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Bridging Cognitive Architecture and Developmental Measurement for Artificial General Intelligence

This article develops an operational formulation of the General–Specialized–Applicable (GSA) framework for artificial general intelligence (AGI) evaluation.

Yuqiu Fu, Yuxi Wang, Hongzhao Xie, Shiyun Zhao, Mingyuan Liu, Yujie Lu, Xinyi He, Zhenku Cheng, Yujia Peng, Zhenliang Zhang

Revealing dichotomous prior biases in social anxiety through a social prism model

The Social Prism Model reveals cue-dependent dichotomous prior biases in social anxiety, suggesting that atypical social cognition is driven primarily by distorted prior expectations rather than impaired sensory evidence accumulation.

Yuxi Wang, Qianqian Ju, Renhe Jia, Minghao Yuan, Yujia Peng

Distinct neural signatures of reward processing underlying bipolar disorder and major depressive disorder: a systematic review and meta-analysis

Yuxi Wang, Yujia Peng, Douglas J. Steele, Serenella Tolomeo

Ability decomposition and difficulty quantification of visual tasks: Towards systematic evaluations of artificial general intelligence

This research paper presents an ability decomposition framework and a difficulty quantification methodology for visual tasks, aiming to …

Shaoyang Cui, Xinyi He, Jiaheng Han, Zhenliang Zhang, Yujia Peng

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

A unified mathematical formulation of Artificial General Intelligence (AGI) under the (C, U, V) framework, defining cognitive, potential, and value dimensions and introducing the Tong Test as an evaluation criterion.

Di He, Cong Fang, Yisen Wang, Yujia Peng, Yizhou Wang, Song-Chun Zhu

基于生物运动的社交焦虑者情绪加工与社会意图理解负向偏差机制

A study investigating emotion processing and social intention inference mechanisms in social anxiety using behavioral, neuroimaging, and computational modeling approaches.

Yujia Peng, Yuxi Wang, Qianqian Ju, Feng Liu, Jia Xu

A psychologically interpretable artificial intelligence framework for the screening of loneliness, depression, and anxiety

Feng Liu, Peiwan Wang, Jingyi Hu, Siyuan Shen, Hanyang Wang, Chen Shi, Yujia Peng, Aimin Zhou

A psychologically interpretable artificial intelligence framework for the screening of loneliness, depression, and anxiety

Screening Social Anxiety with the Social Artificial Intelligence Picture System

SAIPS is a generative-AI-based picture system enabling reliable and objective early screening of social anxiety traits.

Qianqian Ju, Zhijian Xu, Zile Chen, Jiayi Fan, Han Zhang, Yujia Peng

Artificial intelligence in mental health: innovations brought by artificial intelligence techniques in stress detection and interventions of building resilience

“The last few decades have witnessed a revolution in the field of mental health, brought about by state-of-the-art techniques of …

Yujia Peng, Feng Liu, Qianqian Ju, Qijian Zheng, Yujia Peng

Human Visual Pathways for Action Recognition Versus Deep Convolutional Neural Networks: Representation Correspondence in Late But Not Early Layers

DCNN models do not show hierarchical representation alignment to human brain across visual regions when processing action videos. Instead, later layers of DCNN models demonstrate greater representation similarities to the human visual cortex.

Yujia Peng, Xizi Gong, Hongjing Lu, Fang Fang

Human Visual Pathways for Action Recognition Versus Deep Convolutional Neural Networks: Representation Correspondence in Late But Not Early Layers