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ORCIDJake Luo
Person information
- affiliation: University of Wisconsin Milwaukee, Department of Health Informatics and Administration, USA
Other persons with the same name
- Zhihui Luo 0002 — Queen's University Belfast, School of Electronics, Electrical Engineering and Computer Science, UK
- Zhihui Luo 0003 — Chinese Academy of Sciences, Shanghai Institute of Materia Medica, State Key Laboratory of Drug Research, China
- Zhihui Luo 0004
![[0000-0002-3842-3696]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3842-3696")
— Yulin Normal University, College of Chemistry and Food Science, China - Zhihui Luo 0005 — Nanjing Agricultural University, College of Engineering, China
- Zhihui Luo 0006 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Zhihui Luo 0007 — Wuhan University of Science and Technology, College of Life Sciences and Health, China
- Zhihui Luo 0008 — Chang'an University, College of Geological Engineering and Geomatics, Xi'an, China
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2020 – today
- 2025
[j19]Masoud Khani, Jake Luo, Mohammad Assadi Shalmani, Amirsajjad Taleban, Jazzmyne Adams, David Friedland:
Advancing personalized healthcare: leveraging explainable AI for BPPV risk assessment. Health Inf. Sci. Syst. 13(1): 1 (2025)- [j18]Qiang Lu, Yuanzhen Luo, Haoyang Li, Jake Luo, Zhiguang Wang:
Deep Differentiable Symbolic Regression Neural Network. Neurocomputing 629: 129671 (2025) - 2024
- [c17]Adib Ahmed Anik, Paramita Basak Upama, Masud Rabbani, Shiyu Tian, Min Sook Park, Sheikh Iqbal Ahamed, Jake Luo, Hyunkyoung Oh:
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. COMPSAC 2024: 862-869 - [c16]Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo:
Differentiable Neural Network for Assembling Blocks. ECAI 2024: 2250-2257 - [c15]Chunhao Lu, Qiang Lu, Jake Luo:
An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought. ECCV (67) 2024: 146-162 - [c14]Mingcai Yuan, Qiang Lu, Xianhao Zeng, Jake Luo, Dawei Li:
Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics. IJCNN 2024: 1-8 - [c13]Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang:
Symbol Graph Genetic Programming for Symbolic Regression. PPSN (1) 2024: 221-237 - [i4]Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang:
Prove Symbolic Regression is NP-hard by Symbol Graph. CoRR abs/2404.13820 (2024) - 2023
- [c12]Min Sook Park, Paramita Basak Upama, Adib Ahmed Anik, Sheikh Iqbal Ahamed, Jake Luo, Shiyu Tian, Masud Rabbani, Hyungkyoung Oh:
A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions. COMPSAC 2023: 1064-1075 - 2022
- [j17]Qiang Lu, Congwen Xu, Jake Luo, Zhiguang Wang:
AB-GEP: Adversarial bandit gene expression programming for symbolic regression. Swarm Evol. Comput. 75: 101197 (2022) - [c11]Ling Tong, Jake Luo, Jazzmyne Adams, Kristen Osinski, Xiaoyu Liu, David Friedland:
A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall. COMPSAC 2022: 337-342 - [c10]Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Jake Luo, Min Sook Park, Jeff Whittle, Sheikh Iqbal Ahamed, Hyunkyoung Oh:
Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension. COMPSAC 2022: 512-519 - [c9]Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang:
Taylor genetic programming for symbolic regression. GECCO 2022: 946-954 - [c8]Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang:
Exploring hidden semantics in neural networks with symbolic regression. GECCO 2022: 982-990 - [i3]Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang:
Exploring Hidden Semantics in Neural Networks with Symbolic Regression. CoRR abs/2204.10529 (2022) - [i2]Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang:
Taylor Genetic Programming for Symbolic Regression. CoRR abs/2205.09751 (2022) - 2021
- [j16]Jake Luo, Ling Tong, Bradley H. Crotty, Melek Somai, Bradley W. Taylor, Kristen Osinski, Ben George:
Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities. Appl. Clin. Inform. 12(4): 836-844 (2021) - [j15]D. M. Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu:
A deep learning study on osteosarcoma detection from histological images. Biomed. Signal Process. Control. 69: 102931 (2021) - [j14]Hui Li, Tinglong Tang, Jake Luo, Meng Zhao, Baole Zheng, Yirong Wu:
An anomaly detection method based on double encoder-decoder generative adversarial networks. Ind. Robot 48(5): 643-648 (2021) - [j13]Qiang Lu, Shuo Zhou, Fan Tao, Jake Luo, Zhiguang Wang:
Enhancing gene expression programming based on space partition and jump for symbolic regression. Inf. Sci. 547: 553-567 (2021) - [j12]Mohammad Alarifi, Timothy B. Patrick, Abdulrahman Jabour, Min Wu, Jake Luo:
Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach. J. Digit. Imaging 34(3): 705-716 (2021) - [j11]Mohammad Alarifi, Timothy B. Patrick, Abdulrahman Jabour, Min Wu, Jake Luo:
Health Consumer Social Economic Factors and Health Conditions as Predictor for Health Literacy in Radiology Domain. J. Medical Imaging Health Informatics 11(11): 2716-2721 (2021) - [c7]Congwen Xu, Qiang Lu, Jake Luo, Zhiguang Wang:
Adversarial bandit gene expression programming for symbolic regression. GECCO Companion 2021: 269-270 - 2020
- [i1]D. M. Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu:
A Deep Learning Study on Osteosarcoma Detection from Histological Images. CoRR abs/2011.01177 (2020)
2010 – 2019
- 2019
- [j10]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:
A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. J. Biomed. Informatics 90 (2019) - [j9]Tinglong Tang, Shengyong Chen, Meng Zhao, Wei Huang, Jake Luo:
Very large-scale data classification based on K-means clustering and multi-kernel SVM. Soft Comput. 23(11): 3793-3801 (2019) - [c6]Christina Eldredge, James E. Andrews, Maryam Zolnoori, Timothy B. Patrick, Joel Gallagher, Cesar A. Lam, Jake Luo:
Challenges to a Data Driven Approach to Population Level Analysis of Hypersensitivity Events in Cancer Clinical Trials. AMIA 2019 - [c5]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:
Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. AMIA 2019 - [c4]Ling Tong, Jake Luo, Ron A. Cisler, Michael Cantor:
Machine Learning-Based Modeling of Big Clinical Trials Data for Adverse Outcome Prediction: A Case Study of Death Events. COMPSAC (2) 2019: 269-274 - 2018
- [j8]Yiqing Zhao, Nooshin J. Fesharaki, Xiaohui Li, Timothy B. Patrick, Jake Luo:
Semantic-Enhanced Query Expansion System for Retrieving Medical Image Notes. J. Medical Syst. 42(6): 105:1-105:11 (2018) - [j7]Yiqing Zhao, Nooshin J. Fesharaki, Hongfang Liu, Jake Luo:
Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation. BMC Medical Informatics Decis. Mak. 18(1): 61:1-61:13 (2018) - 2017
- [j6]Jake Luo, Weiheng Chen, Min Wu, Chunhua Weng:
Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization. Int. J. Medical Informatics 108: 85-91 (2017) - 2016
- [c3]Maryam Zolnoori, Timothy B. Patrick, Mike Conway, Anthony Faiola, Jake Luo:
Evaluating Acceptability and Efficacy of Antidepressant Medications using Patients Comments in Social Media. AMIA 2016 - 2015
- [c2]Jake Luo, Timothy B. Patrick:
Bridging the Representation Gap of Medical Image and Clinical Note through Semantic Association Mining. AMIA 2015 - [c1]Priya Nambisan, Zhihui Luo, Akshat Kapoor, Timothy B. Patrick, Ron A. Cisler:
Social Media, Big Data, and Public Health Informatics: Ruminating Behavior of Depression Revealed through Twitter. HICSS 2015: 2906-2913 - 2014
- [j5]Licong Cui, Rong Xu, Zhihui Luo, Susan Wentz, Kyle Scarberry, Guo-Qiang Zhang:
Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis. BMC Medical Informatics Decis. Mak. 14: 63 (2014) - [j4]Jake Luo, Carolyn Apperson-Hansen, Clara M. Pelfrey, Guo-Qiang Zhang:
RMS: a platform for managing cross-disciplinary and multi-institutional research project collaboration. BMC Medical Informatics Decis. Mak. 14: 106 (2014) - 2013
- [j3]Zhihui Luo, Riccardo Miotto, Chunhua Weng:
A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria. J. Biomed. Informatics 46(1): 33-39 (2013) - 2011
- [j2]Chunhua Weng, Xiaoying Wu, Zhihui Luo, Mary Regina Boland, Dimitri Theodoratos, Stephen B. Johnson:
EliXR: an approach to eligibility criteria extraction and representation. J. Am. Medical Informatics Assoc. 18(Supplement): 116-124 (2011) - [j1]Zhihui Luo, Meliha Yetisgen-Yildiz, Chunhua Weng:
Dynamic categorization of clinical research eligibility criteria by hierarchical clustering. J. Biomed. Informatics 44(6): 927-935 (2011)
Coauthor Index
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