MSC: A Semantic Ranking for Hitting Results of Matchmaking of Services. - Xian Shen; Xin Jin 019; Rongfang Bie; Yunchuan Sun (COMPSAC (2), 2006)

Spam email filtering with bayesian belief network: using relevant words. - Xin Jin 019; Anbang Xu; Rongfang Bie; Xian Shen; Min Yin (GrC, 2006)

Global and Local Preserving Feature Extraction for Image Categorization. - Rongfang Bie; Xin Jin 019; Chuan Xu; Chuanliang Chen; Anbang Xu; Xian Shen (ICANN (2), 2007)

Automatic web pages categorization with ReliefF and Hidden Naive Bayes. - Xin Jin 019; Rongyan Li; Xian Shen; Rongfang Bie (SAC, 2007)

Artificial Immune Networks: Models and Applications. - Xian Shen; Xiao Zhi Gao 001; Rongfang Bie (Int. J. Comput. Intell. Syst., 2008)

DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images. - Yanan Wang 003; Changyuan Hu; Terry Kwok; Christopher A. Bain; Xiangyang Xue 001; Robin B. Gasser; Geoffrey I. Webb; Alex Boussioutas; Xian Shen; Roger J. Daly; Jiangning Song (Bioinform., 2022)

Genomic instability-related twelve-microRNA signatures for predicting the prognosis of gastric cancer. - Jingxuan Xu; Jingjing Song; Xinxin Chen; Yingpeng Huang; Tao You; Ce Zhu; Xian Shen; Yaping Zhao (Comput. Biol. Medicine, 2023)

Utilizing machine learning to integrate single-cell and bulk RNA sequencing data for constructing and validating a novel cell adhesion molecules related prognostic model in gastric cancer. - Chenbin Chen; Xietao Chen; Yuanbo Hu; Bujian Pan; Qunjia Huang; Qiantong Dong; Xiangyang Xue 002; Xian Shen; Xiaodong Chen (Comput. Biol. Medicine, 2024)

LLM-Adapted Interpretation Framework for Machine Learning Models. - Yuqi Jin; Zihan Hu; Weiteng Zhang; Weihao Xie; Jianwei Shuai; Xian Shen; Zhen Feng (CoRR, 2025)