Multidirectional Alternating Current Potential Drop Technique for Detecting Random Cracks. - Wenyang Li; Fangji Gan; Shiping Zhao; Yongjie Zhou; Xiaoming He (IEEE Access, 2018)

Exploring Joint Information of Multi-Scales for Vehicle Re-Identification. - Yongjie Zhou; Dahan Wang (ICCAI, 2022)

Secure YOLOv3-SPP: Edge-Cooperative Privacy-preserving Object Detection for Connected Autonomous Vehicles. - Yongjie Zhou; Jinbo Xiong; Renwan Bi; Youliang Tian (NaNA, 2022)

An Improved Algorithm for Peak Detection Based on Weighted Continuous Wavelet Transform. - Yongjie Zhou; Jun Ma; Fei Li; Bohang Chen; Tao Xian; Xuegang Wei (IEEE Access, 2022)

Effects of bullying and perceived social support on anxiety among adolescents with Major Depressive Disorder. - Yang Wang 171; Zhenzhen Zhu; Jiayao Liu; Siyu Chen; Yongjie Zhou; Ovidiu Folcut; Ben Niu 002 (ICIIP, 2023)

Predicting non-suicidal self-injury behavior among adolescents with depressive disorders: a comparative study based on different machine learning methods. - Yang Wang 171; Chengyi Zheng; Bowen Zhang; Jie Lin; Yongjie Zhou; Otilia Manta; Ben Niu 002 (ICIIP, 2023)

Examining the Relative Importance of Factors Influencing Perinatal Anxiety in Different Perinatal Periods During the Covid-19 Pandemic: A Random Forest-Based Approach. - Xiaobing Gan; Ting Guo; Yang Wang; Zhenzhen Zhu; Yongjie Zhou (WHICEB (2), 2023)

Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience. - Shuyue Xu; Zhiguo Zhang 001; Linling Li; Yongjie Zhou; Danyi Lin; Min Zhang 005; Li Zhang 041; Gan Huang; Xiqin Liu; Benjamin Becker; Zhen Liang (NeuroImage, 2023)

Machine learning-based discrimination of unipolar depression and bipolar disorder with streamlined shortlist in adolescents of different ages. - Yang Wang 171; Cheng Huang; Pingping Li; Ben Niu 002; Tingxuan Fan; Hairong Wang; Yongjie Zhou; Yujuan Chai (Comput. Biol. Medicine, 2024)

NSSI-Net: Multi-Concept Generative Adversarial Network for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG Signals in a Semi-Supervised Learning Framework. - Zhen Liang; Weishan Ye; Qile Liu; Li Zhang; Gan Huang; Yongjie Zhou (CoRR, 2024)

A Survey of Large Language Model for Drug Research and Development. - Huijie Guo; Xudong Xing; Yongjie Zhou; Wenjiao Jiang; Xiaoyi Chen; Ting Wang; Zixuan Jiang; Yibing Wang; Junyan Hou; Yukun Jiang; Jianzhen Xu (IEEE Access, 2025)

Interpretable machine learning models based on body composition and inflammatory nutritional index (BCINI) to predict early postoperative recurrence of colorectal cancer: Multi-center study. - Yongjie Zhou; Jinhong Zhao; Fei Zou; Yongming Tan; Wei Zeng; Jiahui Jiang; Jiale Hu; Qiao Zeng; Lianggeng Gong; Lan Liu; Linhua Zhong (Comput. Methods Programs Biomed., 2025)

A hypergraph-based dual-path multi-agent trajectory prediction model with topology inferring. - Yu Hu 010; Xiaobo Chen 001; Yongjie Zhou; Hang Yang; Zhou Zhang; Jun Liang 004 (Eng. Appl. Artif. Intell., 2025)

Vocal emotion perception in Mandarin-speaking older adults with hearing loss. - Yingyang Wang; Min Xu; Jing Shao; Jiaqiang Zhu; Yike Yang; Nan Yan; Lan Wang; Yongjie Zhou (Speech Commun., 2025)

NSSI-Net: A Multi-Concept GAN for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG in a Semi-Supervised Framework. - Zhen Liang; Weishan Ye; Qile Liu; Li Zhang 041; Gan Huang; Yongjie Zhou (IEEE J. Biomed. Health Informatics, 2025)