b'Shuo Liu'

research

∙ 09/07/2023

Evaluating the Efficacy of Supervised Learning vs Large Language Models for Identifying Cognitive Distortions and Suicidal Risks in Chinese Social Media

Large language models, particularly those akin to the rapidly progressin...

0 Hongzhi Qi, et al. ∙

research

∙ 09/06/2023

FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching

The tracking of various fish species plays a profoundly significant role...

0 Shuo Liu, et al. ∙

research

∙ 08/29/2023

Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals

In the contemporary landscape of social media, an alarming number of use...

0 Guanghui Fu, et al. ∙

research

∙ 06/15/2023

LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

Large Vision-Language Models (LVLMs) have recently played a dominant rol...

0 Peng Xu, et al. ∙

research

∙ 06/14/2023

MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration

This paper introduces a novel optimization framework for deep neural net...

0 Zhiqiang Que, et al. ∙

research

∙ 05/30/2023

Towards Selection of Text-to-speech Data to Augment ASR Training

This paper presents a method for selecting appropriate synthetic speech ...

0 Shuo Liu, et al. ∙

research

∙ 01/25/2023

HEAR4Health: A blueprint for making computer audition a staple of modern healthcare

Recent years have seen a rapid increase in digital medicine research in ...

0 Andreas Triantafyllopoulos, et al. ∙

research

∙ 11/16/2022

Impact of Redundancy on Resilience in Distributed Optimization and Learning

This report considers the problem of resilient distributed optimization ...

0 Shuo Liu, et al. ∙

research

∙ 11/07/2022

TLP: A Deep Learning-based Cost Model for Tensor Program Tuning

Tensor program tuning is a non-convex objective optimization problem, to...

0 Yi Zhai, et al. ∙

research

∙ 10/09/2022

Iterative Convex Optimization for Model Predictive Control with Discrete-Time High-Order Control Barrier Functions

Safety is one of the fundamental challenges in control theory. Recently,...

0 Shuo Liu, et al. ∙

research

∙ 10/06/2022

An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era

Speech is the fundamental mode of human communication, and its synthesis...

0 Andreas Triantafyllopoulos, et al. ∙

research

∙ 07/27/2022

Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection

In this paper, we present the Multi-Forgery Detection Challenge held con...

2 Jianshu Li, et al. ∙

research

∙ 05/30/2022

Byzantine Fault-Tolerant Min-Max Optimization

In this report, we consider a min-max optimization problem under adversa...

0 Shuo Liu, et al. ∙

research

∙ 03/31/2022

A Temporal-oriented Broadcast ResNet for COVID-19 Detection

Detecting COVID-19 from audio signals, such as breathing and coughing, c...

0 Xin Jing, et al. ∙

research

∙ 03/02/2022

Audio Self-supervised Learning: A Survey

Inspired by the humans' cognitive ability to generalise knowledge and sk...

0 Shuo Liu, et al. ∙

research

∙ 10/21/2021

Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning

This paper considers the problem of resilient distributed optimization a...

0 Shuo Liu, et al. ∙

research

∙ 10/13/2021

Multistage linguistic conditioning of convolutional layers for speech emotion recognition

In this contribution, we investigate the effectiveness of deep fusion of...

0 Andreas Triantafyllopoulos, et al. ∙

research

∙ 06/16/2021

A Survey on Fault-tolerance in Distributed Optimization and Machine Learning

The robustness of distributed optimization is an emerging field of study...

0 Shuo Liu, et al. ∙

research

∙ 06/08/2021

CloudChain: A Cloud Blockchain Using Shared Memory Consensus and RDMA

Blockchain technologies can enable secure computing environments among m...

0 Minghui Xu, et al. ∙

research

∙ 06/07/2021

Asynchronous Distributed Optimization with Redundancy in Cost Functions

This paper considers the problem of asynchronous distributed multi-agent...

0 Shuo Liu, et al. ∙

research

∙ 04/19/2021

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate

This study investigates the potential of deep learning methods to identi...

0 Shuo Liu, et al. ∙

research

∙ 01/22/2021

Approximate Byzantine Fault-Tolerance in Distributed Optimization

We consider the problem of Byzantine fault-tolerance in distributed mult...

0 Shuo Liu, et al. ∙

research

∙ 09/21/2020

NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration

We present NetReduce, a novel RDMA-compatible in-network reduction archi...

0 Shuo Liu, et al. ∙

research

∙ 08/11/2020

Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE)

This report considers the problem of Byzantine fault-tolerance in homoge...

0 Nirupam Gupta, et al. ∙

research

∙ 04/30/2020

An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety

The COVID-19 outbreak was announced as a global pandemic by the World He...

0 Jing Han, et al. ∙

research

∙ 11/16/2019

N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System

N-HANS is a Python toolkit for in-the-wild audio enhancement, including ...

0 Shuo Liu, et al. ∙

research

∙ 07/10/2019

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mi...

0 Fabien Ringeval, et al. ∙

research

∙ 06/24/2019

Single-Channel Speech Separation with Auxiliary Speaker Embeddings

We present a novel source separation model to decompose asingle-channel ...

0 Shuo Liu, et al. ∙

research

∙ 06/28/2018

Automatic streetlights that glow on detecting night and object using Arduino

Our manuscript aims to develop a system which will lead to energy conser...

0 Zain Mumtaz, et al. ∙

research

∙ 06/25/2018

IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation

Context enhancement is critical for night vision (NV) applications, espe...

0 Shuo Liu, et al. ∙

research

∙ 06/12/2018

Controlling spectral energies of all harmonics in programmable way using time-domain digital coding metasurface

Modern wireless communication is one of the most important information t...

0 Jie Zhao, et al. ∙

research

∙ 05/31/2018

Efficient Traffic-Sign Recognition with Scale-aware CNN

The paper presents a Traffic Sign Recognition (TSR) system, which can fa...

10 Yuchen Yang, et al. ∙

research

∙ 11/30/2017

Multi-Channel CNN-based Object Detection for Enhanced Situation Awareness

Object Detection is critical for automatic military operations. However,...

0 Shuo Liu, et al. ∙

Shuo Liu

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