energy; M: momentum; A: angular momentum)...
research
∙
08/02/2021
S^2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
Recently, MLP-based vision backbones emerge. MLP-based vision architectu...
research
∙
07/19/2021
Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks
Existing approaches for anti-spoofing in automatic speaker verification ...
research
∙
07/07/2021
VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis
This paper describes a variational auto-encoder based non-autoregressive...
research
∙
06/28/2021
Rethinking Token-Mixing MLP for MLP-based Vision Backbone
In the past decade, we have witnessed rapid progress in the machine visi...
research
∙
06/14/2021
S^2-MLP: Spatial-Shift MLP Architecture for Vision
Recently, visual Transformer (ViT) and its following works abandon the c...
research
∙
06/01/2021
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning
Previous works have shown that automatic speaker verification (ASV) is s...
research
∙
03/17/2021
A New Modified Newton-Type Iteration Method for Solving Generalized Absolute Value Equations
For the large sparse generalized absolute value equations (GAVEs) , the ...
research
∙
02/14/2021
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models
Automatic speaker verification (ASV) is one of the core technologies in ...
research
∙
12/03/2020
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
In this paper, we investigate a radio access network (RAN) slicing probl...
research
∙
12/03/2020
A compact divergence-free H(div)-conforming finite element method for Stokes flows
In this paper, we construct a P_1^c⊕ RT0-P0 discretization of the Stokes...
research
∙
11/22/2020
MAC for Machine Type Communications in Industrial IoT – Part II: Scheduling and Numerical Results
In the second part of this paper, we develop a centralized packet transm...
research
∙
11/22/2020
MAC for Machine Type Communications in Industrial IoT – Part I: Protocol Design and Analysis
In this two-part paper, we propose a novel medium access control (MAC) p...
research
∙
10/28/2020
Replay and Synthetic Speech Detection with Res2net Architecture
Existing approaches for replay and synthetic speech detection still lack...
research
∙
09/22/2020
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers
Graph neural networks (GNNs) have achieved high performance in analyzing...
research
∙
08/11/2020
Learned Proximal Networks for Quantitative Susceptibility Mapping
Quantitative Susceptibility Mapping (QSM) estimates tissue magnetic susc...
research
∙
07/09/2020
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
With the increasing popularity of graph-based learning, Graph Neural Net...
research
∙
06/11/2020
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification
Recently adversarial attacks on automatic speaker verification (ASV) sys...
research
∙
04/08/2020
Bayesian x-vector: Bayesian Neural Network based x-vector System for Speaker Verification
Speaker verification systems usually suffer from the mismatch problem be...
research
∙
03/20/2020
Detection and skeletonization of single neurons and tracer injections using topological methods
Neuroscientific data analysis has traditionally relied on linear algebra...
research
∙
03/18/2020
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
Effective and Efficient spatio-temporal modeling is essential for action...
research
∙
03/12/2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Training generative models that can generate high-quality text with suff...
research
∙
02/09/2020
A Virtual Network Customization Framework for Multicast Services in NFV-enabled Core Networks
The paradigm of network function virtualization (NFV) with the support o...
research
∙
02/01/2020
Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speech
Second language (L2) speech is often labeled with the native, phone cate...
research
∙
01/03/2020
FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides
Multi-focus image fusion technologies compress different focus depth ima...
research
∙
11/08/2019
Adversarial Attacks on GMM i-vector based Speaker Verification Systems
This work investigates the vulnerability of Gaussian Mix-ture Model (GMM...
research
∙
04/29/2019
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
In this paper, we consider the problem of open information extraction (O...
research
∙
04/08/2019
Delay-Aware Flow Migration for Embedded Services in 5G Core Networks
Service-oriented virtual network deployment is based on statistical reso...
research
∙
02/22/2019
An SDN-Based Transmission Protocol with In-Path Packet Caching and Retransmission
In this paper, a comprehensive software-defined networking (SDN) based t...
research
∙
01/11/2019
Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint
In this paper, a multi-scale framework with local region based active co...
research
∙
11/29/2018
Global optimization of expensive black-box models based on asynchronous hybrid-criterion with interval reduction
In this paper, a new sequential surrogate-based optimization (SSBO) algo...
research
∙
05/14/2018