Using neural attention networks to detect adverse medical events from electronic health records. - Jiebin Chu; Wei Dong 005; Kunlun He; Huilong Duan; Zhengxing Huang (J. Biomed. Informatics, 2018)

Treatment Effect Prediction with Generative Adversarial Networks Using Electronic Health Records. - Jiebin Chu; Wei Dong 005; Zhengxing Huang (SEPDA@ISWC, 2019)

Endpoint prediction of heart failure using electronic health records. - Jiebin Chu; Wei Dong 005; Zhengxing Huang (J. Biomed. Informatics, 2020)

Treatment effect prediction with adversarial deep learning using electronic health records. - Jiebin Chu; Wei Dong 005; Jinliang Wang; Kunlun He; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2020)

Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application. - Jiebin Chu; Jinbiao Chen; Xiaofang Chen; Wei Dong 005; Jinlong Shi; Zhengxing Huang (J. Biomed. Informatics, 2021)

On learning disentangled representations for individual treatment effect estimation. - Jiebin Chu; Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (J. Biomed. Informatics, 2021)

Disentangled representation for sequential treatment effect estimation. - Jiebin Chu; Yaoyun Zhang; Fei Huang 002; Luo Si; Songfang Huang; Zhengxing Huang (Comput. Methods Programs Biomed., 2022)

Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning. - Zhoujian Sun; Ziyi Liu; Cheng Luo; Jiebin Chu; Zhengxing Huang (CoRR, 2025)