15 citations · 61 across the 19 of their papers we have counts for
21 papers
Conditional Accuracy Profiles: Diagnosing LLM Judges across Deployment Conditions
Wenqi Li, Bin Liu, Mindi Ruan +3
LLM-as-judge is now a standard tool for scalable evaluation, but judge performance is still often summarized by a single accuracy number. This aggregate view hides the deployment c…
A Deterministic Evidence Layer for Vision-Language Autism Screening from Naturalistic Home Video
Wenqi Li, Mindi Ruan, Chuanbo Hu +2
Autism spectrum disorder (ASD) is diagnosed through specialist observation of a child's social behavior, and access to that expertise is the bottleneck for early identification. Vi…
A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism
Chuanbo Hu, Minglei Yin, Bin Liu +4
Characteristic linguistic behaviors associated with Social Language Disorder (SLD) in autism spectrum disorder, including echoic repetition, pronoun displacement, and stereotyped m…
Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation
Minglei Yin, Chuanbo Hu, Bin Liu +4
Learning from implicit feedback has become the standard paradigm for modern recommender systems. However, this setting is fraught with the persistent challenge of false negatives,…
URSimulator: Human-Perception-Driven Prompt Tuning for Enhanced Virtual Urban Renewal via Diffusion Models
Chuanbo Hu, Shan Jia, Xin Li
Tackling Urban Physical Disorder (e.g., abandoned buildings, litter, messy vegetation, graffiti) is essential, as it negatively impacts the safety, well-being, and psychological st…
Video-based Analysis Reveals Atypical Social Gaze in People with Autism Spectrum Disorder
Xiangxu Yu, Mindi Ruan, Chuanbo Hu +4
In this study, we present a quantitative and comprehensive analysis of social gaze in people with autism spectrum disorder (ASD). Diverging from traditional first-person camera per…
Multimodal Chain-of-Thought Reasoning via ChatGPT to Protect Children from Age-Inappropriate Apps
Chuanbo Hu, Bin Liu, Minglei Yin +2
Mobile applications (Apps) could expose children to inappropriate themes such as sexual content, violence, and drug use. Maturity rating offers a quick and effective method for pot…
Exploring Speech Pattern Disorders in Autism using Machine Learning
Chuanbo Hu, Jacob Thrasher, Wenqi Li +5
Diagnosing autism spectrum disorder (ASD) by identifying abnormal speech patterns from examiner-patient dialogues presents significant challenges due to the subtle and diverse mani…
Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Features
Chuanbo Hu, Wenqi Li, Mindi Ruan +5
Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. Traditional…
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
Shan Jia, Reilin Lyu, Kangran Zhao +7
DeepFakes, which refer to AI-generated media content, have become an increasing concern due to their use as a means for disinformation. Detecting DeepFakes is currently solved with…
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai +5
Recent advancements in multimodal machine learning have empowered the development of accurate and robust AI systems in the medical domain, especially within centralized database sy…
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media
Chuanbo Hu, Bin Liu, Xin Li +1
Social media platforms such as Instagram and Twitter have emerged as critical channels for drug marketing and illegal sale. Detecting and labeling online illicit drug trafficking a…
UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery
Chuanbo Hu, Shan Jia, Fan Zhang +4
Urban Physical Disorder (UPD), such as old or abandoned buildings, broken sidewalks, litter, and graffiti, has a negative impact on residents' quality of life. They can also increa…
Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis
Mindi Ruan, Xiangxu Yu, Na Zhang +3
How can we teach a computer to recognize 10,000 different actions? Deep learning has evolved from supervised and unsupervised to self-supervised approaches. In this paper, we prese…
A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding
Chuanbo Hu, Shan Jia, Fan Zhang +1
Global Positioning Systems (GPS) have played a crucial role in various navigation applications. Nevertheless, localizing the perfect destination within the last few meters remains…
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
Chuanbo Hu, Minglei Yin, Bin Liu +2
Social media such as Instagram and Twitter have become important platforms for marketing and selling illicit drugs. Detection of online illicit drug trafficking has become critical…
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
Chuanbo Hu, Minglei Yin, Bin Liu +2
Illicit drug trafficking via social media sites such as Instagram has become a severe problem, thus drawing a great deal of attention from law enforcement and public health agencie…
Detection of Genuine and Posed Facial Expressions of Emotion: A Review
Shan Jia, Shuo Wang, Chuanbo Hu +2
Facial expressions of emotion play an important role in human social interactions. However, posed acting is not always the same as genuine feeling. Therefore, the credibility asses…
3D Face Anti-spoofing with Factorized Bilinear Coding
Shan Jia, Xin Li, Chuanbo Hu +2
We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. When compared with widely studied 2D face presenta…
Spoofing and Anti-Spoofing with Wax Figure Faces
Shan Jia, Xin Li, Chuanbo Hu +1
We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. Compared to widely studied 2D face presentation at…
A database for face presentation attack using wax figure faces
Shan Jia, Chuanbo Hu, Guodong Guo +1
Compared to 2D face presentation attacks (e.g. printed photos and video replays), 3D type attacks are more challenging to face recognition systems (FRS) by presenting 3D characteri…