Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. - Yejin Kim 001; Yong Hyun Park; Ji Youl Lee; In Young Choi; Donghyun Kim 007; Hwanjo Yu (DTMBIO@CIKM, 2015)

Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. - Yejin Kim 001; Yong Hyun Park; Ji Youl Lee; In Young Choi; Hwanjo Yu (BMC Medical Informatics Decis. Mak., 2016)

Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins. - Jingyun Choi; Yejin Kim 001; Hun-Sung Kim; In Young Choi; Hwanjo Yu (BCB, 2017)

DiagTree: Diagnostic Tree for Differential Diagnosis. - Yejin Kim 001; Jingyun Choi; Yosep Chong; Xiaoqian Jiang; Hwanjo Yu (CIKM, 2017)

Federated Tensor Factorization for Computational Phenotyping. - Yejin Kim 001; Jimeng Sun 001; Hwanjo Yu; Xiaoqian Jiang (KDD, 2017)

Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. - Yejin Kim 001; Xiaoqian Jiang; Luyao Chen; Xiaojin Li; Licong Cui (AMIA, 2019)

Sequential and Diverse Recommendation with Long Tail. - Yejin Kim 001; Kwangseob Kim; Chanyoung Park 001; Hwanjo Yu (IJCAI, 2019)

Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease. - Xiaoqian Jiang; Samden D. Lhatoo; Guo-Qiang Zhang 001; Luyao Chen; Yejin Kim 001 (CoRR, 2019)

From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. - Rui Zhang 017; Luca Giancardo; Danilo A. Peña; Yejin Kim 001; Hanghang Tong; Xiaoqian Jiang (CoRR, 2019)

Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. - Kanglin Hsieh; Yinyin Wang; Luyao Chen; Zhongming Zhao; Sean I. Savitz; Xiaoqian Jiang; Jing Tang 002; Yejin Kim 001 (CoRR, 2020)

SCOR: A secure international informatics infrastructure to investigate COVID-19. - Jean Louis Raisaro; Francesco Marino; Juan Ramón Troncoso-Pastoriza; Raphaelle Beau-Lejdstrom; Riccardo Bellazzi; Robert Murphy; Elmer V. Bernstam; Henry Wang; Mauro Bucalo; Yong Chen 016; Assaf Gottlieb; Arif Ozgun Harmanci; et al. (J. Am. Medical Informatics Assoc., 2020)

Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease. - Yejin Kim 001; Samden D. Lhatoo; Guo-Qiang Zhang 001; Luyao Chen; Xiaoqian Jiang (J. Biomed. Informatics, 2020)

A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. - Yejin Kim 001; Xiaoqian Jiang; Samden D. Lhatoo; Guoqiang Zhang 001; Shiqiang Tao; Licong Cui; Xiaojin Li; Robert D. Jolly; Luyao Chen; Michael Phan; Cung Ha; Marijane Detranaltes; et al. (BMC Medical Informatics Decis. Mak., 2020)

Automated detection of activity onset after postictal generalized EEG suppression. - Bishal Lamichhane; Yejin Kim 001; Santiago Segarra; Guoqiang Zhang 001; Samden D. Lhatoo; Jaison Hampson; Xiaoqian Jiang (BMC Medical Informatics Decis. Mak., 2020)

Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment. - Juan C. Mier; Yejin Kim 001; Xiaoqian Jiang; Guo-Qiang Zhang 001; Samden D. Lhatoo (BMC Medical Informatics Decis. Mak., 2020)

Learning to detect the onset of slow activity after a generalized tonic-clonic seizure. - Carroll Vance; Yejin Kim 001; Guo-Qiang Zhang 001; Samden D. Lhatoo; Shiqiang Tao; Licong Cui; Xiaojin Li; Xiaoqian Jiang (BMC Medical Informatics Decis. Mak., 2020)

A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy. - Cong Zhu; Yejin Kim 001; Xiaoqian Jiang; Samden D. Lhatoo; Hampson Jaison; Guo-Qiang Zhang 001 (BMC Medical Informatics Decis. Mak., 2020)

Anticancer drug synergy prediction in understudied tissues using transfer learning. - Yejin Kim 001; Shuyu Zheng; Jing Tang 002; W. Jim Zheng; Zhao Li; Xiaoqian Jiang (J. Am. Medical Informatics Assoc., 2021)

Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. - Tongtong Huang; Yan Chu 005; Shayan Shams; Yejin Kim 001; Ananth V. Annapragada; Devika Subramanian; Ioannis A. Kakadiaris; Assaf Gottlieb; Xiaoqian Jiang (J. Biomed. Informatics, 2021)

Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. - Yan Ding; Xiaoqian Jiang; Yejin Kim 001 (Bioinform., 2022)

Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. - Kritib Bhattarai; Sivaraman Rajaganapathy; Trisha Das; Yejin Kim 001; Yongbin Chen; Qiying Dai; Xiaoyang Li; Xiaoqian Jiang; Nansu Zong (ICHI, 2023)

An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma. - Ko-Hong Lin; Jay-Jiguang Zhu; Judith A. Smith; Yejin Kim 001; Xiaoqian Jiang (ICHI, 2023)

Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. - Pulakesh Upadhyaya; Yaobin Ling; Luyao Chen; Yejin Kim 001; Xiaoqian Jiang (ICHI, 2023)

CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models. - Tianhao Li; Sandesh Shetty; Advaith Kamath; Ajay Jaiswal; Xianqian Jiang; Ying Ding 001; Yejin Kim 001 (CoRR, 2023)

Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. - Yaobin Ling; Pulakesh Upadhyaya; Luyao Chen; Xiaoqian Jiang; Yejin Kim 001 (J. Biomed. Informatics, 2023)

Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. - Kritib Bhattarai; Sivaraman Rajaganapathy; Trisha Das; Yejin Kim 001; Yongbin Chen; Qiying Dai; Xiaoyang Li; Xiaoqian Jiang; Nansu Zong (J. Am. Medical Informatics Assoc., 2023)

Federated Learning for Estimating Heterogeneous Treatment Effects. - Disha Makhija; Joydeep Ghosh; Yejin Kim 001 (CoRR, 2024)

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data. - Yaobin Ling; Xiaoqian Jiang; Yejin Kim 001 (CoRR, 2024)

Achieving Fairness Across Local and Global Models in Federated Learning. - Disha Makhija; Xing Han; Joydeep Ghosh; Yejin Kim 001 (CoRR, 2024)

Clinical outcome-guided deep temporal clustering for disease progression subtyping. - Dulin Wang; Xiaotian Ma; Paul E. Schulz; Xiaoqian Jiang; Yejin Kim 001 (J. Biomed. Informatics, 2024)

CancerGPT for few shot drug pair synergy prediction using large pretrained language models. - Tianhao Li; Sandesh Shetty; Advaith Kamath; Ajay Jaiswal; Xiaoqian Jiang; Ying Ding 001; Yejin Kim 001 (npj Digit. Medicine, 2024)

KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model. - Kai Zhang; Rui Zhu; Shutian Ma; Jingwei Xiong; Yejin Kim 001; Fabricio Murai; Xiaozhong Liu (CoRR, 2025)