A Cooperative Scheduling Scheme of Local Cloud and Internet Cloud for Delay-Aware Mobile Cloud Computing. - Tianchu Zhao; Sheng Zhou 001; Xueying Guo; Yun Zhao 001; Zhisheng Niu (GLOBECOM Workshops, 2015)

Energy-efficient task offloading for multiuser mobile cloud computing. - Yun Zhao 001; Sheng Zhou 001; Tianchu Zhao; Zhisheng Niu (ICCC, 2015)

Pricing policy and computational resource provisioning for delay-aware mobile edge computing. - Tianchu Zhao; Sheng Zhou 001; Xueying Guo; Yun Zhao 001; Zhisheng Niu (ICCC, 2016)

A Bi-Directional Visible Light Communication System Based on DTMB-A. - Yangtian Yan; Bangcheng Sun; Yun Zhao 001; Zhenhui Huang; Hui Yang 007; Jian Song 004 (VTC Spring, 2016)

Cold Hard E-Cash: Friends and Vendors in the Venmo Digital Payments System. - Xinyi Zhang 003; Shiliang Tang; Yun Zhao 001; Gang Wang 011; Haitao Zheng 001; Ben Y. Zhao (ICWSM, 2017)

A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. - Yun Zhao 001; Elmer Guzman; Morgane Audouard; Zhuowei Cheng; Paul K. Hansma; Kenneth S. Kosik; Linda R. Petzold (ICDM (Posters), 2019)

An Auxiliary Classifier Generative Adversarial Framework for Relation Extraction. - Yun Zhao 001 (CoRR, 2019)

How Much Does It Hurt: A Deep Learning Framework for Chronic Pain Score Assessment. - Yun Zhao 001; Franklin Ly; Qinghang Hong; Zhuowei Cheng; Tyler Santander; Henry T. Yang; Paul K. Hansma; Linda R. Petzold (ICDM (Workshops), 2020)

Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. - Yun Zhao 001; Richard M. Jiang 002; Zhenni Xu; Elmer Guzman; Paul K. Hansma; Linda R. Petzold (CoRR, 2020)

Empirical Quantitative Analysis of COVID-19 Forecasting Models. - Yun Zhao 001; Yuqing Wang; 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; Linda R. Petzold (CoRR, 2021)

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

Multiple Organ Failure Prediction with Classifier-Guided Generative Adversarial Imputation Networks. - Xinlu Zhang; Yun Zhao 001; Rachael Callcut; Linda R. Petzold (CoRR, 2021)

Data Mining in Neuroscience and Healthcare. - Yun Zhao 001 (2021)

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

VREN: Volleyball Rally Dataset with Expression Notation Language. - Haotian Xia; Rhys Tracy; Yun Zhao 001; Erwan Fraisse; Yuan-Fang Wang; Linda R. Petzold (ICKG, 2022)

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

Enhancing Transformer Efficiency for Multivariate Time Series Classification. - Yuqing Wang; 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; Yuan-Fang Wang; Weining Shen (ICDM (Workshops), 2023)

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

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

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

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

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

SportQA: A Benchmark for Sports Understanding in Large Language Models. - Haotian Xia; Zhengbang Yang; Yuqing Wang; 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; Yun Zhao 001 (CoRR, 2024)

Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models. - Yuqing Wang; 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; 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; Yun Zhao 001; Linda R. Petzold (Pattern Recognit., 2024)