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...
share
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...
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...
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...
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...
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 ...
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 ...
research
∙
11/16/2022
Impact of Redundancy on Resilience in Distributed Optimization and Learning
This report considers the problem of resilient distributed optimization ...
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...
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,...
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...
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...
research
∙
05/30/2022
Byzantine Fault-Tolerant Min-Max Optimization
In this report, we consider a min-max optimization problem under adversa...
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...
research
∙
03/02/2022
Audio Self-supervised Learning: A Survey
Inspired by the humans' cognitive ability to generalise knowledge and sk...
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...
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...
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...
research
∙
06/08/2021
CloudChain: A Cloud Blockchain Using Shared Memory Consensus and RDMA
Blockchain technologies can enable secure computing environments among m...
research
∙
06/07/2021
Asynchronous Distributed Optimization with Redundancy in Cost Functions
This paper considers the problem of asynchronous distributed multi-agent...
research
∙
04/19/2021
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate
This study investigates the potential of deep learning methods to identi...
research
∙
01/22/2021
Approximate Byzantine Fault-Tolerance in Distributed Optimization
We consider the problem of Byzantine fault-tolerance in distributed mult...
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...
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...
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...
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 ...
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...
research
∙
06/24/2019
Single-Channel Speech Separation with Auxiliary Speaker Embeddings
We present a novel source separation model to decompose asingle-channel ...
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...
research
∙
06/25/2018
IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation
Context enhancement is critical for night vision (NV) applications, espe...
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...
research
∙
05/31/2018
Efficient Traffic-Sign Recognition with Scale-aware CNN
The paper presents a Traffic Sign Recognition (TSR) system, which can fa...
research
∙
11/30/2017
