Longitudinal Alteration of Amygdalar Functional Connectivity in Mild Cognitive Impairment Subjects Revealed by Resting-State fMRI. - Hongxiang Yao; Bo Zhou 020; Zengqiang Zhang; Pan Wang; Yan'e Guo; Yanchang Shang; Luning Wang; Xi Zhang; Ningyu An; Yong Liu 002 (Brain Connect., 2014)

Network-Based Statistic Show Aberrant Functional Connectivity in Alzheimer's Disease. - Yafeng Zhan; Hongxiang Yao; Pan Wang; Bo Zhou 020; Zengqiang Zhang; Yan'e Guo; Ningyu An; Jianhua Ma 001; Xi Zhang; Yong Liu 002 (IEEE J. Sel. Top. Signal Process., 2016)

Early classification of Alzheimer's disease using hippocampal texture from structural MRI. - Kun Zhao 014; Yanhui Ding; Pan Wang; Xuejiao Dou; Bo Zhou 020; Hongxiang Yao; Ningyu An; Yongxin Zhang; Xi Zhang; Yong Liu 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber Quantification. - Xuejiao Dou; Hongxiang Yao; Dan Jin; Feng Feng; Pan Wang; Bo Zhou 020; Bing Liu 008; Zhengyi Yang 002; Ningyu An; Xi Zhang; Yong Liu 002 (ISBI, 2019)

Large Language Models Are Also Good Prototypical Commonsense Reasoners. - Chenin Li; Qianglong Chen; Yin Zhang 006; Yifei Zhang; Hongxiang Yao (CoRR, 2023)

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. - Hao Qian 003; Hongting Zhou; Qian Zhao; Hao Chen; Hongxiang Yao; Jingwei Wang; Ziqi Liu; Fei Yu; Zhiqiang Zhang 012; Jun Zhou 011 (AAAI, 2024)

Disentangled Representation Learning for Capturing Individualized Brain Atrophy via Pseudo-Healthy Synthesis. - Zhuangzhuang Li; Kun Zhao 014; Pindong Chen; Dawei Wang 015; Hongxiang Yao; Bo Zhou 020; Jie Lu 010; Pan Wang; Xi Zhang; Ying Han; Yong Liu 002 (IEEE J. Biomed. Health Informatics, 2025)