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09/19/2023
Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation
Speaker diarization has gained considerable attention within speech proc...
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08/31/2023
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting
Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the...
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08/07/2023
Intelligence-Endogenous Management Platform for Computing and Network Convergence
Massive emerging applications are driving demand for the ubiquitous depl...
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08/04/2023
Model Provenance via Model DNA
Understanding the life cycle of the machine learning (ML) model is an in...
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07/05/2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Federated learning is a decentralized and privacy-preserving technique t...
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06/27/2023
3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglement
Disentangling uncorrelated information in speech utterances is a crucial...
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06/26/2023
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
Gaussian process regression (GPR) is a non-parametric model that has bee...
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05/22/2023
Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization
Speaker diarization(SD) is a classic task in speech processing and is cr...
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05/22/2023
An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification
Effective fusion of multi-scale features is crucial for improving speake...
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03/17/2023
VPU-EM: An Event-based Modeling Framework to Evaluate NPU Performance and Power Efficiency at Scale
State-of-art NPUs are typically architected as a self-contained sub-syst...
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03/01/2023
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking
Time delay neural network (TDNN) has been proven to be efficient for spe...
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02/26/2023
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search
Recent work proposed the UCTMAXSAT algorithm to address Maximum Satisfia...
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12/13/2022
Robust Split Federated Learning for U-shaped Medical Image Networks
U-shaped networks are widely used in various medical image tasks, such a...
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11/08/2022
Pushing the limits of self-supervised speaker verification using regularized distillation framework
Training robust speaker verification systems without speaker labels has ...
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09/08/2022
A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms
Robotic arms are widely used in automatic industries. However, with wide...
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06/23/2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible ...
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06/22/2022
Motion Gait: Gait Recognition via Motion Excitation
Gait recognition, which can realize long-distance and contactless identi...
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06/14/2022
Exploring evolution-based -free protein language models as protein function predictors
Large-scale Protein Language Models (PLMs) have improved performance in ...
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06/10/2022
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation
Relevant recommendation is a special recommendation scenario which provi...
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05/19/2022
Cross-Enhancement Transformer for Action Segmentation
Temporal convolutions have been the paradigm of choice in action segment...
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04/28/2022
Computational Approaches to Model X-ray Photon Correlation Spectroscopy from Molecular Dynamics
X-ray photon correlation spectroscopy (XPCS) allows for the resolution o...
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04/07/2022
Unsupervised Quantized Prosody Representation for Controllable Speech Synthesis
In this paper, we propose a novel prosody disentangle method for prosodi...
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04/02/2022
Graph-based Approximate NN Search: A Revisit
Nearest neighbor search plays a fundamental role in many disciplines suc...
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03/01/2022
DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement
Full-band speech enhancement based on deep neural networks is still chal...
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02/16/2022
DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement
The decoupling-style concept begins to ignite in the speech enhancement ...
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01/25/2022
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs
Power estimation is the basis of many hardware optimization strategies. ...
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11/04/2021
Energy-Efficient Online Data Sensing and Processing in Wireless Powered Edge Computing Systems
This paper focuses on developing energy-efficient online data processing...
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10/13/2021
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement
Curriculum learning begins to thrive in the speech enhancement area, whi...
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09/26/2021
Joint magnitude estimation and phase recovery using Cycle-in-Cycle GAN for non-parallel speech enhancement
For the lack of adequate paired noisy-clean speech corpus in many real s...
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09/05/2021
A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement
Cycle-consistent generative adversarial networks (CycleGAN) have shown t...
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07/28/2021
CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism
Non-parallel training is a difficult but essential task for DNN-based sp...
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06/28/2021
Progressive Class-based Expansion Learning For Image Classification
In this paper, we propose a novel image process scheme called class-base...
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06/27/2021
Online Cognitive Data Sensing and Processing Optimization in Energy-harvesting Edge Computing Systems
Mobile edge computing (MEC) has recently become a prevailing technique t...
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06/12/2021
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation
Due to the flexibility in modelling data heterogeneity, heterogeneous in...
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06/05/2021
A Deep Variational Bayesian Framework for Blind Image Deblurring
Blind image deblurring is an important yet very challenging problem in l...
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05/13/2021
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
AlphaZero has achieved impressive performance in deep reinforcement lear...
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05/01/2021
Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant
The advent of distributed energy resources (DERs), such as distributed r...
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04/14/2021
An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks
Mobile edge computing (MEC) is a promising paradigm to accommodate the i...
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03/29/2021
Large-Scale Approximate k-NN Graph Construction on GPU
k-nearest neighbor graph is a key data structure in many disciplines suc...
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03/04/2021
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning
Unsupervised domain adaptation (UDA) typically carries out knowledge tra...
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02/05/2021
Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning
In this paper, we consider a multi-user mobile-edge computing (MEC) netw...
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01/31/2021
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning
Federated Learning (FL) is an emerging paradigm through which decentrali...
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12/29/2020
Joint Beamforming and Power Control for Throughput Maximization in IRS-assisted MISO WPCNs
Intelligent reflecting surface (IRS) is an emerging technology to enhanc...
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11/03/2020
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
In recent years, there are a large number of recommendation algorithms p...
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10/03/2020
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
Opportunistic computation offloading is an effective method to improve t...
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08/19/2020
Leveraging Historical Interaction Data for Improving Conversational Recommender System
Recently, conversational recommender system (CRS) has become an emerging...
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08/18/2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Recently, significant progress has been made in sequential recommendatio...
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08/04/2020
Memory Efficient Class-Incremental Learning for Image Classification
With the memory-resource-limited constraints, class-incremental learning...
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07/24/2020
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
As an important and challenging problem, multi-domain learning (MDL) typ...
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07/19/2020
