IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Zhi Chen 014; Qiaoqin Li; Shangming Yang; Xiaofeng Liu; Shuangqing Zhai; Yi Zhang; Chuanbiao Wen (Neurocomputing, 2019)

A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks. - Jiajing Zhu; Yongguo Liu; Hao Wu; Zhi Chen 014; Yun Zhang 019; Shangming Yang; Changhong Yang; Wen Yang; Xindong Wu 001 (Inf. Sci., 2020)

Deep Multiple Metric Learning for Time Series Classification. - Zhi Chen 014; Yongguo Liu; Jiajing Zhu; Yun Zhang 019; Qiaoqin Li; Rongjiang Jin; Xia He (IEEE Access, 2021)

Time-frequency deep metric learning for multivariate time series classification. - Zhi Chen 014; Yongguo Liu; Jiajing Zhu; Yun Zhang 019; Rongjiang Jin; Xia He; Jing Tao; Lidian Chen (Neurocomputing, 2021)

Low-rank sparse feature selection with incomplete labels for Alzheimer's disease progression prediction. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Rongjiang Jin; Jing Tao; Lidian Chen (Comput. Biol. Medicine, 2022)

Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Zhi Chen 014; Xindong Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Zhi Chen 014; Xindong Wu 001 (IEEE Trans. Fuzzy Syst., 2022)

A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Jiajing Zhu; Qiaoqin Li (ICONIP (3), 2023)

Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Qiaoqin Li; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2023)

DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Zhi Chen 014; Kun She 001; Rongsheng Tong (Expert Syst. Appl., 2023)

A motion recognition model for upper-limb rehabilitation exercises. - Qiaoqin Li; Yongguo Liu; Jiajing Zhu; Zhi Chen 014; Lang Liu; Shangming Yang; Juan Li; Rongjiang Jin; Jing Tao; Lidian Chen (J. Ambient Intell. Humaniz. Comput., 2023)

Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Jiajing Zhu; Qiaoqin Li; Xindong Wu 001 (IEEE Trans. Image Process., 2024)

HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation. - Hengjie Zheng; Yongguo Liu; Shangming Yang; Yun Zhang 019; Jiajing Zhu; Zhi Chen 014 (Neural Process. Lett., 2024)

FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Zhi Chen 014; Fengli Zhang (Expert Syst. Appl., 2025)

Enhanced Multimodal Low-Rank Embedding-Based Feature Selection Model for Multimodal Alzheimer's Disease Diagnosis. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Jiajing Zhu; Qiaoqin Li; Xindong Wu 001 (IEEE Trans. Medical Imaging, 2025)