Xiangxu Yu
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View article: Speech pattern disorders in verbally fluent individuals with autism spectrum disorder: a machine learning analysis
Speech pattern disorders in verbally fluent individuals with autism spectrum disorder: a machine learning analysis Open
Introduction Diagnosing Autism Spectrum Disorder (ASD) in verbally fluent individuals based on speech patterns in examiner-patient dialogues is challenging because speech-related symptoms are often subtle and heterogeneous. This study aime…
View article: A study on the relationship between knowledge spillover, organizational learning, and corporate innovation
A study on the relationship between knowledge spillover, organizational learning, and corporate innovation Open
This article examines the relationship between knowledge spillovers, organizational learning, and corporate innovation, drawing on the absorptive capacity theory, the knowledge-based view, and the innovation ecosystem theory. From the pers…
View article: Exploiting Large Language Models for Diagnosing Autism Associated Language Disorders and Identifying Distinct Features
Exploiting Large Language Models for Diagnosing Autism Associated Language Disorders and Identifying Distinct Features Open
Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. In this study, we explored Large Language Models (LLMs) to overcome the…
View article: Exploring Speech Pattern Disorders in Autism using Machine Learning
Exploring Speech Pattern Disorders in Autism using Machine Learning Open
Diagnosing Autism Spectrum Disorder (ASD) based on speech patterns in examiner-patient dialogues presents significant challenges due to the subtle and varied nature of speech-related symptoms. This study analyzes recorded dialogues using t…
View article: M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance
M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance Open
We present M2-omni, a cutting-edge, open-source omni-MLLM that achieves competitive performance to GPT-4o. M2-omni employs a unified multimodal sequence modeling framework, which empowers Large Language Models(LLMs) to acquire comprehensiv…
View article: Can micro-expressions be used as a biomarker for autism spectrum disorder?
Can micro-expressions be used as a biomarker for autism spectrum disorder? Open
Introduction Early and accurate diagnosis of autism spectrum disorder (ASD) is crucial for effective intervention, yet it remains a significant challenge due to its complexity and variability. Micro-expressions are rapid, involuntary facia…
View article: Exploring Speech Pattern Disorders in Autism using Machine Learning
Exploring Speech Pattern Disorders in Autism using Machine Learning Open
Diagnosing autism spectrum disorder (ASD) by identifying abnormal speech patterns from examiner-patient dialogues presents significant challenges due to the subtle and diverse manifestations of speech-related symptoms in affected individua…
View article: Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Features
Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Features Open
Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. Traditional diagnostic methods not only require intensive human effort …
View article: Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis
Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis Open
How can we teach a computer to recognize 10,000 different actions? Deep\nlearning has evolved from supervised and unsupervised to self-supervised\napproaches. In this paper, we present a new contrastive learning-based\nframework for decisi…
View article: Perceptual Quality Assessment of UGC Gaming Videos
Perceptual Quality Assessment of UGC Gaming Videos Open
In recent years, with the vigorous development of the video game industry, the proportion of gaming videos on major video websites like YouTube has dramatically increased. However, relatively little research has been done on the automatic …
View article: Subjective and Objective Analysis of Streamed Gaming Videos
Subjective and Objective Analysis of Streamed Gaming Videos Open
The rising popularity of online User-Generated-Content (UGC) in the form of streamed and shared videos, has hastened the development of perceptual Video Quality Assessment (VQA) models, which can be used to help optimize their delivery. Ga…
View article: RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content Open
Blind or no-reference video quality assessment of user-generated content (UGC) has become a trending, challenging, heretofore unsolved problem. Accurate and efficient video quality predictors suitable for this content are thus in great dem…
View article: Subjective and Objective Quality Assessment of High Frame Rate Videos
Subjective and Objective Quality Assessment of High Frame Rate Videos Open
High frame rate (HFR) videos are becoming increasingly common with the tremendous popularity of live, high-action streaming content such as sports. Although HFR contents are generally of very high quality, high bandwidth requirements make …
View article: Predicting the Quality of Compressed Videos With Pre-Existing Distortions
Predicting the Quality of Compressed Videos With Pre-Existing Distortions Open
Because of the increasing ease of video capture, many millions of consumers create and upload large volumes of User-Generated-Content (UGC) videos to social and streaming media sites over the Internet. UGC videos are commonly captured by n…
View article: Study of 3D Virtual Reality Picture Quality
Study of 3D Virtual Reality Picture Quality Open
Virtual Reality (VR) and its applications have attracted significant and increasing attention. However, the requirements of much larger file sizes, different storage formats, and immersive viewing conditions pose significant challenges to …
View article: Predicting Encoded Picture Quality in Two Steps is a Better Way
Predicting Encoded Picture Quality in Two Steps is a Better Way Open
Full-reference (FR) image quality assessment (IQA) models assume a high quality "pristine" image as a reference against which to measure perceptual image quality. In many applications, however, the assumption that the reference image is of…