Empirical Quantitative Analysis of COVID-19 Forecasting Models. - Yun Zhao 001; Yuqing Wang 004; Junfeng Liu; Haotian Xia; Zhenni Xu; Qinghang Hong; Zhiyang Zhou; Linda R. Petzold (ICDM (Workshops), 2021)

BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients. - Yun Zhao 001; Qinghang Hong; Xinlu Zhang; Yu Deng; Yuqing Wang 004; Linda R. Petzold (CoRR, 2021)

Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients. - Yuqing Wang 004; Yun Zhao 001; Rachael Callcut; Linda R. Petzold (CoRR, 2021)

Predicting the need for blood transfusion in intensive care units with reinforcement learning. - Yuqing Wang 004; Yun Zhao 001; Linda R. Petzold (BCB, 2022)

Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis. - Yuqing Wang 004; Yun Zhao 001; Rachael Callcut; Linda R. Petzold (CoRR, 2022)

Enhancing Transformer Efficiency for Multivariate Time Series Classification. - Yuqing Wang 004; Yun Zhao 001; Linda R. Petzold (CoRR, 2022)

Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera. - Haotian Xia; Rhys Tracy; Yun Zhao 001; Yuqing Wang 004; Yuan-Fang Wang; Weining Shen (ICDM (Workshops), 2023)

Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding. - Yuqing Wang 004; Yun Zhao 001; Linda R. Petzold (MLHC, 2023)

Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models. - Yuqing Wang 004; Yun Zhao 001 (CoRR, 2023)

AI and Big Data in Health: Boosting Reliability and Efficiency in Predictive Healthcare Models - Yuqing Wang 004 (2023)

TRAM: Benchmarking Temporal Reasoning for Large Language Models. - Yuqing Wang 004; Yun Zhao 001 (ACL (Findings), 2024)

FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records. - Yuqing Wang 004; Malvika Pillai; Yun Zhao 001; Catherine M. Curtin; Tina Hernandez-Boussard (MLHC, 2024)

Metacognitive Prompting Improves Understanding in Large Language Models. - Yuqing Wang 004; Yun Zhao 001 (NAACL-HLT, 2024)

SportQA: A Benchmark for Sports Understanding in Large Language Models. - Haotian Xia; Zhengbang Yang; Yuqing Wang 004; Rhys Tracy; Yun Zhao 001; Dongdong Huang; Zezhi Chen; Yan Zhu; Yuan-Fang Wang; Weining Shen (NAACL-HLT, 2024)

RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models. - Yuqing Wang 004; Yun Zhao 001 (CoRR, 2024)

Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. - Yuqing Wang 004; Yun Zhao 001; Sara Alessandra Keller; Anne A. H. de Hond; Marieke M. van Buchem; Malvika Pillai; Tina Hernandez-Boussard (CoRR, 2024)

Language and Multimodal Models in Sports: A Survey of Datasets and Applications. - Haotian Xia; Zhengbang Yang; Yun Zhao 001; Yuqing Wang 004; Jingxi Li; Rhys Tracy; Zhuangdi Zhu; Yuan-Fang Wang; Hanjie Chen; Weining Shen (CoRR, 2024)

An empirical study on the robustness of the segment anything model (SAM). - Yuqing Wang 004; Yun Zhao 001; Linda R. Petzold (Pattern Recognit., 2024)

SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models. - Haotian Xia; Zhengbang Yang; Junbo Zou; Rhys Tracy; Yuqing Wang 004; Chi Lu; Christopher Lai; Yanjun He; Xun Shao; Zhuoqing Xie; Yuan-Fang Wang; Weining Shen; et al. (ICLR, 2025)