Yuqing Wang

29 papers A* 1Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models.
ICLR
Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-Fang Wang, Weining Shen, Hanjie Chen
2024 J jnl
An empirical study on the robustness of the segment anything model (SAM).
Pattern Recognit.
Yuqing Wang, Yun Zhao, Linda R. Petzold
2024 — conf
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records.
MLHC
Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard
2024 J jnl
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records.
CoRR
Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard
2024 J jnl
Language and Multimodal Models in Sports: A Survey of Datasets and Applications.
CoRR
Haotian Xia, Zhengbang Yang, Yun Zhao, Yuqing Wang, Jingxi Li, Rhys Tracy, Zhuangdi Zhu, Yuan-Fang Wang, Hanjie Chen, Weining Shen
2024 — conf
Metacognitive Prompting Improves Understanding in Large Language Models.
NAACL-HLT
Yuqing Wang, Yun Zhao
2024 J jnl
RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models.
CoRR
Yuqing Wang, Yun Zhao
2024 J jnl
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models.
CoRR
Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-Fang Wang, Weining Shen, Hanjie Chen
2024 — conf
SportQA: A Benchmark for Sports Understanding in Large Language Models.
NAACL-HLT
Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen
2024 J jnl
SportQA: A Benchmark for Sports Understanding in Large Language Models.
CoRR
Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen
2024 — conf
TRAM: Benchmarking Temporal Reasoning for Large Language Models.
ACL (Findings)
Yuqing Wang, Yun Zhao
2024 J jnl
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models.
CoRR
Yuqing Wang, Yun Zhao, Sara Alessandra Keller, Anne A. H. de Hond, Marieke M. van Buchem, Malvika Pillai, Tina Hernandez-Boussard
2023 — —
AI and Big Data in Health: Boosting Reliability and Efficiency in Predictive Healthcare Models
Yuqing Wang
2023 — conf
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera.
ICDM (Workshops)
Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen
2023 J jnl
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera.
CoRR
Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen
2023 J jnl
An Empirical Study on the Robustness of the Segment Anything Model (SAM).
CoRR
Yuqing Wang, Yun Zhao, Linda R. Petzold
2023 — conf
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding.
MLHC
Yuqing Wang, Yun Zhao, Linda R. Petzold
2023 J jnl
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding.
CoRR
Yuqing Wang, Yun Zhao, Linda R. Petzold
2023 J jnl
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models.
CoRR
Yuqing Wang, Yun Zhao
2023 J jnl
Metacognitive Prompting Improves Understanding in Large Language Models.
CoRR
Yuqing Wang, Yun Zhao
2023 J jnl
TRAM: Benchmarking Temporal Reasoning for Large Language Models.
CoRR
Yuqing Wang, Yun Zhao
2022 J jnl
Enhancing Transformer Efficiency for Multivariate Time Series Classification.
CoRR
Yuqing Wang, Yun Zhao, Linda R. Petzold
2022 J jnl
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis.
CoRR
Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold
2022 J jnl
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning.
CoRR
Yuqing Wang, Yun Zhao, Linda R. Petzold
2022 — conf
Predicting the need for blood transfusion in intensive care units with reinforcement learning.
BCB
Yuqing Wang, Yun Zhao, Linda R. Petzold
2021 J jnl
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients.
CoRR
Yun Zhao, Qinghang Hong, Xinlu Zhang, Yu Deng, Yuqing Wang, Linda R. Petzold
2021 J jnl
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients.
CoRR
Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold
2021 — conf
Empirical Quantitative Analysis of COVID-19 Forecasting Models.
ICDM (Workshops)
Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold
2021 J jnl
Empirical Quantitative Analysis of COVID-19 Forecasting Models.
CoRR
Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold