Yikuan Li - RankMe

40 papers A* 2Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents. EMNLP (Industry Track) Ervine Zheng, Yikuan Li, Geoffrey J. Tso, Jilong Kuang
2025	A*	`conf`	Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources. IJCAI Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
2025	J	`jnl`	Leveraging large language models for academic conference organization. npj Digit. Medicine Yuan Luo, Yikuan Li, Omolola Ogunyemi, Eileen Koski, Blanca E. Himes
2024	J	`jnl`	Structural simulation and selective inhibitor discovery study for histone demethylases KDM4E/6B from a computational perspective. Comput. Biol. Chem. Chenxiao Wang, Baichun Hu, Yi Yang, Yihan Wang, Juyue Qin, Xiaolian Wen, Yikuan Li, Hui Li, Yutong Wang, Jian Wang, Yang Liu
2024	J	`jnl`	Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. IEEE Trans. Neural Networks Learn. Syst. Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi
2023	J	`jnl`	A Comparative Study of Pretrained Language Models for Long Clinical Text. CoRR Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
2023	J	`jnl`	A comparative study of pretrained language models for long clinical text. J. Am. Medical Informatics Assoc. Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
2023	J	`jnl`	AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2023	A*	`conf`	Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. ICLR Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
2023	J	`jnl`	Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. CoRR Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
2023	J	`jnl`	Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. CoRR Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
2023	J	`jnl`	Enhancing Health Data Interoperability with Large Language Models: A FHIR Study. CoRR Yikuan Li, Hanyin Wang, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Yuan Luo
2023	J	`jnl`	Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
2023	J	`jnl`	Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. J. Am. Medical Informatics Assoc. Hanyin Wang, Yikuan Li, Meghan R. Hutch, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
2022	J	`jnl`	AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
2022	J	`jnl`	An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
2022	J	`jnl`	Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi
2022	J	`jnl`	Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences. CoRR Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo
2022	J	`jnl`	Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants. BMC Medical Informatics Decis. Mak. Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo
2022	J	`jnl`	Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. CoRR Hanyin Wang, Meghan R. Hutch, Yikuan Li, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo
2022	J	`jnl`	Multimodal Machine Learning in Precision Health. CoRR Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
2022	J	`jnl`	Multimodal machine learning in precision health: A scoping review. npj Digit. Medicine Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo
2022	J	`jnl`	Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records. CoRR Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi
2021	J	`jnl`	An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi
2021	J	`jnl`	Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients. CoRR Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo
2021	—	`conf`	Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. BIBM Jiyoung Shin, Yikuan Li, Yuan Luo
2021	J	`jnl`	Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. CoRR Jiyoung Shin, Yikuan Li, Yuan Luo
2021	J	`jnl`	Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi
2021	J	`jnl`	Risk factor identification for incident heart failure using neural network distillation and variable selection. CoRR Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Dexter Canoy, Abdelaali Hassaïne, Thomas Lukasiewicz
2021	J	`jnl`	Transfer Learning in Electronic Health Records through Clinical Concept Embedding. CoRR José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi
2020	—	`conf`	A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. BIBM Yikuan Li, Hanyin Wang, Yuan Luo
2020	J	`jnl`	A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. CoRR Yikuan Li, Hanyin Wang, Yuan Luo
2020	J	`jnl`	Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi
2020	J	`jnl`	Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. J. Biomed. Informatics Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Mariagrazia Zottoli, Kazem Rahimi, Gholamreza Salimi Khorshidi
2020	J	`jnl`	Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network. Artif. Intell. Medicine Hanyin Wang, Yikuan Li, Seema A. Khan, Yuan Luo
2019	J	`jnl`	BEHRT: Transformer for Electronic Health Records. CoRR Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi
2019	J	`jnl`	Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. CoRR Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi Khorshidi
2019	—	`conf`	Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk. MedInfo Hanyin Wang, Yikuan Li, Hongyan Ning, John Wilkins, Donald Lloyd-Jones, Yuan Luo
2018	—	`conf`	Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. BIBM Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo
2018	J	`jnl`	Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. CoRR Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo