Jake Luo

47 papers A 3B 6Misc 4Journal 27Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable artificial intelligence in electrocardiography: A systematic review.
Biomed. Signal Process. Control.
Amirsajjad Taleban, Rodney Sparapani, Patrick Noffke, Sharone Zlochiver, Qiang Lu, Michael E. Widlansky, Jake Luo
2026 J jnl
Sequential pattern transformer (SPT): a generative and interpretable framework for predicting disease trajectories.
Neural Comput. Appl.
Mohammad Assadi Shalmani, Masoud Khani, Amirsajjad Taleban, Zihao Yi, Jennifer T. Fink, Christopher E. Weber, Qiang Lu, Jake Luo
2026 J jnl
SymRefine: A symbolic regression approach for refining and compressing neural networks.
Neurocomputing
Wei Wei, Qiang Lu, Can Huang, David Lee, Jake Luo
2026 J jnl
Terrain-aware morphology searching algorithm for self-reconfigurable modular robot in dynamic environment.
Appl. Soft Comput.
Zekun Liu, Qiang Lu, Jake Luo, Zhiguang Wang
2025 J jnl
Advancing personalized healthcare: leveraging explainable AI for BPPV risk assessment.
Health Inf. Sci. Syst.
Masoud Khani, Jake Luo, Mohammad Assadi Shalmani, Amirsajjad Taleban, Jazzmyne Adams, David R. Friedland
2025 J jnl
Benchmarking Large Language Models from Open and Closed Source Models to Apply Data Annotation for Free-Text Criteria in Healthcare.
Future Internet
Ali Nemati, Mohammad Assadi Shalmani, Qiang Lu, Jake Luo
2025 J jnl
Deep Differentiable Symbolic Regression Neural Network.
Neurocomputing
Qiang Lu, Yuanzhen Luo, Haoyang Li, Jake Luo, Zhiguang Wang
2025 J jnl
Discovering Acoustic Impedance Inversion Equation.
IEEE Trans. Geosci. Remote. Sens.
Baimou Li, Qiang Lu, Jake Luo, Zhiguang Wang
2025 J jnl
Embedding neural sampling and adversarial bandit into gene expression programming for symbolic regression.
Appl. Soft Comput.
Qiang Lu, Qiuchen Yuan, Dawei Li, Congwen Xu, Jake Luo, Zhiguang Wang
2025 J jnl
End-to-End Multi-Modal Diffusion Mamba.
CoRR
Chunhao Lu, Qiang Lu, Meichen Dong, Jake Luo
2025 — conf
Multi-Level Explainable AI for ECG-Based Atrial Fibrillation Detection: Exploring LIME, SHAP, and Grad-CAM for Clinical Interpretation.
ICMHI
Jake Luo, Amirsajjad Taleban, Patrick Noffke, Rodney Sparapani
2025 — conf
Refining Neural Network with Symbolic Regression.
GECCO Companion
Wei Wei, Qiang Lu, Can Huang, Jake Luo
2025 — conf
Risk Prediction and Interpretation for Fall Events Using Explainable AI and Large Language Models.
ICMHI
Jake Luo, Masoud Khani, Jazzmyne Adams, Qiang Lu, Kristian O'Connor, David R. Friedland
2025 B conf
Voice-Activated Self-Monitoring Application (VoiS): User Acceptance and Satisfaction in the Field.
COMPSAC
Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Shiyu Tian, Min Sook Park, Jake Luo, Sheikh Iqbal Ahamed, Evelyn Chan, Jeff Whittle
2024 B conf
Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics.
IJCNN
Mingcai Yuan, Qiang Lu, Xianhao Zeng, Jake Luo, Dawei Li
2024 — conf
An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought.
ECCV (67)
Chunhao Lu, Qiang Lu, Jake Luo
2024 A conf
Differentiable Neural Network for Assembling Blocks.
ECAI
Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo
2024 B conf
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
Adib Ahmed Anik, Paramita Basak Upama, Masud Rabbani, Shiyu Tian, Min Sook Park, Sheikh Iqbal Ahamed, Jake Luo, Hyunkyoung Oh
2024 J jnl
Prove Symbolic Regression is NP-hard by Symbol Graph.
CoRR
Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang
2024 — conf
Symbol Graph Genetic Programming for Symbolic Regression.
PPSN (1)
Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang
2023 B conf
A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions.
COMPSAC
Min Sook Park, Paramita Basak Upama, Adib Ahmed Anik, Sheikh Iqbal Ahamed, Jake Luo, Shiyu Tian, Masud Rabbani, Hyungkyoung Oh
2022 B conf
A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall.
COMPSAC
Ling Tong, Jake Luo, Jazzmyne Adams, Kristen Osinski, Xiaoyu Liu, David R. Friedland
2022 J jnl
AB-GEP: Adversarial bandit gene expression programming for symbolic regression.
Swarm Evol. Comput.
Qiang Lu, Congwen Xu, Jake Luo, Zhiguang Wang
2022 J jnl
Exploring Hidden Semantics in Neural Networks with Symbolic Regression.
CoRR
Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang
2022 A conf
Exploring hidden semantics in neural networks with symbolic regression.
GECCO
Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang
2022 J jnl
Taylor Genetic Programming for Symbolic Regression.
CoRR
Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang
2022 A conf
Taylor genetic programming for symbolic regression.
GECCO
Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang
2022 B conf
Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension.
COMPSAC
Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Jake Luo, Min Sook Park, Jeff Whittle, Sheikh Iqbal Ahamed, Hyunkyoung Oh
2021 J jnl
A deep learning study on osteosarcoma detection from histological images.
Biomed. Signal Process. Control.
D. M. Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu
2021 — conf
Adversarial bandit gene expression programming for symbolic regression.
GECCO Companion
Congwen Xu, Qiang Lu, Jake Luo, Zhiguang Wang
2021 J jnl
An anomaly detection method based on double encoder-decoder generative adversarial networks.
Ind. Robot
Hui Li, Tinglong Tang, Jake Luo, Meng Zhao, Baole Zheng, Yirong Wu
2021 J jnl
Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach.
J. Digit. Imaging
Mohammad Alarifi, Timothy B. Patrick, Abdulrahman Jabour, Min Wu, Jake Luo
2021 J jnl
Enhancing gene expression programming based on space partition and jump for symbolic regression.
Inf. Sci.
Qiang Lu, Shuo Zhou, Fan Tao, Jake Luo, Zhiguang Wang
2021 J jnl
Health Consumer Social Economic Factors and Health Conditions as Predictor for Health Literacy in Radiology Domain.
J. Medical Imaging Health Informatics
Mohammad Alarifi, Timothy B. Patrick, Abdulrahman Jabour, Min Wu, Jake Luo
2021 J jnl
Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities.
Appl. Clin. Inform.
Jake Luo, Ling Tong, Bradley H. Crotty, Melek Somai, Bradley W. Taylor, Kristen Osinski, Ben George
2020 J jnl
A Deep Learning Study on Osteosarcoma Detection from Histological Images.
CoRR
D. M. Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu
2019 J jnl
A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications.
J. Biomed. Informatics
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
2019 Misc conf
Challenges to a Data Driven Approach to Population Level Analysis of Hypersensitivity Events in Cancer Clinical Trials.
AMIA
Christina Eldredge, James E. Andrews, Maryam Zolnoori, Timothy B. Patrick, Joel Gallagher, Cesar A. Lam, Jake Luo
2019 Misc conf
Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts.
AMIA
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
2019 — conf
Machine Learning-Based Modeling of Big Clinical Trials Data for Adverse Outcome Prediction: A Case Study of Death Events.
COMPSAC (2)
Ling Tong, Jake Luo, Ron A. Cisler, Michael Cantor
2019 J jnl
Very large-scale data classification based on K-means clustering and multi-kernel SVM.
Soft Comput.
Tinglong Tang, Shengyong Chen, Meng Zhao, Wei Huang, Jake Luo
2018 J jnl
Semantic-Enhanced Query Expansion System for Retrieving Medical Image Notes.
J. Medical Syst.
Yiqing Zhao, Nooshin J. Fesharaki, Xiaohui Li, Timothy B. Patrick, Jake Luo
2018 J jnl
Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.
BMC Medical Informatics Decis. Mak.
Yiqing Zhao, Nooshin J. Fesharaki, Hongfang Liu, Jake Luo
2017 J jnl
Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization.
Int. J. Medical Informatics
Jake Luo, Weiheng Chen, Min Wu, Chunhua Weng
2016 Misc conf
Evaluating Acceptability and Efficacy of Antidepressant Medications using Patients Comments in Social Media.
AMIA
Maryam Zolnoori, Timothy B. Patrick, Mike Conway, Anthony Faiola, Jake Luo
2015 Misc conf
Bridging the Representation Gap of Medical Image and Clinical Note through Semantic Association Mining.
AMIA
Jake Luo, Timothy B. Patrick
2014 J jnl
RMS: a platform for managing cross-disciplinary and multi-institutional research project collaboration.
BMC Medical Informatics Decis. Mak.
Jake Luo, Carolyn Apperson-Hansen, Clara M. Pelfrey, Guo-Qiang Zhang