Explanipedia

A Mathematical Formulation of AGI in the (C, U, V) Framework Open

Di He, Cong Fang, Y. M. Wang, Yujia Peng, Yizhou Wang , et al. · 2025

SEM-Net: A Social–Emotional Music Classification Model for Emotion Regulation and Music Literacy in Individuals with Special Needs Open

Yu-Chi Chou, Sarina Hui‐Lin Chien, Pen-Chiang Chao, Yuan-Jin Lin, C. Q. Chen , et al. · 2025

This study aims to establish an innovative AI-based social–emotional music classification model named SEM-Net, specifically designed to integrate three core positive social–emotional elements—positive outlook, empathy, and problem-solving—…

LSEL: A Lightweight Automated Classic Music Classification Model for Social-Emotional Learning Applications Open

Yuan-Jin Lin, Yu-Chi Chou, Sarina Hui‐Lin Chien, Pen-Chiang Chao, Kun‐Huei Yeh , et al. · 2025

Neural Representations that Reveal a Unified Continuum between Physical and Social Events Open

Sajjad Torabian, John A. Pyles, Yujia Peng, Hongjing Lu, Emily D. Grossman · 2024

PersonalityScanner: Exploring the Validity of Personality Assessment Based on Multimodal Signals in Virtual Reality Open

Xintong Zhang, Di Lu, Huiqi Hu, Nan Jiang, Xianhao Yu , et al. · 2024

Human cognition significantly influences expressed behavior and is intrinsically tied to authentic personality traits. Personality assessment plays a pivotal role in various fields, including psychology, education, social media, etc. Howev…

Patterns of saliency and semantic features distinguish gaze of expert and novice viewers of surveillance footage Open

Yujia Peng, Joseph M. Burling, Greta K. Todorova, Catherine Neary, Frank Pollick , et al. · 2024

Psychodynamic profiles of major depressive disorder and generalized anxiety disorder in China Open

Jia Xu, Yuxi Wang, Yujia Peng · 2024

Traditional clinical diagnoses relying on symptoms may overlook latent factors that illuminate mechanisms and potentially guide treatment. The Operationalized Psychodynamic Diagnosis (OPD) system may compensate for symptom-based diagnosis …

Broadening the scope: Multiple functional connectivity networks underlying threat conditioning and extinction Open

Cody A. Cushing, Yujia Peng, Zachary Anderson, Katherine S. Young, Susan Y. Bookheimer , et al. · 2024

Threat learning processes are thought to be foundational to anxiety and fear-related disorders. However, the study of these processes in the human brain has largely focused on specific brain regions, owing partly to the ease of translating…

Human Visual Pathways for Action Recognition versus Deep Convolutional Neural Networks: Representation Correspondence in Late but Not Early Layers Open

Yujia Peng, Xizi Gong, Hongjing Lu, Fang Fang · 2024

Deep convolutional neural networks (DCNNs) have attained human-level performance for object categorization and exhibited representation alignment between network layers and brain regions. Does such representation alignment naturally extend…

A Critical Analysis of the Efficacy of SBA Loans Open

Yujia Peng · 2023

This paper analyzes the efficacy of the SBA loans from different perspectives, including diversity, supported employment rate, and loan size. This paper also predicts the SBA loans future performance using historical data. To evaluate the …

Broadening the scope: Multiple functional connectivity networks underlying threat and safety signaling Open

Cody A. Cushing, Yujia Peng, Zachary Anderson, Katherine S. Young, Susan Y. Bookheimer , et al. · 2023

Introduction Threat learning and extinction processes are thought to be foundational to anxiety and fear-related disorders. However, the study of these processes in the human brain has largely focused on a priori regions of interest, owing…

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions Open

Yujia Peng, Jiaheng Han, Zhenliang Zhang, Lifeng Fan, Tengyu Liu , et al. · 2023

The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence (AGI) to the forefront of the artificial intelligence (AI) field once again. However, the questions of how to define and evaluat…

Linking Intuitive Physics to Social Cognitive Attributions Open

Sajjad Torabian Esfahani, John A. Pyles, Yujia Peng, Hongjing Lu, Emily D. Grossman · 2023

Does our perception of physical events and social interactions rely on shared or unique neural mechanisms? Computational modeling of Heider-Simmel style animations suggests that observers represent physical causality and social interaction…

MEWL: Few-shot multimodal word learning with referential uncertainty Open

Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng , et al. · 2023

Dataset Release for MEWL: Few-shot multimodal word learning with referential uncertainty (ICML 2023) GitHub: https://github.com/jianggy/MEWL Abstract: Without explicit feedback, humans ca…

MEWL: Few-shot multimodal word learning with referential uncertainty Open

Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng , et al. · 2023

Dataset Release for MEWL: Few-shot multimodal word learning with referential uncertainty (ICML 2023) GitHub: https://github.com/jianggy/MEWL Abstract: Without explicit feedback, humans ca…

Patterns of Saliency and Semantic Features Distinguish Gaze of Expert and Novice Viewers of Surveillance Footage Open

Yujia Peng, Joseph M. Burling, Greta K. Todorova, Catherine Neary, Frank Pollick , et al. · 2022

When viewing the actions of others, we not only see patterns of body movements, but we also “see” the intentions and social relations of people, enabling us to understand the surrounding social environment. Previous research has shown that…

Features derived from a deep neural network distinguish visual cues used by CCTV experts versus novices Open

Yujia Peng, Joseph M. Burling, Greta K. Todorova, Hongjing Lu, Frank Pollick · 2021

When viewing actions, we not only recognize patterns of body movements, but we also "see" the intentions and social relations of people. However, there are individual differences in the ability of inferring intentions from action observati…

A unified psychological space for human perception of physical and social events Open

Tianmin Shu, Yujia Peng, Song‐Chun Zhu, Hongjing Lu · 2021

One of the great feats of human perception is the generation of quick impressions of both physical and social events based on sparse displays of motion trajectories. Here we aim to provide a unified theory that captures the interconnection…

Failure to Identify Robust Latent Variables of Positive or Negative Valence Processing Across Units of Analysis Open

Yujia Peng, J.D. Knotts, Charles T. Taylor, Michelle G. Craske, Murray B. Stein , et al. · 2021

Weak integration of form and motion in two-stream CNNs for action recognition Open

Yujia Peng, Tianmin Shu, Hongjing Lu · 2020

Human-level performance in action recognition has been achieved by the two-stream convolutional neural networks (CNN), which include a spatial CNN for analyzing appearance information in images, a temporal CNN for analyzing optical flow in…

Data for: Causal Actions Enhance Perception of Continuous Body Movements Open

Yujia Peng · 2019

Here are the data of four experiments of the study "Perception of Continuous Movements from Causal Actions".

Perception of continuous movements from causal actions Open

Yujia Peng, Nicholas Ichien, Hongjing Lu · 2019

We see the world as continuous: given stationary frames as inputs, we perceive smooth movements of objects. The perceptual construction of smooth movements depends not only on low-level spatiotemporal features, but also high-level knowledg…

Can two-stream convolutional neural networks emulate human perception of biological movements? Open

Hannah Lee, Yujia Peng, Tianmin Shu, Hongjing Lu · 2019

Visual recognition of biological motion recruits form and motion processing supported by both dorsal and ventral pathways. This neural architecture is resembled by the two-stream convolutional neural networks (CNNs) (Simonyan & Zisserman, …

Motion or emotion: Infants discriminate emotional biological motion based on low-level visual information Open

Marissa Ogren, Brianna E. Kaplan, Yujia Peng, Kerri L. Johnson, Scott P. Johnson · 2019

Distributed Code for Semantic Relations Predicts Neural Similarity Open

Jeffrey N. Chiang, Yujia Peng, Hongjing Lu, Keith J. Holyoak, Martin M. Monti · 2019

The ability to generate and process semantic relations is central to many aspects of human cognition. Theorists have long debated whether such relations are coded as atomistic links in a semantic network, or as distributed patterns over so…

Causal Action: A Framework to Connect Action Perception and Understanding Open

Yujia Peng · 2019

Human actions are more than mere body movements. In contrast to dynamic events involving inanimate objects, human actions have a special status in that they control interactions with the world and afford privileged access to the experience…

Evidence that low IQ, but not schizophrenia, impairs motion integration Open

Brian P. Keane, Yujia Peng, Docia Demmin, Steven M. Silverstein, Hongjing Lu · 2018

Background. Prior studies have documented biological motion perception deficits in schizophrenia. Do these deficits arise from poor social cognition, perceptual organization, basic motion processing, or sustained attention? Methods. To add…

Behavioral oscillations reveal hierarchical representation of biological motion Open

Yujia Peng, Hongjing Lu · 2018

Human actions involve subparts of body movements nested within a hierarchical structure. However, numerous motion hierarchies are consistent with observed body movements. It remains unknown how the visual system identifies a particular hie…

Data for: Infant Perception of Sex Differences in Biological Motion Displays Open

Scott H. Johnson, Tawny Tsang, Kerri L. Johnson, Marissa Ogren, Bryan Nguyen , et al. · 2018

Excel files

Intact perception of coherent motion, dynamic rigid form, and biological motion in chronic schizophrenia Open

Brian P. Keane, Yujia Peng, Docia Demmin, Steve Silverstein, Hongjing Lu · 2018

Yujia Peng YOU? Author Swipe