| Are large language models ready for healthcare? a comparative study on clinical language understanding Y Wang, Y Zhao, L Petzold Machine Learning for Healthcare Conference, 804-823, 2023 | 67* | 2023 |
| Metacognitive prompting improves understanding in large language models Y Wang, Y Zhao NAACL 2024, 2023 | 30 | 2023 |
| An empirical study on the robustness of the segment anything model (sam) Y Wang, Y Zhao, L Petzold Pattern Recognition, 110685, 2024 | 28 | 2024 |
| Tram: Benchmarking temporal reasoning for large language models Y Wang, Y Zhao Findings of ACL 2024, 2023 | 28 | 2023 |
| Bertsurv: Bert-based survival models for predicting outcomes of trauma patients Y Zhao, Q Hong, X Zhang, Y Deng, Y Wang, L Petzold ICDM 2021, 2021 | 27 | 2021 |
| Gemini in reasoning: Unveiling commonsense in multimodal large language models Y Wang, Y Zhao arXiv preprint arXiv:2312.17661, 2023 | 26 | 2023 |
| Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis Y Wang, Y Zhao, R Callcut, L Petzold ICDM 2022, 2022 | 16 | 2022 |
| SportQA: A Benchmark for Sports Understanding in Large Language Models H Xia, Z Yang, Y Wang, R Tracy, Y Zhao, D Huang, Z Chen, Y Zhu, ... NAACL 2024, 2024 | 10 | 2024 |
| Empirical quantitative analysis of covid-19 forecasting models Y Zhao, Y Wang, J Liu, H Xia, Z Xu, Q Hong, Z Zhou, L Petzold International Conference on Data Mining Workshops (ICDMW), 517-526, 2021 | 10 | 2021 |
| Predicting the need for blood transfusion in intensive care units with reinforcement learning Y Wang, Y Zhao, L Petzold Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 6 | 2022 |
| Enhancing Transformer Efficiency for Multivariate Time Series Classification Y Wang, Y Zhao, L Petzold ICDM 2022, 2022 | 5 | 2022 |
| RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models Y Wang, Y Zhao arXiv preprint arXiv:2406.11020, 2024 | 4 | 2024 |
| FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records Y Wang, M Pillai, Y Zhao, C Curtin, T Hernandez-Boussard arXiv preprint arXiv:2402.00955, 2024 | 4 | 2024 |
| Empirical analysis of machine learning configurations for prediction of multiple organ failure in trauma patients Y Wang, Y Zhao, R Callcut, L Petzold ICDM 2021, 2021 | 4 | 2021 |
| Sportu: A comprehensive sports understanding benchmark for multimodal large language models H Xia, Z Yang, J Zou, R Tracy, Y Wang, C Lu, C Lai, Y He, X Shao, Z Xie, ... arXiv preprint arXiv:2410.08474, 2024 | 3 | 2024 |
| Language and Multimodal Models in Sports: A Survey of Datasets and Applications H Xia, Z Yang, Y Zhao, Y Wang, J Li, R Tracy, Z Zhu, Y Wang, H Chen, ... arXiv preprint arXiv:2406.12252, 2024 | 3 | 2024 |
| Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera H Xia, R Tracy, Y Zhao, Y Wang, YF Wang, W Shen 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1407-1416, 2023 | 3 | 2023 |
| PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction Y Wang, P Vijayaraghavan, E Degan EMNLP 2023, 2023 | 3 | 2023 |
| Improving postsurgical fall detection for older Americans using LLM-driven analysis of clinical narratives M Pillai, TL Blumke, J Studnia, Y Wang, ZP Veigulis, AD Ware, PJ Hoover, ... medRxiv, 2024 | 1 | 2024 |
| Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models Y Wang, Y Zhao, SA Keller, A de Hond, MM van Buchem, M Pillai, ... arXiv preprint arXiv:2406.12033, 2024 | 1 | 2024 |
Linda PetzoldProfessor, University of California Santa BarbaraVerified email at cs.ucsb.edu
