Xiao Luo
Orcid: 0000-0002-3649-9785Affiliations:
- Purdue School of Engineering and Technology, Indianapolis, IN, USA
According to our database1,
Xiao Luo
authored at least 49 papers
between 2017 and 2023.
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Bibliography
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
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
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 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
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context.
CoRR, 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
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
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
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
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
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
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