Spatio-temporal deep learning method for ADHD fMRI classification. - Zhenyu Mao; Yi Su; Guangquan Xu; Xueping Wang; Yu Huang 004; Weihua Yue; Li Sun; Naixue Xiong (Inf. Sci., 2019)

ADHD fMRI short-time analysis method for edge computing based on multi-instance learning. - Chengfeng Dou; Shikun Zhang; Hanping Wang; Li Sun; Yu Huang 004; Weihua Yue (J. Syst. Archit., 2020)

An Ensemble Deep Learning Approach Combining Phenotypic Data and fMRI for ADHD Diagnosis. - Yuanze Qin; Yiwei Lou; Yu Huang 004; Rigao Chen; Weihua Yue (J. Signal Process. Syst., 2022)

MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering. - Dexuan Xu; Yanyuan Chen; Jieyi Wang; Yue Huang; Hanpin Wang; Zhi Jin; Hongxing Wang; Weihua Yue; Jing He; Hang Li; Yu Huang 004 (ACL (Findings), 2024)

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling. - Jieyi Wang; Yue Huang; Zeming Liu; Dexuan Xu; Chuan Wang 002; Xiaoming Shi; Ruiyuan Guan; Hongxing Wang; Weihua Yue; Yu Huang 004 (AAAI, 2025)

Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients. - Xiaoyang Feng; Yantao Ma; Sikai Ruan; Liangkun Guo; Jun Ji; Yuyanan Zhang; Yaoyao Sun; Zhe Lu; Zhewei Kang; Yundan Liao; Junyuan Sun; Guorui Zhao; et al. (J. Big Data, 2025)

Knowledge fusion in deep learning-based medical vision-language models: A review. - Dexuan Xu; Yanyuan Chen; Zhongyan Chai; Yifan Xiao; Yandong Yan; Weiping Ding 001; Hanpin Wang; Zhi Jin; Wenpin Jiao; Weihua Yue; Hang Li; Yu Huang 004 (Inf. Fusion, 2026)