EliXR: an approach to eligibility criteria extraction and representation. - Chunhua Weng; Xiaoying Wu; Zhihui Luo 001; Mary Regina Boland; Dimitri Theodoratos; Stephen B. Johnson (J. Am. Medical Informatics Assoc., 2011)

Dynamic categorization of clinical research eligibility criteria by hierarchical clustering. - Zhihui Luo 001; Meliha Yetisgen-Yildiz; Chunhua Weng (J. Biomed. Informatics, 2011)

A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria. - Zhihui Luo 001; Riccardo Miotto; Chunhua Weng (J. Biomed. Informatics, 2013)

Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis. - Licong Cui; Rong Xu; Zhihui Luo 001; Susan Wentz; Kyle Scarberry; Guo-Qiang Zhang 001 (BMC Medical Informatics Decis. Mak., 2014)

RMS: a platform for managing cross-disciplinary and multi-institutional research project collaboration. - Jake Luo; Carolyn Apperson-Hansen; Clara M. Pelfrey; Guo-Qiang Zhang 001 (BMC Medical Informatics Decis. Mak., 2014)

Bridging the Representation Gap of Medical Image and Clinical Note through Semantic Association Mining. - Jake Luo; Timothy B. Patrick (AMIA, 2015)

Social Media, Big Data, and Public Health Informatics: Ruminating Behavior of Depression Revealed through Twitter. - Priya Nambisan; Zhihui Luo 001; Akshat Kapoor; Timothy B. Patrick; Ron A. Cisler (HICSS, 2015)

Evaluating Acceptability and Efficacy of Antidepressant Medications using Patients Comments in Social Media. - Maryam Zolnoori; Timothy B. Patrick; Mike Conway; Anthony Faiola; Jake Luo (AMIA, 2016)

Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization. - Jake Luo; Weiheng Chen; Min Wu 006; Chunhua Weng (Int. J. Medical Informatics, 2017)

Semantic-Enhanced Query Expansion System for Retrieving Medical Image Notes. - Yiqing Zhao; Nooshin J. Fesharaki; Xiaohui Li; Timothy B. Patrick; Jake Luo (J. Medical Syst., 2018)

Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation. - Yiqing Zhao; Nooshin J. Fesharaki; Hongfang Liu; Jake Luo (BMC Medical Informatics Decis. Mak., 2018)

Challenges to a Data Driven Approach to Population Level Analysis of Hypersensitivity Events in Cancer Clinical Trials. - Christina Eldredge; James E. Andrews; Maryam Zolnoori; Timothy B. Patrick; Joel Gallagher; Cesar A. Lam; Jake Luo (AMIA, 2019)

Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. - Maryam Zolnoori; Che Ngufor; Anthony Faiola; Christina Eldredge; Jake Luo; Sunghwan Sohn; Joyce E. Balls-Berry; Ahmad P. Tafti; Nilay D. Shah; Timothy B. Patrick (AMIA, 2019)

Machine Learning-Based Modeling of Big Clinical Trials Data for Adverse Outcome Prediction: A Case Study of Death Events. - Ling Tong 002; Jake Luo; Ron A. Cisler; Michael Cantor (COMPSAC (2), 2019)

A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. - Maryam Zolnoori; Kin Wah Fung; Timothy B. Patrick; Paul A. Fontelo; Hadi Kharrazi; Anthony Faiola; Yi Shuan Shirley Wu; Christina E. Eldredge; Jake Luo; Mike Conway; Jiaxi Zhu; Soo Kyung Park; et al. (J. Biomed. Informatics, 2019)

Very large-scale data classification based on K-means clustering and multi-kernel SVM. - Tinglong Tang; Shengyong Chen; Meng Zhao 001; Wei Huang 015; Jake Luo (Soft Comput., 2019)

Adversarial bandit gene expression programming for symbolic regression. - Congwen Xu; Qiang Lu 005; Jake Luo; Zhiguang Wang (GECCO Companion, 2021)

Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities. - Jake Luo; Ling Tong 002; Bradley H. Crotty; Melek Somai; Bradley W. Taylor; Kristen Osinski; Ben George (Appl. Clin. Inform., 2021)

A deep learning study on osteosarcoma detection from histological images. - D. M. Anisuzzaman; Hosein Barzekar; Ling Tong 002; Jake Luo; Zeyun Yu (Biomed. Signal Process. Control., 2021)

An anomaly detection method based on double encoder-decoder generative adversarial networks. - Hui Li 006; Tinglong Tang; Jake Luo; Meng Zhao 001; Baole Zheng; Yirong Wu (Ind. Robot, 2021)

Enhancing gene expression programming based on space partition and jump for symbolic regression. - Qiang Lu 005; Shuo Zhou; Fan Tao; Jake Luo; Zhiguang Wang (Inf. Sci., 2021)

Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach. - Mohammad Alarifi; Timothy B. Patrick; Abdulrahman Jabour; Min Wu 006; Jake Luo (J. Digit. Imaging, 2021)

Health Consumer Social Economic Factors and Health Conditions as Predictor for Health Literacy in Radiology Domain. - Mohammad Alarifi; Timothy B. Patrick; Abdulrahman Jabour; Min Wu 006; Jake Luo (J. Medical Imaging Health Informatics, 2021)

Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension. - Masud Rabbani; Shiyu Tian; Adib Ahmed Anik; Jake Luo; Min Sook Park; Jeff Whittle; Sheikh Iqbal Ahamed; Hyunkyoung Oh (COMPSAC, 2022)

A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall. - Ling Tong 002; Jake Luo; Jazzmyne Adams; Kristen Osinski; Xiaoyu Liu; David Friedland (COMPSAC, 2022)

Taylor genetic programming for symbolic regression. - Baihe He; Qiang Lu 005; Qingyun Yang; Jake Luo; Zhiguang Wang (GECCO, 2022)

Exploring hidden semantics in neural networks with symbolic regression. - Yuanzhen Luo; Qiang Lu 005; Xilei Hu; Jake Luo; Zhiguang Wang (GECCO, 2022)

AB-GEP: Adversarial bandit gene expression programming for symbolic regression. - Qiang Lu 005; Congwen Xu; Jake Luo; Zhiguang Wang (Swarm Evol. Comput., 2022)

A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions. - Min Sook Park; Paramita Basak Upama; Adib Ahmed Anik; Sheikh Iqbal Ahamed; Jake Luo; Shiyu Tian; Masud Rabbani; Hyungkyoung Oh (COMPSAC, 2023)

Identifying Medical Concepts and Semantic Types in Lay Vocabularies of Health Consumers Who are Concerned with Diabetes on Social Media Using the UMLS and NLP. - Adib Ahmed Anik; Paramita Basak Upama; Masud Rabbani; Shiyu Tian; Min Sook Park; Sheikh Iqbal Ahamed; Jake Luo; Hyunkyoung Oh (COMPSAC, 2024)

Differentiable Neural Network for Assembling Blocks. - Zhiwei Liu; Qiang Lu 005; Yibo Zhao; Yanhong Zhao; Jake Luo (ECAI, 2024)

An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought. - Chunhao Lu; Qiang Lu 005; Jake Luo (ECCV (67), 2024)

Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics. - Mingcai Yuan; Qiang Lu 005; Xianhao Zeng; Jake Luo; Dawei Li (IJCNN, 2024)

Symbol Graph Genetic Programming for Symbolic Regression. - Jinglu Song; Qiang Lu 005; Bozhou Tian; Jingwen Zhang; Jake Luo; Zhiguang Wang (PPSN (1), 2024)

Prove Symbolic Regression is NP-hard by Symbol Graph. - Jinglu Song; Qiang Lu 005; Bozhou Tian; Jingwen Zhang; Jake Luo; Zhiguang Wang (CoRR, 2024)

Benchmarking Large Language Models from Open and Closed Source Models to Apply Data Annotation for Free-Text Criteria in Healthcare. - Ali Nemati; Mohammad Assadi Shalmani; Qiang Lu 005; Jake Luo (Future Internet, 2025)

Deep Differentiable Symbolic Regression Neural Network. - Qiang Lu 005; Yuanzhen Luo; Haoyang Li; Jake Luo; Zhiguang Wang (Neurocomputing, 2025)

Discovering Acoustic Impedance Inversion Equation. - Baimou Li; Qiang Lu 005; Jake Luo; Zhiguang Wang (IEEE Trans. Geosci. Remote. Sens., 2025)

Advancing personalized healthcare: leveraging explainable AI for BPPV risk assessment. - Masoud Khani; Jake Luo; Mohammad Assadi Shalmani; Amirsajjad Taleban; Jazzmyne Adams; David Friedland (Health Inf. Sci. Syst., 2025)