Nucleic acid reactivity: Challenges for next-generation semiempirical quantum models. - Ming Huang 006; Timothy J. Giese; Darrin M. York (J. Comput. Chem., 2015)

Mapping client messages to a unified data model with mixture feature embedding convolutional neural network. - Dingcheng Li; Peini Liu; Ming Huang 006; Yu Gu 001; Yue Zhang; Xiaodi Li; Daniel Dean; Xiaoxi Liu; Jingmin Xu; Hui Lei 001; Yaoping Ruan (BIBM, 2017)

Probing Technology Innovation on Diseases via Patent Mining. - Ming Huang 006; Maryam Zolnoori; Lixia Yao (AMIA, 2018)

Temporal sequence alignment in electronic health records for computable patient representation. - Ming Huang 006; Maryam Zolnoori; Nilay D. Shah; Lixia Yao (BIBM, 2018)

Evaluating global and local sequence alignment methods for comparing patient medical records. - Ming Huang 006; Nilay D. Shah; Lixia Yao (BMC Medical Informatics Decis. Mak., 2019)

Deep Semantic Embeddings and Clustering to Facilitate Identification of Transportation Barriers in Patient Portal Messages. - Ming Huang 006; Jungwei Fan 001 (AMIA, 2020)

Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping. - Erin Kasson; Lijuan Cao; Ming Huang 006; Dezhi Wu; Patricia A. Cavazos-Rehg (HCI (49), 2020)

Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity. - Nathan D. Seligson; Jeremy L. Warner; William S. Dalton; David Martin; Robert S. Miller; Debra Patt; Kenneth L. Kehl; Matvey B. Palchuk; Gil Alterovitz; Laura K. Wiley; Ming Huang 006; Feichen Shen; et al. (J. Am. Medical Informatics Assoc., 2020)

Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages. - Ming Huang 006; Aditya Khurana; George M. Mastorakos; Andrew Wen; Huan He; Liwei Wang 010; Sijia Liu 002; Yanshan Wang; Julie E. Prigge; Brian Costello; Nilay D. Shah; Henry Ting; et al. (AMIA, 2021)

COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend. - Huan He; Liwei Wang 010; Andrew Wen; Ming Huang 006; Yanshan Wang; Hongfang Liu (AMIA, 2021)

Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. - Ming Huang 006; Andrew Wen; Huan He; Liwei Wang 010; Sijia Liu 002; Yanshan Wang; Nansu Zong; Yue Yu; Julie E. Prigge; Brian Costello; Nilay D. Shah; Henry Ting; et al. (AMIA, 2021)

Identification of Transportation Barriers in Patient Portal Messages via Deep Semantic Embeddings and Clustering. - Ming Huang 006; Aditya Khurana; George M. Mastorakos; Jungwei Fan 001 (MedInfo, 2021)

Drug-target prediction utilizing heterogeneous bio-linked network embeddings. - Nansu Zong; Rachael Sze Nga Wong; Yue Yu; Andrew Wen; Ming Huang 006; Ning Li (Briefings Bioinform., 2021)

Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak. - Erin Kasson; Avineet Kumar Singh; Ming Huang 006; Dezhi Wu; Patricia A. Cavazos-Rehg (Int. J. Medical Informatics, 2021)

Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data. - Nansu Zong; Daniel J. Stone; Deepak K. Sharma; Andrew Wen; Chen Wang 001; Yue Yu; Ming Huang 006; Sijia Liu 002; Hongfang Liu; Qian Shi; Guoqian Jiang (Int. J. Medical Informatics, 2021)

An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. - Andrew Wen; Liwei Wang 010; Huan He; Sijia Liu 002; Sunyang Fu; Sunghwan Sohn; Jacob A. Kugel; Vinod C. Kaggal; Ming Huang 006; Yanshan Wang; Feichen Shen; Jungwei Fan 001; et al. (J. Biomed. Informatics, 2021)

Probing Radiology Patient Experience Feedbacks with Aspect-based Sentiment Analysis. - Kurt Miller; Ming Huang 006; Sunyang Fu; Kris Abah; Andrea Maraboto Escarria; Kevin J. Peterson; Hongfang Liu; Lacey Hart; Nelly Tan (AMIA, 2022)

Aspect-based Sentiment Analysis of Radiology Patient Experience Surveys: A Cohort Study. - Kurt Miller; Sunyang Fu; Kris Abah; Andrea Maraboto Escarria; Kevin J. Peterson; Hongfang Liu; Lacey Hart; Nelly Tan; Ming Huang 006 (ICHI, 2022)

Mining Transportation Issues from Patient Portal Messages. - Nan Wang; Ming Huang 006; Jungwei Fan 001 (ICHI, 2022)

A Tale of Two Perspectives: Harvesting System Views and User Views to Understand Patient Portal Engagement. - Jiawei Zhou 002; Rosa I. Arriaga; Hongfang Liu; Ming Huang 006 (ICHI, 2022)

BETA: a comprehensive benchmark for computational drug-target prediction. - Nansu Zong; Ning Li; Andrew Wen; Victoria Ngo; Yue Yu; Ming Huang 006; Shaika Chowdhury; Chao Jiang 002; Sunyang Fu; Richard Weinshilboum; Guoqian Jiang; Lawrence Hunter; et al. (Briefings Bioinform., 2022)

Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification. - Yang Ren; Dezhi Wu; Avineet Kumar Singh; Erin Kasson; Ming Huang 006; Patricia A. Cavazos-Rehg (Frontiers Big Data, 2022)

Computational drug repurposing based on electronic health records: a scoping review. - Nansu Zong; Andrew Wen; Sungrim Moon; Sunyang Fu; Liwei Wang 010; Yiqing Zhao; Yue Yu; Ming Huang 006; Yanshan Wang; Gang Zheng; Michelle M. Mielke; James R. Cerhan; et al. (npj Digit. Medicine, 2022)

Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN. - Ziyi Chen; Ren Yang; Sunyang Fu; Nansu Zong; Hongfang Liu; Ming Huang 006 (ICHI, 2023)

Characterizing the Users of Patient Portal Messaging: A Single Institutional Cohort Study. - Ming Huang 006; Aditya Khurana; George M. Mastorakos; Jiawei Zhou 002; Nansu Zong; Yue Yu; Julie E. Prigge; Christi A. Patten; Hongfang Liu; Brian Costello (ICHI, 2023)

Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision. - Kurt Miller; Bhavani Singh Agnikula Kshatriya; Nicolas A. Nunez; Manuel Gardea-Resendez; Euijung Ryu; Brandon J. Coombes; Sunyang Fu; Mark A. Frye; Joanna M. Biernacka; Ming Huang 006; Yanshan Wang (ICHI, 2023)

Classification of Patient Portal Messages with BERT-based Language Models. - Yang Ren; Dezhi Wu; Aditya Khurana; George M. Mastorakos; Sunyang Fu; Nansu Zong; Jungwei Fan 001; Hongfang Liu; Ming Huang 006 (ICHI, 2023)

Detecting Reddit Users with Depression Using a Hybrid Neural Network. - Ziyi Chen; Ren Yang; Sunyang Fu; Nansu Zong; Hongfang Liu; Ming Huang 006 (CoRR, 2023)

Retrospective content analysis of consumer product reviews related to chronic pain. - Jungwei Fan 001; Wanjing Wang; Ming Huang 006; Hongfang Liu; W. M. Hooten (Frontiers Digit. Health, 2023)

Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions. - Sai Krishna Revanth Vuruma; Dezhi Wu; Saborny Sen Gupta; Lucas Aust; Valerie Lookingbill; Caleb Henry; Yang Ren; Erin Kasson; Li-Shiun Chen; Patricia A. Cavazos-Rehg; Dian Hu; Ming Huang 006 (CoRR, 2024)

Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach. - Sai Krishna Revanth Vuruma; Dezhi Wu; Saborny Sen Gupta; Lucas Aust; Valerie Lookingbill; Wyatt Bellamy; Yang Ren; Erin Kasson; Li-Shiun Chen; Patricia A. Cavazos-Rehg; Dian Hu; Ming Huang 006 (CoRR, 2024)

Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models. - Zehan Li; Yan Hu; Scott Lane; Salih Selek; Lokesh Shahani; Rodrigo Machado-Vieira; Jair Soares; Hua Xu 001; Hongfang Liu; Ming Huang 006 (CoRR, 2024)

Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models. - Yang Ren; Yuqi Wu; Jungwei W. Fan 001; Aditya Khurana; Sunyang Fu; Dezhi Wu; Hongfang Liu; Ming Huang 006 (J. Am. Medical Informatics Assoc., 2024)

Automated Reddit Data Annotation with Large Language Models. - Sai Krishna Revanth Vuruma; Dezhi Wu; Saborny Sen Gupta; Lucas Aust; Valerie Lookingbill; Wyatt Bellamy; Yang Ren; Erin Kasson; Li-Shiun Chen; Patricia A. Cavazos-Rehg; Dian Hu; Hongfang Liu; et al. (ICHI, 2025)

A scoping review of OMOP CDM adoption for cancer research using real world data. - Liwei Wang 010; Andrew Wen; Sunyang Fu; Xiaoyang Ruan; Ming Huang 006; Rui Li; Qiuhao Lu; Heather Lyu; Andrew E. Williams; Hongfang Liu (npj Digit. Medicine, 2025)

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors. - Ming Huang 006; Zehan Li; Yan Hu; Wanjing Wang; Andrew Wen; Scott Lane; Salih Selek; Lokesh Shahani; Rodrigo Machado-Vieira; Jair Soares; Hua Xu 001; Hongfang Liu (CoRR, 2025)