Xiao Luo
Orcid: 0000-0002-3649-9785Affiliations:
- Oklahoma State University, Stillwater, OK, USA
- IUPUI, Indianapolis, IN, USA
According to our database1,
Xiao Luo
authored at least 80 papers
between 2003 and 2025.
Collaborative distances:
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Bibliography
2025
Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems.
BMC Medical Informatics Decis. Mak., December, 2025
Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.
J. Medical Syst., December, 2025
Lab-Ai: Using Retrieval Augmentation to Enhance Language Models for Personalized Lab Test Interpretation in Clinical Medicine.
Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025
2024
Large language models and unsupervised feature learning: implications for log analysis.
Ann. des Télécommunications, December, 2024
J. Netw. Syst. Manag., July, 2024
Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using large language models.
J. Am. Medical Informatics Assoc., 2024
Integrating data-driven and knowledge-driven approaches to analyze clinical notes with structured data for sarcopenia detection.
Health Informatics J., 2024
Assessing Personalized AI Mentoring with Large Language Models in the Computing Field.
CoRR, 2024
Lab-AI - Retrieval-Augmented Language Model for Personalized Lab Test Interpretation in Clinical Medicine.
CoRR, 2024
2023
ASPER: Attention-based approach to extract syntactic patterns denoting semantic relations in sentential context.
Nat. Lang. Process. J., 2023
Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Periods.
CoRR, 2023
Patient-GAT: Sarcopenia Prediction using Multi-modal Data Fusion and Weighted Graph Attention Networks.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Improving Perceptions of Underrepresented Students towards Computing Majors through Mentoring.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023
Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
DynamicG2B: Dynamic Node Classification with Layered Graph Neural Networks and BiLSTM.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media.
IEEE J. Biomed. Health Informatics, 2022
Informative Causality Extraction from Medical Literature via Dependency-Tree-Based Patterns.
J. Heal. Informatics Res., 2022
Attention-based Unsupervised Keyphrase Extraction and Phrase Graph for COVID-19 Medical Literature Retrieval.
ACM Trans. Comput. Heal., 2022
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.
BMC Bioinform., 2022
Proceedings of the HILDA@SIGMOD 2022: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2022
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022
Learning Management System Analytics to Examine the Behavior of Students in High Enrollment STEM Courses During the Transition to Online Instruction.
Proceedings of the IEEE Frontiers in Education Conference, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
ReferEmo: A Referential Quasi-multimodal Model for Multilabel Emotion Classification.
Proceedings of the Database and Expert Systems Applications, 2022
2021
A Computational Framework to Analyze the Associations Between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data.
IEEE J. Biomed. Health Informatics, 2021
HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations.
Knowl. Based Syst., 2021
Modelling and visualising SSH brute force attack behaviours through a hybrid learning framework.
Int. J. Inf. Comput. Secur., 2021
Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data.
Health Informatics J., 2021
Applying interpretable deep learning models to identify chronic cough patients using EHR data.
Comput. Methods Programs Biomed., 2021
A Novel Adaptation of Information Extraction Algorithm to Process Natural Text Descriptions of Pedestrian Encounters.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Pregnancy-Related Information Seeking in Online Health Communities: A Qualitative Study.
Proceedings of the Diversity, Divergence, Dialogue, 2021
Evaluating Factors for Effective Flipped Classroom Instruction in an Advanced Data Management Course.
Proceedings of the IEEE Frontiers in Education Conference, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021
Neural Topic Modeling to Understand Breast Cancer Peer-to-peer Online Information Seeking at Diagnosis.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
DeepNote-GNN: predicting hospital readmission using clinical notes and patient network.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
A Framework for Modeling Knowledge Graphs via Processing Natural Descriptions of Vehicle-Pedestrian Interactions.
Proceedings of the HCI International 2020 - Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments, 2020
Proceedings of the IEEE Frontiers in Education Conference, 2020
Demonstrating the Impact of International Collaborative Disciplinary Experiences on Student Global, International, and Intercultural Competencies.
Proceedings of the IEEE Frontiers in Education Conference, 2020
Unsupervised Learning for Network Flow Based Anomaly Detection in the Era of Deep Learning.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020
Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations.
Proceedings of the AMIA 2020, 2020
2019
Neural networks for mining the associations between diseases and symptoms in clinical notes.
Health Inf. Sci. Syst., 2019
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT.
CoRR, 2019
A Data-Driven Network Intrusion Detection Model Based on Host Clustering and Integrated Learning: A Case Study on Botnet Detection.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2019
Modeling Vehicle-Pedestrian Encountering Risks in the Natural Driving Environment Using Machine Learning Algorithms.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body and Motion, 2019
Proceedings of the IEEE Frontiers in Education Conference, 2019
Integrated Education of Data Analytics and Information Security through Cross-Curricular Activities.
Proceedings of the IEEE Frontiers in Education Conference, 2019
Identifying Symptom Clusters in Breast Cancer and Colorectal Cancer Patients using EHR Data.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Automate the Peripheral Arterial Disease Prediction in Lower Extremity Arterial Doppler Study using Machine Learning and Neural Networks.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
CoRR, 2018
Improve Integrated Learning in Computer Information Technology through Cross-Curricular Instruction?
Proceedings of the 19th Annual SIG Conference on Information Technology Education, 2018
Improving the Global, International and Intercultural (GII) Competencies of IT Students via Integrated Collaboration During Study Abroad.
Proceedings of the 19th Annual SIG Conference on Information Technology Education, 2018
Evading Deep Neural Network and Random Forest Classifiers by Generating Adversarial Samples.
Proceedings of the Foundations and Practice of Security - 11th International Symposium, 2018
Identify the Maximal Cluster of Hosts Based on Data Fusion and Machine Learning Algorithms for Intrusion Detection.
Proceedings of the 4th IEEE International Conference on Big Data Security on Cloud, 2018
Incorporating Syntactic Dependencies into Semantic Word Vector Model for Medical Text Processing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Comparison of deep learning based concept representations for biomedical document clustering.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
County-level geographic distributions of diabetes in relation to multiple factors in the united states.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Data analytics for modeling and visualizing attack behaviors: A case study on SSH brute force attacks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017
Investigation of malicious portable executable file detection on the network using supervised learning techniques.
Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017
Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017
Exploring diseases based biomedical document clustering and visualization using self-organizing maps.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017
Analyzing the Correlations between the Uninsured and Diabetes Prevalence Rates in Geographic Regions in the United States.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
Extracting Modifiable Risk Factors from Narrative Preventive Healthcare Guidelines for EHR Integration.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017
2015
Proceedings of the Discovery Science - 18th International Conference, 2015
2007
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007
2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005
Comparison of a SOM based sequence analysis system and naive Bayesian classifier for spam filtering.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Advances in Artificial Intelligence, 2005
2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
Capturing Temporal Sequences for Text Representation Using Hierarchical SOMs.
Proceedings of the International Conference on Artificial Intelligence, 2004
2003
Proceedings of the International Joint Conference on Neural Networks, 2003