b'Tao Li'

research

∙ 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 ...

0 Tao Li, et al. ∙

research

∙ 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 (...

0 Tao Li, et al. ∙

research

∙ 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...

0 Dong Wen, et al. ∙

research

∙ 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...

0 Along He, et al. ∙

research

∙ 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...

5 Ao Liu, et al. ∙

research

∙ 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 ...

7 Mingsheng Yin, et al. ∙

research

∙ 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...

0 Wenhao Guan, et al. ∙

research

∙ 05/24/2023

Learning Semantic Role Labeling from Compatible Label Sequences

This paper addresses the question of how to efficiently learn from disjo...

0 Tao Li, et al. ∙

research

∙ 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...

0 Ya-Ting Yang, et al. ∙

research

∙ 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...

0 Jie Yin, et al. ∙

research

∙ 04/07/2023

AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks

Exploring the expected quantizing scheme with suitable mixed-precision p...

9 Cheng Gong, et al. ∙

research

∙ 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...

7 Yunian Pan, et al. ∙

research

∙ 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...

0 Tao Li, et al. ∙

research

∙ 03/20/2023

Random Inverse Problems Over Graphs: Decentralized Online Learning

We establish a framework of random inverse problems with real-time obser...

0 Tao Li, et al. ∙

research

∙ 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...

0 Tong Hua, et al. ∙

research

∙ 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...

0 Yunfei Ge, et al. ∙

research

∙ 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 ...

0 Tao Li, et al. ∙

research

∙ 02/23/2023

Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective

Although fast adversarial training provides an efficient approach for bu...

1 Zhengbao He, et al. ∙

research

∙ 12/22/2022

Commitment with Signaling under Double-sided Information Asymmetry

Information asymmetry in games enables players with the information adva...

1 Tao Li, et al. ∙

research

∙ 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...

0 Shengzheng Kang, et al. ∙

research

∙ 11/21/2022

Efficient Generalization Improvement Guided by Random Weight Perturbation

To fully uncover the great potential of deep neural networks (DNNs), var...

0 Tao Li, et al. ∙

research

∙ 11/19/2022

Multi-Speaker Expressive Speech Synthesis via Multiple Factors Decoupling

This paper aims to synthesize target speaker's speech with desired speak...

0 Xinfa Zhu, et al. ∙

research

∙ 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 ...

1 Yan Chen, et al. ∙

research

∙ 10/06/2022

Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation

Powered by deep representation learning, reinforcement learning (RL) pro...

0 Tao Li, et al. ∙

research

∙ 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...

7 Tao Li, et al. ∙

research

∙ 06/07/2022

Decentralized Online Regularized Learning Over Random Time-Varying Graphs

We study the decentralized online regularized linear regression algorith...

5 Xiwei Zhang, et al. ∙

research

∙ 05/31/2022

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation

Effectively integrating multi-scale information is of considerable signi...

14 Along He, et al. ∙

research

∙ 05/30/2022

Hilbert Curve Projection Distance for Distribution Comparison

Distribution comparison plays a central role in many machine learning ta...

9 Tao Li, et al. ∙

research

∙ 05/26/2022

Trainable Weight Averaging for Fast Convergence and Better Generalization

Stochastic gradient descent (SGD) and its variants are commonly consider...

7 Tao Li, et al. ∙

research

∙ 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 ...

0 Tim Lackorzynski, et al. ∙

research

∙ 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...

10 Jing Wang, et al. ∙

research

∙ 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...

0 Shihao Han, et al. ∙

research

∙ 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...

6 Jie Yin, et al. ∙

research

∙ 11/24/2021

Subspace Adversarial Training

Single-step adversarial training (AT) has received wide attention as it ...

0 Tao Li, et al. ∙

research

∙ 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...

0 Yuling Chen, et al. ∙

research

∙ 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...

10 Cheng Gong, et al. ∙

research

∙ 05/27/2021

Individual Heterogeneity Learning in Distributional Data Response Additive Models

In many complex applications, data heterogeneity and homogeneity exist s...

0 Zixuan Han, et al. ∙

research

∙ 05/17/2021

The Confluence of Networks, Games and Learning

Recent years have witnessed significant advances in technologies and ser...

16 Tao Li, et al. ∙

research

∙ 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...

0 Tao Li, et al. ∙

research

∙ 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...

10 Jiaqi Zhang, et al. ∙

research

∙ 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...

4 Tao Li, et al. ∙

research

∙ 03/20/2021

Train Deep Neural Networks in 40-D Subspaces

Although there are massive parameters in deep neural networks, the train...

4 Tao Li, et al. ∙

research

∙ 03/08/2021

Differentially Private Imaging via Latent Space Manipulation

There is growing concern about image privacy due to the popularity of so...

15 Tao Li, et al. ∙

research

∙ 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 ...

0 Hong Su, et al. ∙

research

∙ 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...

10 Ning Li, et al. ∙

research

∙ 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...

20 Tao Li, et al. ∙

research

∙ 12/28/2020

Blackwell Online Learning for Markov Decision Processes

This work provides a novel interpretation of Markov Decision Processes (...

5 Tao Li, et al. ∙

research

∙ 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 ...

0 Tao Li, et al. ∙

research

∙ 11/19/2020

Locally-Aware Constrained Games on Networks

Network games have been instrumental in understanding strategic behavior...

0 Guanze Peng, et al. ∙

research

∙ 11/17/2020

Controllable Emotion Transfer For End-to-End Speech Synthesis

Emotion embedding space learned from references is a straightforward app...

0 Tao Li, et al. ∙

Tao Li

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