Jake Luo

According to our database, Jake Luo authored at least 34 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Prove Symbolic Regression is NP-hard by Symbol Graph.

Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang

CoRR, 2024

Symbol Graph Genetic Programming for Symbolic Regression.

Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics.

Mingcai Yuan, Qiang Lu, Xianhao Zeng, Jake Luo, Dawei Li

Proceedings of the International Joint Conference on Neural Networks, 2024

Differentiable Neural Network for Assembling Blocks.

Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

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

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

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

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

AB-GEP: Adversarial bandit gene expression programming for symbolic regression.

Qiang Lu, Congwen Xu, Jake Luo, Zhiguang Wang

Swarm Evol. Comput., 2022

Exploring hidden semantics in neural networks with symbolic regression.

Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Taylor genetic programming for symbolic regression.

Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall.

Ling Tong, Jake Luo, Jazzmyne Adams, Kristen Osinski, Xiaoyu Liu, David Friedland

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

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

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

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, Jake Luo

J. Medical Imaging Health Informatics, 2021

Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach.

Mohammad Alarifi, Timothy B. Patrick, Abdulrahman Jabour, Min Wu, Jake Luo

J. Digit. Imaging, 2021

Enhancing gene expression programming based on space partition and jump for symbolic regression.

Qiang Lu, Shuo Zhou, Fan Tao, Jake Luo, Zhiguang Wang

Inf. Sci., 2021

An anomaly detection method based on double encoder-decoder generative adversarial networks.

Hui Li, Tinglong Tang, Jake Luo, Meng Zhao, Baole Zheng, Yirong Wu

Ind. Robot, 2021

A deep learning study on osteosarcoma detection from histological images.

D. M. Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu

Biomed. Signal Process. Control., 2021

Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities.

Jake Luo, Ling Tong, Bradley H. Crotty, Melek Somai, Bradley Taylor, Kristen Osinski, Ben George

Appl. Clin. Inform., 2021

Adversarial bandit gene expression programming for symbolic regression.

Congwen Xu, Qiang Lu, Jake Luo, Zhiguang Wang

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2019

Very large-scale data classification based on K-means clustering and multi-kernel SVM.

Tinglong Tang, Shengyong Chen, Meng Zhao, Wei Huang, Jake Luo

Soft Comput., 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, Kelly Xu, Hamideh Moayyed, Somaieh Goudarzvand

J. Biomed. Informatics, 2019

Machine Learning-Based Modeling of Big Clinical Trials Data for Adverse Outcome Prediction: A Case Study of Death Events.

Ling Tong, Jake Luo, Ron A. Cisler, Michael Cantor

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 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

Proceedings of the AMIA 2019, 2019

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

Proceedings of the AMIA 2019, 2019

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

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

2017

Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization.

Jake Luo, Weiheng Chen, Min Wu, Chunhua Weng

Int. J. Medical Informatics, 2017

2016

Evaluating Acceptability and Efficacy of Antidepressant Medications using Patients Comments in Social Media.

Maryam Zolnoori, Timothy B. Patrick, Mike Conway, Anthony Faiola, Jake Luo

Proceedings of the AMIA 2016, 2016

2015

Social Media, Big Data, and Public Health Informatics: Ruminating Behavior of Depression Revealed through Twitter.

Priya Nambisan, Zhihui Luo, Akshat Kapoor, Timothy B. Patrick, Ron A. Cisler

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Bridging the Representation Gap of Medical Image and Clinical Note through Semantic Association Mining.

Jake Luo, Timothy B. Patrick

Proceedings of the AMIA 2015, 2015

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

BMC Medical Informatics Decis. Mak., 2014

Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis.

Licong Cui, Rong Xu, Zhihui Luo, Susan Wentz, Kyle Scarberry, Guo-Qiang Zhang

BMC Medical Informatics Decis. Mak., 2014

2013

A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria.

Zhihui Luo, Riccardo Miotto, Chunhua Weng

J. Biomed. Informatics, 2013

2011

Dynamic categorization of clinical research eligibility criteria by hierarchical clustering.

Zhihui Luo, Meliha Yetisgen-Yildiz, Chunhua Weng

J. Biomed. Informatics, 2011

EliXR: an approach to eligibility criteria extraction and representation.

Chunhua Weng, Xiaoying Wu, Zhihui Luo, Mary Regina Boland, Dimitri Theodoratos, Stephen B. Johnson

J. Am. Medical Informatics Assoc., 2011