Yuqing Wang

According to our database, Yuqing Wang authored at least 18 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An empirical study on the robustness of the segment anything model (SAM).

Yuqing Wang, Yun Zhao, Linda R. Petzold

Pattern Recognit., 2024

Language and Multimodal Models in Sports: A Survey of Datasets and Applications.

Haotian Xia, Zhengbang Yang, Yun Zhao, Yuqing Wang, Jingxi Li, Rhys Tracy, Zhuangdi Zhu, Yuan-Fang Wang, Hanjie Chen, Weining Shen

CoRR, 2024

Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models.

Yuqing Wang, Yun Zhao, Sara Alessandra Keller, Anne A. H. de Hond, Marieke M. van Buchem, Malvika Pillai, Tina Hernandez-Boussard

CoRR, 2024

RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models.

Yuqing Wang, Yun Zhao

CoRR, 2024

SportQA: A Benchmark for Sports Understanding in Large Language Models.

Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Metacognitive Prompting Improves Understanding in Large Language Models.

Yuqing Wang, Yun Zhao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records.

Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M. Curtin, Tina Hernandez-Boussard

Proceedings of the Machine Learning for Healthcare Conference, 2024

TRAM: Benchmarking Temporal Reasoning for Large Language Models.

Yuqing Wang, Yun Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

AI and Big Data in Health: Boosting Reliability and Efficiency in Predictive Healthcare Models

Yuqing Wang

PhD thesis, 2023

Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models.

Yuqing Wang, Yun Zhao

CoRR, 2023

Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding.

Yuqing Wang, Yun Zhao, Linda R. Petzold

Proceedings of the Machine Learning for Healthcare Conference, 2023

Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera.

Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Enhancing Transformer Efficiency for Multivariate Time Series Classification.

Yuqing Wang, Yun Zhao, Linda R. Petzold

CoRR, 2022

Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis.

Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold

CoRR, 2022

Predicting the need for blood transfusion in intensive care units with reinforcement learning.

Yuqing Wang, Yun Zhao, Linda R. Petzold

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients.

Yuqing Wang, Yun Zhao, Rachael Callcut, Linda R. Petzold

CoRR, 2021

BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients.

Yun Zhao, Qinghang Hong, Xinlu Zhang, Yu Deng, Yuqing Wang, Linda R. Petzold

CoRR, 2021

Empirical Quantitative Analysis of COVID-19 Forecasting Models.

Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold

Proceedings of the 2021 International Conference on Data Mining, 2021