Joint learning of representations of medical concepts and words from EHR data. - Tian Bai 001; Ashis Kumar Chanda; Brian L. Egleston; Slobodan Vucetic (BIBM, 2017)

Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs. - Slobodan Vucetic; Ashis Kumar Chanda; Shanshan Zhang; Tian Bai 001; Aniruddha Maiti (CoRR, 2017)

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. - Tian Bai 001; Shanshan Zhang; Brian L. Egleston; Slobodan Vucetic (KDD, 2018)

Peer assessment of CS doctoral programs shows strong correlation with faculty citations. - Slobodan Vucetic; Ashis Kumar Chanda; Shanshan Zhang; Tian Bai 001; Aniruddha Maiti (Commun. ACM, 2018)

EHR phenotyping via jointly embedding medical concepts and words into a unified vector space. - Tian Bai 001; Ashis Kumar Chanda; Brian L. Egleston; Slobodan Vucetic (BMC Medical Informatics Decis. Mak., 2018)

Medical Concept Representation Learning from Multi-source Data. - Tian Bai 001; Brian L. Egleston; Richard Bleicher; Slobodan Vucetic (IJCAI, 2019)

Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources. - Tian Bai 001; Slobodan Vucetic (WWW, 2019)

Improving medical term embeddings using UMLS Metathesaurus. - Ashis Kumar Chanda; Tian Bai 001; Ziyu Yang; Slobodan Vucetic (BMC Medical Informatics Decis. Mak., 2022)