A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine. - Jiajing Zhu; Yongguo Liu; Shangming Yang; Shuangqing Zhai; Zhang Yi 001; Chuanbiao Wen (CIKM, 2018)

Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Ziqiang Zheng; Xiaofeng Liu; Weiguang Wang; Zijie Chen; Shuangqing Zhai (CIKM, 2019)

ANDERATION: A New Anti-Community Detection Algorithm and its Application to Explore Incompatibility of Traditional Chinese Medicine. - Qiaoqin Li; Yongguo Liu; Jiajing Zhu; Yonghua Xiao; Hao Wu; Xiaofeng Liu; Zijie Chen; Shuangqing Zhai (IEEE Access, 2019)

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)

Learning Methods of Convolutional Neural Network Combined With Image Feature Extraction in Brain Tumor Detection. - Weiguang Wang; Fanlong Bu; Ziyi Lin; Shuangqing Zhai (IEEE Access, 2020)

NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Changhong Yang; Wen Yang; Shuangqing Zhai (IEEE Access, 2020)

A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Shuangqing Zhai; Rongjiang Jin; Chuanbiao Wen (Comput. Math. Methods Medicine, 2020)

Exploring Chinese word embedding with similar context and reinforcement learning. - Yun Zhang 019; Yongguo Liu; Dongxiao Li; Shuangqing Zhai (Neural Comput. Appl., 2022)