Feature extraction using evolutionary weighted principal component analysis. - Nan Liu 003; Han Wang 001 (SMC, 2005)

Face Recognition with Weighted Kernel Principal Component Analysis. - Nan Liu 003; Han Wang 001; Wei-Yun Yau (ICARCV, 2006)

Feature Extraction with Genetic Algorithms Based Nonlinear Principal Component Analysis for Face Recognition. - Nan Liu 003; Han Wang 001 (ICPR (3), 2006)

Extraction of hybrid trace features with evolutionary computation for face recognition. - Nan Liu 003; Han Wang 001 (IEEE Congress on Evolutionary Computation, 2007)

Classification of transformed face images with majority voting. - Nan Liu 003; Han Wang 001 (SMC, 2007)

Feature selection in frequency domain and its application to face recognition. - Nan Liu 003; Han Wang 001 (IJCNN, 2008)

Improving predictive accuracy by evolving feature selection for face recognition. - Nan Liu 003; Han Wang 001 (IEICE Electron. Express, 2008)

Modeling Images With Multiple Trace Transforms for Pattern Analysis. - Nan Liu 003; Han Wang 001 (IEEE Signal Process. Lett., 2009)

Ensemble Based Extreme Learning Machine. - Nan Liu 003; Han Wang 001 (IEEE Signal Process. Lett., 2010)

Patient Outcome Prediction with Heart Rate Variability and Vital Signs. - Nan Liu 003; Zhiping Lin 001; Zhixiong Koh; Guang-Bin Huang; Wee Ser; Marcus Eng Hock Ong (J. Signal Process. Syst., 2011)

Weighted principal component extraction with genetic algorithms. - Nan Liu 003; Han Wang 001 (Appl. Soft Comput., 2012)

Voting based extreme learning machine. - Jiuwen Cao; Zhiping Lin 001; Guang-Bin Huang; Nan Liu 003 (Inf. Sci., 2012)

An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction. - Nan Liu 003; Zhiping Lin 001; Jiuwen Cao; Zhixiong Koh; Tongtong Zhang; Guang-Bin Huang; Wee Ser; Marcus Eng Hock Ong (IEEE Trans. Inf. Technol. Biomed., 2012)

Evolutionary Extreme Learning Machine and Its Application to Image Analysis. - Nan Liu 003; Han Wang 001 (J. Signal Process. Syst., 2013)

Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection. - Nan Liu 003; Zhi Koh; Junyang Goh; Zhiping Lin 001; Benjamin Haaland; Boon Ting; Marcus Eng Hock Ong (BMC Medical Informatics Decis. Mak., 2014)

Risk Scoring for Prediction of Acute Cardiac Complications from Imbalanced Clinical Data. - Nan Liu 003; Zhixiong Koh; Eric Chern-Pin Chua; Licia Mei-Ling Tan; Zhiping Lin 001; Bilal Mirza; Marcus Eng Hock Ong (IEEE J. Biomed. Health Informatics, 2014)

Landmark recognition via sparse representation. - Jiuwen Cao; Yanfei Zhao; Xiaoping Lai; Tao Chen; Nan Liu 003; Bilal Mirza; Zhiping Lin 001 (DSP, 2015)

Analysis of patient outcome using ECG and extreme learning machine ensemble. - Nan Liu 003; Jiuwen Cao; Zhixiong Koh; Zhiping Lin 001; Marcus Eng Hock Ong (DSP, 2015)

Effects of two new features of approximate entropy and sample entropy on cardiac arrest prediction. - Yumeng Gao; Zhiping Lin 001; Tongtong Zhang; Nan Liu 003; Tianchi Liu 001; Wee Ser; Zhixiong Koh; Marcus Eng Hock Ong (ISCAS, 2015)

Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients. - Tianchi Liu 001; Zhiping Lin 001; Marcus Eng Hock Ong; Zhixiong Koh; Pin Pin Pek; Yong Kiang Yeo; Beom-Seok Oh; Andrew Fu Wah Ho; Nan Liu 003 (Comput. Biol. Medicine, 2015)

Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift. - Bilal Mirza; Zhiping Lin 001; Nan Liu 003 (Neurocomputing, 2015)

Landmark recognition with sparse representation classification and extreme learning machine. - Jiuwen Cao; Yanfei Zhao; Xiaoping Lai; Marcus Eng Hock Ong; Chun Yin; Zhixiong Koh; Nan Liu 003 (J. Frankl. Inst., 2015)

Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events. - Nan Liu 003; Jeffrey Tadashi Sakamoto; Jiuwen Cao; Zhixiong Koh; Andrew Fu Wah Ho; Zhiping Lin 001; Marcus Eng Hock Ong (Cogn. Comput., 2017)

Extreme learning machine based mutual information estimation with application to time-series change-points detection. - Beom-Seok Oh; Lei Sun 006; Chung Soo Ahn; Yong Kiang Yeo; Yan Yang; Nan Liu 003; Zhiping Lin 001 (Neurocomputing, 2017)

FAM-FACE-SG: a score for risk stratification of frequent hospital admitters. - Lian Leng Low; Nan Liu 003; Kheng Hock Lee; Marcus Eng Hock Ong; Sijia Wang; Xuan Jing; Julian Thumboo (BMC Medical Informatics Decis. Mak., 2017)

Development of a Radiology Decision Support System for the Classification of MRI Brain Scans. - Alwin Yaoxian Zhang; Sean Shao Wei Lam; Nan Liu 003; Yan Pang; Ling Ling Chan; Phua Hwee Tang (BDCAT, 2018)

Predictive Modeling of Hospital Readmissions with Sparse Bayesian Extreme Learning Machine. - Nan Liu 003; Lian Leng Low; Sean Shao Wei Lam; Julian Thumboo; Marcus Eng Hock Ong (ELM, 2018)

Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department. - Calvin Chiew; Han Wang 001; Marcus Eng Hock Ong; Ting Hway Wong; Zhixiong Koh; Nan Liu 003; Mengling Feng (AMIA, 2019)

Prediction of ROSC After Cardiac Arrest Using Machine Learning. - Nan Liu 003; Andrew Fu Wah Ho; Pin Pin Pek; Tsung-Chien Lu; Pairoj Khruekarnchana; Kyoung Jun Song; Hideharu Tanaka; Ghulam Yasin Naroo; Han Nee Gan; Zhixiong Koh; Huei-Ming Ma; Marcus Eng Hock Ong (MIE, 2020)

Development and Validation of a Survival Score for the Emergency Department in Singapore. - Feng Xie 004; Bibhas Chakraborty; Nan Liu 003; Marcus Eng Hock Ong (AMIA, 2021)

Shapley variable importance clouds for interpretable machine learning. - Yilin Ning; Marcus Eng Hock Ong; Bibhas Chakraborty; Benjamin Alan Goldstein; Daniel Shu Wei Ting; Roger Vaughan; Nan Liu 003 (CoRR, 2021)

HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis. - Chenglin Niu; Dagang Guo; Marcus Eng Hock Ong; Zhixiong Koh; Andrew Fu Wah Ho; Zhiping Lin 001; Chengyu Liu 001; Gari D. Clifford; Nan Liu 003 (CoRR, 2021)

Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records. - Feng Xie 004; Jun Zhou 014; Jin Wee Lee; Mingrui Tan; Siqi Li 004; Logasan S/O Rajnthern; Marcel Lucas Chee; Bibhas Chakraborty; An-Kwok Ian Wong; Alon Dagan; Marcus Eng Hock Ong; Fei Gao; et al. (CoRR, 2021)

A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study. - Yilin Ning; Siqi Li 004; Marcus Eng Hock Ong; Feng Xie 004; Bibhas Chakraborty; Daniel Shu Wei Ting; Nan Liu 003 (AMIA, 2022)

AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes. - Seyed Ehsan Saffari; Yilin Ning; Feng Xie 004; Bibhas Chakraborty; Victor Volovici; Roger Vaughan; Marcus Eng Hock Ong; Nan Liu 003 (AMIA, 2022)

Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records. - Feng Xie 004; Jun Zhou 014; Jin Wee Lee; Mingrui Tan; Siqi Li 004; Logasan S/O Rajnthern; Marcel Lucas Chee; Bibhas Chakraborty; An-Kwok Ian Wong; Alon Dagan; Marcus Eng Hock Ong; Fei Gao; et al. (AMIA, 2022)

Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making. - Mingxuan Liu; Yilin Ning; Han Yuan; Marcus Eng Hock Ong; Nan Liu 003 (CoRR, 2022)

Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics. - Madhurima Panja; Tanujit Chakraborty; Uttam Kumar 001; Nan Liu 003 (CoRR, 2022)

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. - Mingxuan Liu; Siqi Li 004; Han Yuan; Marcus Eng Hock Ong; Yilin Ning; Feng Xie 004; Seyed Ehsan Saffari; Victor Volovici; Bibhas Chakraborty; Nan Liu 003 (CoRR, 2022)

An ensemble neural network approach to forecast Dengue outbreak based on climatic condition. - Madhurima Panja; Tanujit Chakraborty; Sk. Shahid Nadim; Indrajit Ghosh; Uttam Kumar 001; Nan Liu 003 (CoRR, 2022)

Shapley variable importance cloud for machine learning models. - Yilin Ning; Mingxuan Liu; Nan Liu 003 (CoRR, 2022)

AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. - Feng Xie 004; Yilin Ning; Han Yuan; Benjamin Alan Goldstein; Marcus Eng Hock Ong; Nan Liu 003; Bibhas Chakraborty (J. Biomed. Informatics, 2022)

Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. - Feng Xie 004; Han Yuan; Yilin Ning; Marcus Eng Hock Ong; Mengling Feng; Wynne Hsu; Bibhas Chakraborty; Nan Liu 003 (J. Biomed. Informatics, 2022)

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. - Han Yuan; Feng Xie 004; Marcus Eng Hock Ong; Yilin Ning; Marcel Lucas Chee; Seyed Ehsan Saffari; Hairil Rizal Abdullah; Benjamin Alan Goldstein; Bibhas Chakraborty; Nan Liu 003 (J. Biomed. Informatics, 2022)

Shapley variable importance cloud for interpretable machine learning. - Yilin Ning; Marcus Eng Hock Ong; Bibhas Chakraborty; Benjamin Alan Goldstein; Daniel Shu Wei Ting; Roger Vaughan; Nan Liu 003 (Patterns, 2022)

A roadmap to fair and trustworthy prediction model validation in healthcare. - Yilin Ning; Victor Volovici; Marcus Eng Hock Ong; Benjamin Alan Goldstein; Nan Liu 003 (CoRR, 2023)

Towards clinical AI fairness: A translational perspective. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (CoRR, 2023)

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. - Yilin Ning; Salinelat Teixayavong; Yuqing Shang; Julian Savulescu; Vaishaanth Nagaraj; Di Miao; Mayli Mertens; Daniel Shu Wei Ting; Jasmine Chiat Ling Ong; Mingxuan Liu; Jiuwen Cao; Michael Dunn; et al. (CoRR, 2023)

Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. - Siqi Li 004; Di Miao; Qiming Wu 001; Chuan Hong; Danny D'Agostino; Xin Li 079; Yilin Ning; Yuqing Shang; Huazhu Fu; Marcus Eng Hock Ong; Hamed Haddadi; Nan Liu 003 (CoRR, 2023)

Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation. - Han Yuan; Chuan Hong; Nguyen Tuan Anh Tran; Xinxing Xu; Nan Liu 003 (CoRR, 2023)

A translational perspective towards clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (npj Digit. Medicine, 2023)

HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis. - Chenglin Niu; Dagang Guo; Marcus Eng Hock Ong; Zhixiong Koh; Guerry Alexiane Laure Marie-Alix; Andrew Fu Wah Ho; Zhiping Lin 001; Chengyu Liu 001; Gari D. Clifford; Nan Liu 003 (J. Open Source Softw., 2023)

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. - Mingxuan Liu; Siqi Li 004; Han Yuan; Marcus Eng Hock Ong; Yilin Ning; Feng Xie 004; Seyed Ehsan Saffari; Yuqing Shang; Victor Volovici; Bibhas Chakraborty; Nan Liu 003 (Artif. Intell. Medicine, 2023)

A scoping review of the clinical application of machine learning in data-driven population segmentation analysis. - Pinyan Liu; Ziwen Wang; Nan Liu 003; Marco Aurélio Peres (J. Am. Medical Informatics Assoc., 2023)

Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. - Madhurima Panja; Tanujit Chakraborty; Uttam Kumar 001; Nan Liu 003 (Neural Networks, 2023)

FedScore: A privacy-preserving framework for federated scoring system development. - Siqi Li 004; Yilin Ning; Marcus Eng Hock Ong; Bibhas Chakraborty; Chuan Hong; Feng Xie 004; Han Yuan; Mingxuan Liu; Daniel M. Buckland; Yong Chen 016; Nan Liu 003 (J. Biomed. Informatics, 2023)

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. - Siqi Li 004; Pinyan Liu; Gustavo G. Nascimento; Xinru Wang; Fabio Renato Manzolli Leite; Bibhas Chakraborty; Chuan Hong; Yilin Ning; Feng Xie 004; Zhen Ling Teo; Daniel Shu Wei Ting; Hamed Haddadi; et al. (J. Am. Medical Informatics Assoc., 2023)

Evaluating the Efficacy of Federated Scoring Systems with Heterogeneous Electronic Health Records. - Qiming Wu 001; Siqi Li 004; Di Miao; Yuqing Shang; Xin Li 079; Nan Liu 003 (Tiny Papers @ ICLR, 2024)

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias. - Yuhe Ke; Rui Yang 016; Sui An Lie; Taylor Xin Yi Lim; Hairil Rizal Abdullah; Daniel Shu Wei Ting; Nan Liu 003 (CoRR, 2024)

Development and Testing of Retrieval Augmented Generation in Large Language Models - A Case Study Report. - Yuhe Ke; Liyuan Jin; Kabilan Elangovan; Hairil Rizal Abdullah; Nan Liu 003; Alex Tiong Heng Sia; Chai Rick Soh; Joshua Yi Min Tung; Jasmine Chiat Ling Ong; Daniel Shu Wei Ting (CoRR, 2024)

Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4. - Ting Fang Tan; Kabilan Elangovan; Liyuan Jin; Yao Jie; Li Yong; Joshua Lim; Stanley Poh; Wei Yan Ng; Daniel Yan Zheng Lim; Yuhe Ke; Nan Liu 003; Daniel Shu Wei Ting (CoRR, 2024)

Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data. - Siqi Li 004; Yuqing Shang; Ziwen Wang; Qiming Wu 001; Chuan Hong; Yilin Ning; Di Miao; Marcus Eng Hock Ong; Bibhas Chakraborty; Nan Liu 003 (CoRR, 2024)

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare. - Mingxuan Liu; Yilin Ning; Yuhe Ke; Yuqing Shang; Bibhas Chakraborty; Marcus Eng Hock Ong; Roger Vaughan; Nan Liu 003 (CoRR, 2024)

Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. - Ziwen Wang; Jin Wee Lee; Tanujit Chakraborty; Yilin Ning; Mingxuan Liu; Feng Xie 004; Marcus Eng Hock Ong; Nan Liu 003 (CoRR, 2024)

Towards Clinical AI Fairness: Filling Gaps in the Puzzle. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; et al. (CoRR, 2024)

Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine. - Rui Yang 016; Yilin Ning; Emilia Keppo; Mingxuan Liu; Chuan Hong; Danielle S. Bitterman; Jasmine Chiat Ling Ong; Daniel Shu Wei Ting; Nan Liu 003 (CoRR, 2024)

A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability. - Ting Fang Tan; Kabilan Elangovan; Jasmine Chiat Ling Ong; Nigam Shah; Joseph Jao-Yiu Sung; Tien Yin Wong; Lan Xue; Nan Liu 003; Haibo Wang; Chang Fu Kuo; Simon Chesterman; Zee Kin Yeong; et al. (CoRR, 2024)

Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Biomedical Data Analysis. - Siqi Li 004; Xin Li 079; Kunyu Yu; Di Miao; Mingcheng Zhu 003; Mengying Yan; Yuhe Ke; Danny D'Agostino; Yilin Ning; Qiming Wu 001; Ziwen Wang; Yuqing Shang; et al. (CoRR, 2024)

Lightweight Large Language Model for Medication Enquiry: Med-Pal. - Kabilan Elangovan; Jasmine Chiat Ling Ong; Liyuan Jin; Benjamin Jun Jie Seng; Yu Heng Kwan; Lit Soo Tan; Ryan Jian Zhong; Justina Koi Li Ma; Yuhe Ke; Nan Liu 003; Kathleen M. Giacomini; Daniel Shu Wei Ting (CoRR, 2024)

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness. - Yuhe Ke; Liyuan Jin; Kabilan Elangovan; Hairil Rizal Abdullah; Nan Liu 003; Alex Tiong Heng Sia; Chai Rick Soh; Joshua Yi Min Tung; Jasmine Chiat Ling Ong; Chang Fu Kuo; Shao-Chun Wu; Vesela P. Kovacheva; et al. (CoRR, 2024)

FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction. - Siqi Li 004; Qiming Wu 001; Xin Li 079; Di Miao; Chuan Hong; Wenjun Gu; Yuqing Shang; Yohei Okada; Michael Hao Chen; Mengying Yan; Yilin Ning; Marcus Eng Hock Ong; et al. (CoRR, 2024)

Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) - a Large Language Model Chatbot for Perioperative Medicine. - Yuhe Ke; Liyuan Jin; Kabilan Elangovan; Bryan Wen Xi Ong; Chin Yang Oh; Jacqueline Sim; Kenny Wei-Tsen Loh; Chai Rick Soh; Jonathan Ming Hua Cheng; Aaron Kwang Yang Lee; Daniel Shu Wei Ting; Nan Liu 003; et al. (CoRR, 2024)

Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification. - Han Yuan; Chuan Hong; Pengtao Jiang; Gangming Zhao; Nguyen Tuan Anh Tran; Xinxing Xu; Yet Yen Yan; Nan Liu 003 (J. Biomed. Informatics, 2024)

Disparities in clinical studies of AI enabled applications from a global perspective. - Rui Yang 016; Sabarinath Vinod Nair; Yuhe Ke; Danny D'Agostino; Mingxuan Liu; Yilin Ning; Nan Liu 003 (npj Digit. Medicine, 2024)

FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare. - Mingxuan Liu; Yilin Ning; Yuhe Ke; Yuqing Shang; Bibhas Chakraborty; Marcus Eng Hock Ong; Roger Vaughan; Nan Liu 003 (Patterns, 2024)

FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records. - Siqi Li 004; Mengying Yan; Ruizhi Yuan; Molei Liu; Nan Liu 003; Chuan Hong (J. Biomed. Informatics, 2025)

Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness. - Yuhe Ke; Liyuan Jin; Kabilan Elangovan; Hairil Rizal Abdullah; Nan Liu 003; Alex Tiong Heng Sia; Chai Rick Soh; Joshua Yi Min Tung; Jasmine Chiat Ling Ong; Chang Fu Kuo; Shao-Chun Wu; Vesela P. Kovacheva; et al. (npj Digit. Medicine, 2025)

Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trial. - Yuhe Ke; Bernard Soon Yang Ong; Liyuan Jin; Jacqueline Sim; Chi Ho Chan; Chai Rick Soh; Danny Jon Nian Wong; Nan Liu 003; Ban Leong Sng; Daniel Shu Wei Ting; Su Qian Yeo; Marcus Eng Hock Ong; et al. (npj Digit. Medicine, 2025)

A scoping review and evidence gap analysis of clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jingchi Liao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; et al. (npj Digit. Medicine, 2025)

A scoping review on generative AI and large language models in mitigating medication related harm. - Jasmine Chiat Ling Ong; Michael Hao Chen; Ning Ng; Kabilan Elangovan; Nichole Yue Ting Tan; Liyuan Jin; Qihuang Xie; Daniel Shu Wei Ting; Rosa Rodriguez-Monguio; David W. Bates; Nan Liu 003 (npj Digit. Medicine, 2025)

⁠Advancing ethical AI in healthcare through interpretability. - Yilin Ning; Mingxuan Liu; Nan Liu 003 (Patterns, 2025)

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action. - Jasmine Chiat Ling Ong; Yilin Ning; Mingxuan Liu; Yian Ma; Zhao Liang; Kuldev Singh; Robert T. Chang; Silke Vogel; John CW Lim; Iris Siu Kwan Tan; Oscar Freyer; Stephen Gilbert; et al. (CoRR, 2025)

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. - Weihao Xuan; Rui Yang 016; Heli Qi; Qingcheng Zeng; Yunze Xiao; Yun Xing; Junjue Wang; Huitao Li; Xin Li 079; Kunyu Yu; Nan Liu 003; Qingyu Chen 001; et al. (CoRR, 2025)

Enabling Inclusive Systematic Reviews: Incorporating Preprint Articles with Large Language Model-Driven Evaluations. - Rui Yang 016; Jiayi Tong; Haoyuan Wang; Hui Huang; Ziyang Hu; Peiyu Li; Nan Liu 003; Christopher J. Lindsell; Michael J. Pencina; Yong Chen 016; Chuan Hong (CoRR, 2025)

seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness. - Yilin Ning; Yian Ma; Mingxuan Liu; Xin Li 079; Nan Liu 003 (CoRR, 2025)

SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation. - Wangxuan Fan; Siqi Li 004; Doudou Zhou; Yohei Okada; Chuan Hong; Molei Liu; Nan Liu 003 (CoRR, 2025)

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine. - Rui Yang 016; Huitao Li; Matthew Yu Heng Wong; Yuhe Ke; Xin Li 079; Kunyu Yu; Jingchi Liao; Jonathan Chong Kai Liew; Sabarinath Vinod Nair; Jasmine Chiat Ling Ong; Irene Li; Douglas Teodoro; et al. (CoRR, 2025)

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM). - Yang Zhou 017; Chrystie Wan Ning Quek; Jun Zhou 014; Yan Wang 015; Yang Bai; Yuhe Ke; Jie Yao; Laura Gutierrez; Zhen Ling Teo; Darren Shu Jeng Ting; Brian T. Soetikno; Christopher S. Nielsen; et al. (CoRR, 2025)

Benchmarking Foundation Models with Multimodal Public Electronic Health Records. - Kunyu Yu; Rui Yang 016; Jingchi Liao; Siqi Li 004; Huitao Li; Irene Li; Yifan Peng; Rishikesan Kamaleswaran; Nan Liu 003 (CoRR, 2025)