Yejin Kim - RankMe

37 papers A* 2A 1Misc 1Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	KEDRec-LM: A Knowledge-distilled Explainable Drug Recommendation Large Language Model. CoRR Kai Zhang, Rui Zhu, Shutian Ma, Jingwei Xiong, Yejin Kim, Fabricio Murai, Xiaozhong Liu
2025	J	`jnl`	Structure-Aware Antibody Design with Affinity-Optimized Inverse Folding. CoRR Xinyan Zhao, Yi-Ching Tang, Rivaaj Monsia, Victor J. Cantu, Ashwin Kumar Ramesh, Xiaozhong Liu, Zhiqiang An, Xiaoqian Jiang, Yejin Kim
2024	J	`jnl`	Achieving Fairness Across Local and Global Models in Federated Learning. CoRR Disha Makhija, Xing Han, Joydeep Ghosh, Yejin Kim
2024	J	`jnl`	CancerGPT for few shot drug pair synergy prediction using large pretrained language models. npj Digit. Medicine Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim
2024	J	`jnl`	Clinical outcome-guided deep temporal clustering for disease progression subtyping. J. Biomed. Informatics Dulin Wang, Xiaotian Ma, Paul E. Schulz, Xiaoqian Jiang, Yejin Kim
2024	J	`jnl`	Federated Learning for Estimating Heterogeneous Treatment Effects. CoRR Disha Makhija, Joydeep Ghosh, Yejin Kim
2024	J	`jnl`	MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data. CoRR Yaobin Ling, Xiaoqian Jiang, Yejin Kim
2023	—	`conf`	An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma. ICHI Ko-Hong Lin, Jay-Jiguang Zhu, Judith A. Smith, Yejin Kim, Xiaoqian Jiang
2023	J	`jnl`	CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models. CoRR Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim
2023	J	`jnl`	Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning. Bioinform. Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, Chanyoung Park
2023	J	`jnl`	Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark. J. Biomed. Informatics Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim
2023	—	`conf`	Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning. ICHI Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang
2023	—	`conf`	Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning. ICHI Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong
2023	J	`jnl`	Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease. J. Am. Medical Informatics Assoc. Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong
2022	J	`jnl`	Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. Bioinform. Yan Ding, Xiaoqian Jiang, Yejin Kim
2021	J	`jnl`	Anticancer drug synergy prediction in understudied tissues using transfer learning. J. Am. Medical Informatics Assoc. Yejin Kim, Shuyu Zheng, Jing Tang, W. Jim Zheng, Zhao Li, Xiaoqian Jiang
2021	J	`jnl`	Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates. J. Biomed. Informatics Tongtong Huang, Yan Chu, Shayan Shams, Yejin Kim, Ananth V. Annapragada, Devika Subramanian, Ioannis A. Kakadiaris, Assaf Gottlieb, Xiaoqian Jiang
2021	J	`jnl`	Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. CoRR Yan Ding, Xiaoqian Jiang, Yejin Kim
2020	J	`jnl`	A community effort for automatic detection of postictal generalized EEG suppression in epilepsy. BMC Medical Informatics Decis. Mak. Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Guoqiang Zhang, Shiqiang Tao, Licong Cui, Xiaojin Li, Robert D. Jolly, Luyao Chen, Michael Phan, Cung Ha, Marijane Detranaltes, Jiajie Zhang
2020	J	`jnl`	A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy. BMC Medical Informatics Decis. Mak. Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Hampson Jaison, Guo-Qiang Zhang
2020	J	`jnl`	Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics Decis. Mak. Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden D. Lhatoo, Jaison Hampson, Xiaoqian Jiang
2020	J	`jnl`	Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment. BMC Medical Informatics Decis. Mak. Juan C. Mier, Yejin Kim, Xiaoqian Jiang, Guo-Qiang Zhang, Samden D. Lhatoo
2020	J	`jnl`	Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. CoRR Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean I. Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim
2020	J	`jnl`	Learning to detect the onset of slow activity after a generalized tonic-clonic seizure. BMC Medical Informatics Decis. Mak. Carroll Vance, Yejin Kim, Guo-Qiang Zhang, Samden D. Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li, Xiaoqian Jiang
2020	J	`jnl`	SCOR: A secure international informatics infrastructure to investigate COVID-19. J. Am. Medical Informatics Assoc. 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, Assaf Gottlieb, Arif Ozgun Harmanci, Miran Kim, Yejin Kim, Jeffrey G. Klann, Catherine Klersy, Bradley A. Malin, Marie Méan, Fabian Prasser, Luigia Scudeller, Ali Torkamani, Julien Vaucher, Mamta Puppala, Stephen T. C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam B. Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, Jean-Pierre Hubaux
2020	J	`jnl`	Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease. J. Biomed. Informatics Yejin Kim, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Xiaoqian Jiang
2019	J	`jnl`	Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease. CoRR Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Luyao Chen, Yejin Kim
2019	Misc	`conf`	Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. AMIA Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui
2019	J	`jnl`	Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization. CoRR Yejin Kim, Xiaoqian Jiang, Luyao Chen, Xiaojin Li, Licong Cui
2019	J	`jnl`	From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang
2019	A*	`conf`	Sequential and Diverse Recommendation with Long Tail. IJCAI Yejin Kim, KwangSeob Kim, Chanyoung Park, Hwanjo Yu
2017	A	`conf`	DiagTree: Diagnostic Tree for Differential Diagnosis. CIKM Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu
2017	A*	`conf`	Federated Tensor Factorization for Computational Phenotyping. KDD Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
2017	J	`jnl`	Federated Tensor Factorization for Computational Phenotyping. CoRR Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
2017	—	`conf`	Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins. BCB Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu
2016	J	`jnl`	Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. BMC Medical Informatics Decis. Mak. Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Hwanjo Yu
2015	—	`conf`	Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. DTMBIO@CIKM Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu