May D. Wang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 99

Top Venues

Publications

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR (2024)
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl J. Yang, May D. Wang
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR (2024)
Hang Wu, Wenqi Shi, May D. Wang
Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR (2024)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR (2024)
Micky C. Nnamdi, Wenqi Shi, Ben Junior Tamo, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang
Concept Bottleneck Model for Adolescent Idiopathic Scoliosis Patient Reported Outcomes Prediction. BHI (2023)
Felipe O. Giuste, Ryan Sequeira, Vikranth Keerthipati, Peter Lais, Ali Mirzazadeh, Arshawn Mohseni, Yuanda Zhu, Wenqi Shi, Benoit Marteau, Yishan Zhong, Li Tong, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection. J. Biomed. Informatics 139 (2023)
Amritpal Singh, Wenqi Shi, May D. Wang
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning. CoRR (2023)
Andrew Hornback, Yuanda Zhu, Monica Isgut, Wenqi Shi, Arjita Nema, Blake J. Anderson, May D. Wang
Latent Topic Extraction as a Source of Labeling in Natural Language Processing. BIBM (2023)
Cheng Ding, Jayden Myers, David Lin, Wenqi Shi, May D. Wang, Zewei Lei, Benoit Marteau
Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records. BIBM (2023)
Ben Junior Tamo, Micky C. Nnamdi, Lea Lesbats, Wenqi Shi, Yishan Zhong, May D. Wang
Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging Analysis. BIBM (2023)
Han Bao, Jie Deng, Shihao Xing, Yishan Zhong, Wenqi Shi, Benoit Marteau, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation. BHI (2023)
Xinling Li, Cheng Zhang, Wei-An Chen, Wenqi Shi, May D. Wang
Identification of Single-Cell RNA Sequencing Molecular Signatures for COVID-19 Infection Severity Classification. BIBM (2023)
Amritpal Singh, Wenqi Shi, May D. Wang
Multi-Modal Deep Feature Integration for Alzheimer's Disease Staging. BIBM (2023)
Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. Frontiers Neuroinformatics 17 (2023)
Wenqi Shi, Mio Murakoso, Xiaoyan Guo, May D. Wang
Development of Interpretable Machine Learning Models for COVID-19 Drug Target Docking Scores Prediction. BIBM (2023)
Wenqi Shi, Mio Murakoso, Xiaoyan Guo, Linxi Xiong, Matthew Chen, May D. Wang
Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets. BIBM (2023)
Yuanda Zhu, May D. Wang
Automated Seizure Detection using Transformer Models on Multi-Channel EEGs. BHI (2023)
Alexandra Zamitalo, Qingtong Xie, Mayar Allam, Phinu Philip, Wenqi Shi, Felipe O. Giuste, Benoit Marteau, Mio Murakoso, May D. Wang
Development of Machine Learning Regression Model for COVID-19 Drug Target Prediction. BIBM (2022)
Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang
Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Andrew Hornback, Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Coleman Hilton, Vinieth N. Bijanki, Hiram Stahl, Gary S. Gottesman, Chad Purnell, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang
Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care. BCB (2022)
Aekansh Goel, Zachary Mudge, Sarah Bi, Charles Brenner, Nicholas Huffman, Felipe O. Giuste, Benoit Marteau, Wenqi Shi, May D. Wang
Identification of covid-19 severity and associated genetic biomarkers based on scrna-SEQ data. BCB (2022)
Yuanda Zhu, Janani Venugopalan, Zhenyu Zhang, Nikhil Chanani, Kevin O. Maher, May D. Wang
Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit. Frontiers Artif. Intell. 5 (2022)
Sathvik S. Prabhu, John A. Berkebile, Neha Rajagopalan, Renjie Yao, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May D. Wang
Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR. BIBE (2022)
Benoit Marteau, Yuanda Zhu, Felipe O. Giuste, Wenqi Shi, Ashley M. Carpenter, Coleman Hilton, May D. Wang
Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR. EMBC (2022)
Aishwarya Mahale, Yuanda Zhu, Sami Belhareth, Adam Graf, Karen Kruger, Joseph Krzak, May D. Wang
Automating Treatment Recommendations for Children with Cerebral Palsy Based on Multi-Modal Clinical Data. BHI (2022)
Yuanda Zhu, Aishwarya Mahale, Kourtney Peters, Lejy Mathew, Felipe O. Giuste, Blake J. Anderson, May D. Wang
Using natural language processing on free-text clinical notes to identify patients with long-term COVID effects. BCB (2022)
Charles A. Ellis, Rongen Zhang, Darwin A. Carbajal, Robyn L. Miller, Vince D. Calhoun, May D. Wang
. EMBC (2021)
Can F. Usanmaz, Matthew E. White, Marcus Valancius, May D. Wang
An Expansion for Automated Cardiac Anomaly Detection Frameworks with Multimodal Missing Data Imputation. BHI (2021)
Wenqi Shi, Mitali S. Gupte, May D. Wang
Learning from Heterogeneous Data via Contrastive Learning: An Application in Multi-Source COVID-19 Radiography. BHI (2021)
Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Felipe O. Giuste, Lawrence L. He, Monica Isgut, Wenqi Shi, Blake J. Anderson, May D. Wang
Automated Risk Assessment of COVID-19 Patients at Diagnosis Using Electronic Healthcare Records. BHI (2021)
Hamid Reza Hassanzadeh, May D. Wang
An Integrated Deep Network for Cancer Survival Prediction Using Omics Data. Frontiers Big Data 4 (2021)
Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. CoRR (2021)
Asim H. Gazi, Patrick Lis, Arshawn Mohseni, Christopher Ompi, Felipe O. Giuste, Wenqi Shi, Omer T. Inan, May D. Wang
Respiratory Markers Significantly Enhance Anxiety Detection Using Multimodal Physiological Sensing. BHI (2021)
Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Robyn L. Miller, May D. Wang
A Gradient-based Approach for Explaining Multimodal Deep Learning Classifiers. BIBE (2021)
Ali Mirzazadeh, Arshawn Mohseni, Sahar Ibrahim, Felipe O. Giuste, Yuanda Zhu, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang
Improving Heart Transplant Rejection Classification Training using Progressive Generative Adversarial Networks. BHI (2021)
Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Henry J. Iwinski, Coleman Hilton, J. Michael Wattenbarger, May D. Wang
A FHIR-compliant Application for Multi-Site and Multi-Modality Pediatric Scoliosis Patient Rehabilitation. BIBM (2021)
Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller
A Novel Local Ablation Approach for Explaining Multimodal Classifiers. BIBE (2021)
Roshan Konda, Hang Wu, May D. Wang
Graph Convolutional Neural Networks to Classify Whole Slide Images. COMPSAC (2020)
Hang Wu, May D. Wang
An Information Theoretic Learning for Causal Direction Identification. COMPSAC (2020)
Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation. CoRR (2020)
Shreyas Malakarjun Patil, Li Tong, May D. Wang
Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image. COMPSAC (2020)
Mohammed Saqib, Yuanda Zhu, May D. Wang, Brett K. Beaulieu-Jones
Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting. COMPSAC (2020)
Felipe O. Giuste, Mythreye Venkatesan, Conan Zhao, Li Tong, Yuanda Zhu, Shriprasad R. Deshpande, May D. Wang
Automated Classification of Acute Rejection from Endomyocardial Biopsies. BCB (2020)
Li Tong, Jonathan Mitchel, Kevin Chatlin, May D. Wang
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Hang Wu, May D. Wang
Training Confidence-Calibrated Classifier via Distributionally Robust Learning. COMPSAC (2020)
Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang
EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB (2020)
Roshan Konda, Hang Wu, May D. Wang
Graph Convolutional Neural Networks to Classify Whole Slide Images. ICASSP (2020)
Yixing Jiang, Kristen Alford, Frank Ketchum, Li Tong, May D. Wang
TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction. BCB (2020)
Weiquan Wang, May D. Wang
Effects of Sponsorship Disclosure on Perceived Integrity of Biased Recommendation Agents: Psychological Contract Violation and Knowledge-Based Trust Perspectives. Inf. Syst. Res. 30 (2) (2019)
Li Tong, Hang Wu, May D. Wang
CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images. J. Am. Medical Informatics Assoc. 26 (11) (2019)
Li Tong, Ying Sha, May D. Wang
Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks. COMPSAC (1) (2019)
Yundong Zhang, Hang Wu, Huiye Liu, Li Tong, May D. Wang
Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays. CoRR (2019)
May D. Wang, Hang Wu
Tutorial: Causal Inference in Biomedical Data Analytics - Basics and Recent Advances. BCB (2019)
Yuanda Zhu, Hang Wu, May D. Wang
Feature Exploration and Causal Inference on Mortality of Epilepsy Patients Using Insurance Claims Data. BHI (2019)
Yuanda Zhu, Li Tong, Shriprasad R. Deshpande, May D. Wang
Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging. BHI (2019)
Janani Venugopalan, Nikhil Chanani, Kevin O. Maher, May D. Wang
Novel Data Imputation for Multiple Types of Missing Data in Intensive Care Units. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Anirudh Choudhary, Hang Wu, Tong Li, May D. Wang
Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks. BCB (2019)
Jonathan Mitchel, Kevin Chatlin, Li Tong, May D. Wang
A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data. BIBM (2019)
Li Qu, Huaiqiu Zhu, May D. Wang
Micro-Inversions In Human Cancer Genomes. EMBC (2018)
Ryan A. Hoffman, Hang Wu, Janani Venugopalan, Paula Braun, May D. Wang
Intelligent Mortality Reporting With FHIR. IEEE J. Biomed. Health Informatics 22 (5) (2018)
Ryan A. Hoffman, Janani Venugopalan, Li Qu, Hang Wu, May D. Wang
Improving Validity of Cause of Death on Death Certificates. BCB (2018)
Weiquan Wang, Jingjun (David) Xu, May D. Wang
Effects of Recommendation Neutrality and Sponsorship Disclosure on Trust vs. Distrust in Online Recommendation Agents: Moderating Role of Explanations for Organic Recommendations. Manag. Sci. 64 (11) (2018)
Hang Wu, May D. Wang
Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization. ICML (2018)
Cheng Yang, Longshu Yang, Man Zhou, Haoling Xie, Chengjiu Zhang, May D. Wang, Huaiqiu Zhu
LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning. Bioinform. 34 (22) (2018)
Adrienne E. Dooley, Li Tong, Shriprasad R. Deshpande, May D. Wang
Prediction of heart transplant rejection using histopathological whole-slide imaging. BHI (2018)
Mohammed Saqib, Ying Sha, May D. Wang
Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks. EMBC (2018)
Chanchala D. Kaddi, May D. Wang
Models for Predicting Stage in Head and Neck Squamous Cell Carcinoma Using Proteomic and Transcriptomic Data. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Wenjun Wu, Janani Venugopalan, May D. Wang
11C-PIB PET image analysis for Alzheimer's diagnosis using weighted voting ensembles. EMBC (2017)
Li Tong, Ryan Hoffman, Shriprasad R. Deshpande, May D. Wang
Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout. BHI (2017)
Aiswaria S. Nair, Karen DeMuth, Chihwen Cheng, May D. Wang
Asthma Academy: Developing educational technology to improve Asthma medication adherence and intervention efficiency. EMBC (2017)
Janani Venugopalan, Russell K. Gore, Tamara Espinoza, David W. Wright, Michelle C. LaPlaca, May D. Wang
Mining standardized neurological signs and symptoms data for concussion identification. BHI (2017)
Janani Venugopalan, Nikhil Chanani, Kevin O. Maher, May D. Wang
Combination of static and temporal data analysis to predict mortality and readmission in the intensive care. EMBC (2017)
Hamid Reza Hassanzadeh, Pushkar Kolhe, Charles L. Isbell Jr., May D. Wang
MotifMark: Finding regulatory motifs in DNA sequences. EMBC (2017)
Hamid Reza Hassanzadeh, Pushkar Kolhe, Charles L. Isbell Jr., May D. Wang
MotifMark: Finding Regulatory Motifs in DNA Sequences. CoRR (2017)
Hamid Reza Hassanzadeh, Ying Sha, May D. Wang
DeepDeath: Learning to predict the underlying cause of death with Big Data. EMBC (2017)
Hang Wu, May D. Wang
Infer Cause of Death for Population Health Using Convolutional Neural Network. BCB (2017)
Hang Wu, Li Tong, May D. Wang
Improving multi-class classification for endomicroscopic images by semi-supervised learning. BHI (2017)
Ying Sha, May D. Wang
Interpretable Predictions of Clinical Outcomes with An Attention-based Recurrent Neural Network. BCB (2017)
Ryan A. Hoffman, Hang Wu, Janani Venugopalan, Paula Braun, May D. Wang
Intelligent mortality reporting with FHIR. BHI (2017)
Po-Yen Wu, Chihwen Cheng, Chanchala D. Kaddi, Janani Venugopalan, Ryan Hoffman, May D. Wang
-Omic and Electronic Health Record Big Data Analytics for Precision Medicine. IEEE Trans. Biomed. Eng. 64 (2) (2017)
Hamid Reza Hassanzadeh, Ying Sha, May D. Wang
DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data. CoRR (2017)
Hang Wu, May D. Wang
Multi-view non-negative tensor factorization as relation learning in healthcare data. EMBC (2016)
Hamid Reza Hassanzadeh, May D. Wang
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins. CoRR (2016)
Theruni Pethiyagoda, Nikhil Chanani, Chihwen Cheng, May D. Wang
PEPCOR - A risk prediction model for pediatric intensive care units utilizing ventilator days and length of stay. BHI (2016)
Ying Sha, Janani Venugopalan, May D. Wang
A Novel Temporal Similarity Measure for Patients Based on Irregularly Measured Data in Electronic Health Records. BCB (2016)
Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
A multi-modal graph-based semi-supervised pipeline for predicting cancer survival. BIBM (2016)
Li Tong, Cheng Yang, Po-Yen Wu, May D. Wang
Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. BHI (2016)
Sonal Kothari, Hang Wu, Li Tong, Kevin E. Woods, May D. Wang
Automated risk prediction for esophageal optical endomicroscopic images. BHI (2016)
John H. Phan, Ryan Hoffman, Sonal Kothari, Po-Yen Wu, May D. Wang
Integration of multi-modal biomedical data to predict cancer grade and patient survival. BHI (2016)
Sameer Mishra, Chanchala D. Kaddi, May D. Wang
Pan-cancer analysis for studying cancer stage using protein and gene expression data. EMBC (2016)
Chihwen Cheng, Ying Sha, May D. Wang
InterVisAR: An Interactive Visualization for Association Rule Search. BCB (2016)
Inez Raharjo, Thomas G. Burns, Janani Venugopalan, May D. Wang
Development of user-friendly and interactive data collection system for cerebral palsy. BHI (2016)
Metin Akay, Gouenou Coatrieux, Yang Hao, Dimitrios I. Fotiadis, Andrew Laine, Benny P. L. Lo, Konstantina S. Nikita, Norbert Noury, Joel J. P. C. Rodrigues, May D. Wang
Guest Editorial: MobiHealth 2014, IEEE HealthCom 2014, and IEEE BHI 2014. IEEE J. Biomed. Health Informatics 20 (3) (2016)
Po-Yen Wu, May D. Wang
The selection of quantification pipelines for Illumina RNA-seq data using a subsampling approach. BHI (2016)
Chihwen Cheng, Hang Wu, Pamela J. Thompson, Julie R. Taylor, Barbara A. Zehnbauer, Karlyn K. Wilson, May D. Wang
Anticoagulation manager: Development of a clinical decision support mobile application for management of anticoagulants. EMBC (2016)
Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
A Multi-Modal Graph-Based Semi-Supervised Pipeline for Predicting Cancer Survival. CoRR (2016)
Hamid Reza Hassanzadeh, May D. Wang
DeeperBind: Enhancing prediction of sequence specificities of DNA binding proteins. BIBM (2016)
Matt Schwartz, Martin Park, John H. Phan, May D. Wang
Integration of multimodal RNA-seq data for prediction of kidney cancer survival. BIBM (2015)

May D. Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

May D. Wang