29 citations · 94 across the 18 of their papers we have counts for
18 papers
TRAM: Benchmarking Temporal Reasoning for Large Language Models
Yuqing Wang, Yun Zhao
Reasoning about time is essential for understanding the nuances of events described in natural language. Previous research on this topic has been limited in scope, characterized by…
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera
Haotian Xia, Rhys Tracy, Yun Zhao +3
This paper presents PathFinder and PathFinderPlus, two novel end-to-end computer vision frameworks designed specifically for advanced setting strategy classification in volleyball…
Metacognitive Prompting Improves Understanding in Large Language Models
Yuqing Wang, Yun Zhao
In Large Language Models (LLMs), there have been consistent advancements in task-specific performance, largely influenced by effective prompt design. Recent advancements in prompti…
An Empirical Study on the Robustness of the Segment Anything Model (SAM)
Yuqing Wang, Yun Zhao, Linda Petzold
The Segment Anything Model (SAM) is a foundation model for general image segmentation. Although it exhibits impressive performance predominantly on natural images, understanding it…
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
Yuqing Wang, Yun Zhao, Linda Petzold
Large language models (LLMs) have made significant progress in various domains, including healthcare. However, the specialized nature of clinical language understanding tasks prese…
VREN: Volleyball Rally Dataset with Expression Notation Language
Haotian Xia, Rhys Tracy, Yun Zhao +3
This research is intended to accomplish two goals: The first goal is to curate a large and information rich dataset that contains crucial and succinct summaries on the players' act…
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning
Yuqing Wang, Yun Zhao, Linda Petzold
As critically ill patients frequently develop anemia or coagulopathy, transfusion of blood products is a frequent intervention in the Intensive Care Units (ICU). However, inappropr…
Enhancing Transformer Efficiency for Multivariate Time Series Classification
Yuqing Wang, Yun Zhao, Linda Petzold
Most current multivariate time series (MTS) classification algorithms focus on improving the predictive accuracy. However, for large-scale (either high-dimensional or long-sequenti…
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis
Yuqing Wang, Yun Zhao, Rachael Callcut +1
Sepsis is a leading cause of death in the Intensive Care Units (ICU). Early detection of sepsis is critical for patient survival. In this paper, we propose a multimodal Transformer…
Empirical Quantitative Analysis of COVID-19 Forecasting Models
Yun Zhao, Yuqing Wang, Junfeng Liu +5
COVID-19 has been a public health emergency of international concern since early 2020. Reliable forecasting is critical to diminish the impact of this disease. To date, a large num…
Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks
Xinlu Zhang, Yun Zhao, Rachael Callcut +1
Multiple organ failure (MOF) is a severe syndrome with a high mortality rate among Intensive Care Unit (ICU) patients. Early and precise detection is critical for clinicians to mak…
Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
Yuqing Wang, Yun Zhao, Rachael Callcut +1
Multiple organ failure (MOF) is a life-threatening condition. Due to its urgency and high mortality rate, early detection is critical for clinicians to provide appropriate treatmen…
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
Yun Zhao, Qinghang Hong, Xinlu Zhang +3
Survival analysis is a technique to predict the times of specific outcomes, and is widely used in predicting the outcomes for intensive care unit (ICU) trauma patients. Recently, d…
How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment
Yun Zhao, Franklin Ly, Qinghang Hong +5
Chronic pain is defined as pain that lasts or recurs for more than 3 to 6 months, often long after the injury or illness that initially caused the pain has healed. The "gold standa…
Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings
Yun Zhao, Richard Jiang, Zhenni Xu +3
Multi-electrode arrays (MEAs) can record extracellular action potentials (also known as 'spikes') from hundreds or thousands of neurons simultaneously. Inference of a functional ne…
An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction
Yun Zhao
Relation extraction models suffer from limited qualified training data. Using human annotators to label sentences is too expensive and does not scale well especially when dealing w…
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings
Yun Zhao, Elmer Guzman, Morgane Audouard +4
Multi-Electrode Arrays (MEAs) have been widely used to record neuronal activities, which could be used in the diagnosis of gene defects and drug effects. In this paper, we address…
A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing
Tianchu Zhao, Sheng Zhou, Xueying Guo +2
With the proliferation of mobile applications, Mobile Cloud Computing (MCC) has been proposed to help mobile devices save energy and improve computation performance. To further imp…