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09/02/2023
DiCLET-TTS: Diffusion Model based Cross-lingual Emotion Transfer for Text-to-Speech – A Study between English and Mandarin
While the performance of cross-lingual TTS based on monolingual corpora ...
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08/25/2023
Gl-QFOM and Gl-QGMRES: two efficient algorithms for quaternion linear systems with multiple right-hand sides
In this paper, we propose the global quaternion full orthogonalization (...
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08/22/2023
Octopus: A Heterogeneous In-network Computing Accelerator Enabling Deep Learning for network
Deep learning (DL) for network models have achieved excellent performanc...
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07/19/2023
DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis
Limited labeled data makes it hard to train models from scratch in medic...
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06/12/2023
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience
End-to-end training with global optimization have popularized graph neur...
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06/11/2023
Generalizable Wireless Navigation through Physics-Informed Reinforcement Learning in Wireless Digital Twin
The growing focus on indoor robot navigation utilizing wireless signals ...
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06/07/2023
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge
With the demand for autonomous control and personalized speech generatio...
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05/24/2023
Learning Semantic Role Labeling from Compatible Label Sequences
This paper addresses the question of how to efficiently learn from disjo...
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04/17/2023
Designing Policies for Truth: Combating Misinformation with Transparency and Information Design
Misinformation has become a growing issue on online social platforms (OS...
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04/08/2023
Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Robust Navigation in Urban Canyons
Integrating Global Navigation Satellite Systems (GNSS) in Simultaneous L...
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04/07/2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks
Exploring the expected quantizing scheme with suitable mixed-precision p...
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04/03/2023
Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study
Intelligent Navigation Systems (INS) are exposed to an increasing number...
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03/31/2023
On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling
Transparency of information disclosure has always been considered an ins...
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03/20/2023
Random Inverse Problems Over Graphs: Decentralized Online Learning
We establish a framework of random inverse problems with real-time obser...
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03/14/2023
PIEKF-VIWO: Visual-Inertial-Wheel Odometry using Partial Invariant Extended Kalman Filter
Invariant Extended Kalman Filter (IEKF) has been successfully applied in...
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03/06/2023
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach
The increasing connectivity and intricate remote access environment have...
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03/01/2023
Multi-Arm Robot Task Planning for Fruit Harvesting Using Multi-Agent Reinforcement Learning
The emergence of harvesting robotics offers a promising solution to the ...
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02/23/2023
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective
Although fast adversarial training provides an efficient approach for bu...
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12/22/2022
Commitment with Signaling under Double-sided Information Asymmetry
Information asymmetry in games enables players with the information adva...
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11/28/2022
Cell Biomechanical Modeling Based on Membrane Theory with Considering Speed Effect of Microinjection
As an effective method to deliver external materials into biological cel...
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11/21/2022
Efficient Generalization Improvement Guided by Random Weight Perturbation
To fully uncover the great potential of deep neural networks (DNNs), var...
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11/19/2022
Multi-Speaker Expressive Speech Synthesis via Multiple Factors Decoupling
This paper aims to synthesize target speaker's speech with desired speak...
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10/14/2022
Decentralized Policy Gradient for Nash Equilibria Learning of General-sum Stochastic Games
We study Nash equilibria learning of a general-sum stochastic game with ...
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10/06/2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Powered by deep representation learning, reinforcement learning (RL) pro...
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07/29/2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis
Meta reinforcement learning (meta RL), as a combination of meta-learning...
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06/07/2022
Decentralized Online Regularized Learning Over Random Time-Varying Graphs
We study the decentralized online regularized linear regression algorith...
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05/31/2022
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation
Effectively integrating multi-scale information is of considerable signi...
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05/30/2022
Hilbert Curve Projection Distance for Distribution Comparison
Distribution comparison plays a central role in many machine learning ta...
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05/26/2022
Trainable Weight Averaging for Fast Convergence and Better Generalization
Stochastic gradient descent (SGD) and its variants are commonly consider...
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05/25/2022
Secure and Efficient Tunneling of MACsec for Modern Industrial Use Cases
Trends like Industry 4.0 will pose new challenges for future industrial ...
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05/20/2022
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion
Measuring the perceptual quality of images automatically is an essential...
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03/05/2022
Tightly Coupled Optimization-based GPS-Visual-Inertial Odometry with Online Calibration and Initialization
In this paper, we present a tightly coupled optimization-based GPS-Visua...
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12/19/2021
M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robots
We introduce M2DGR: a novel large-scale dataset collected by a ground ro...
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11/24/2021
Subspace Adversarial Training
Single-step adversarial training (AT) has received wide attention as it ...
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09/28/2021
PSSPR: A Source Location Privacy Protection Scheme Based on Sector Phantom Routing in WSNs
Source location privacy (SLP) protection is an emerging research topic i...
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09/08/2021
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks
Quantization has been proven to be a vital method for improving the infe...
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05/27/2021
Individual Heterogeneity Learning in Distributional Data Response Additive Models
In many complex applications, data heterogeneity and homogeneity exist s...
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05/17/2021
The Confluence of Networks, Games and Learning
Recent years have witnessed significant advances in technologies and ser...
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05/04/2021
Modern Subsampling Methods for Large-Scale Least Squares Regression
Subsampling methods aim to select a subsample as a surrogate for the obs...
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04/12/2021
Optimizing the Whole-life Cost in End-to-end CNN Acceleration
The acceleration of CNNs has gained increasing atten-tion since their su...
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03/31/2021
DeepBlur: A Simple and Effective Method for Natural Image Obfuscation
There is a growing privacy concern due to the popularity of social media...
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03/20/2021
Train Deep Neural Networks in 40-D Subspaces
Although there are massive parameters in deep neural networks, the train...
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03/08/2021
Differentially Private Imaging via Latent Space Manipulation
There is growing concern about image privacy due to the popularity of so...
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02/18/2021
Strongly Connected Topology Model and Confirmation-based Propagation Method for Cross-chain Interaction
Cross-chain interaction is among different blockchains. When the number ...
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02/16/2021
A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection
In ophthalmology, early fundus screening is an economic and effective wa...
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01/25/2021
Applications of Deep Learning in Fundus Images: A Review
The use of fundus images for the early screening of eye diseases is of g...
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12/28/2020
Blackwell Online Learning for Markov Decision Processes
This work provides a novel interpretation of Markov Decision Processes (...
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12/04/2020
P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment
Light Detection and Ranging (LiDAR) based Simultaneous Localization and ...
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11/19/2020
Locally-Aware Constrained Games on Networks
Network games have been instrumental in understanding strategic behavior...
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11/17/2020
