A comparison of SOM based document categorization systems. - Xiao Luo 002; Ayse Nur Zincir-Heywood (IJCNN, 2003)

Capturing Temporal Sequences for Text Representation Using Hierarchical SOMs. - Xiao Luo 002; Nur Zincir-Heywood (IC-AI, 2004)

Analyzing the Temporal Sequences for Text Categorization. - Xiao Luo 002; Nur Zincir-Heywood (KES, 2004)

Comparing Dimension Reduction Techniques for Document Clustering. - Bin Tang; Michael A. Shepherd; Malcolm I. Heywood; Xiao Luo 002 (Canadian AI, 2005)

Evolving recurrent models using linear GP. - Xiao Luo 002; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO, 2005)

Comparison of a SOM based sequence analysis system and naive Bayesian classifier for spam filtering. - Xiao Luo 002; Nur Zincir-Heywood (IJCNN, 2005)

Evaluation of Two Systems on Multi-class Multi-label Document Classification. - Xiao Luo 002; Nur Zincir-Heywood (ISMIS, 2005)

Evolving Recurrent Linear-GP for Document Classification and Word Tracking. - Xiao Luo 002; Nur Zincir-Heywood (IEEE Congress on Evolutionary Computation, 2006)

Incorporating Temporal Information for Document Classification. - Xiao Luo 002; Nur Zincir-Heywood (ICDE Workshops, 2007)

Predictive Analysis on Tracking Emails for Targeted Marketing. - Xiao Luo 002; Revanth Nadanasabapathy; Nur Zincir-Heywood; Keith Gallant; Janith Peduruge (Discovery Science, 2015)

Extracting Modifiable Risk Factors from Narrative Preventive Healthcare Guidelines for EHR Integration. - Setu Shah; Xiao Luo 002 (BIBE, 2017)

Analyzing the Correlations between the Uninsured and Diabetes Prevalence Rates in Geographic Regions in the United States. - Xiao Luo 002 (CHASE, 2017)

Exploring diseases based biomedical document clustering and visualization using self-organizing maps. - Setu Shah; Xiao Luo 002 (Healthcom, 2017)

Exploring a service-based normal behaviour profiling system for botnet detection. - Weikeng Chen; Xiao Luo 002; Nur Zincir-Heywood (IM, 2017)

Investigation of malicious portable executable file detection on the network using supervised learning techniques. - Rushabh Vyas; Xiao Luo 002; Nichole McFarland; Connie Justice (IM, 2017)

Are Recent Terrorism Trends Reflected in Social Media? - Ivana Terziyska; Setu Shah; Xiao Luo 002 (MASS, 2017)

Data analytics for modeling and visualizing attack behaviors: A case study on SSH brute force attacks. - Chengchao Yao; Xiao Luo 002; Nur Zincir-Heywood (SSCI, 2017)

County-level geographic distributions of diabetes in relation to multiple factors in the united states. - Gulzhahan Oraz; Xiao Luo 002 (BHI, 2018)

Comparison of deep learning based concept representations for biomedical document clustering. - Setu Shah; Xiao Luo 002 (BHI, 2018)

Incorporating Syntactic Dependencies into Semantic Word Vector Model for Medical Text Processing. - Maia Iyer; Christopher Zou; Xiao Luo 002 (BIBM, 2018)

Identify the Maximal Cluster of Hosts Based on Data Fusion and Machine Learning Algorithms for Intrusion Detection. - Lena Ara; Xiao Luo 002 (BigDataSecurity/HPSC/IDS, 2018)

Evading Deep Neural Network and Random Forest Classifiers by Generating Adversarial Samples. - Erick Eduardo Bernal Martinez; Bella Oh; Feng Li 001; Xiao Luo 002 (FPS, 2018)

Improving the Global, International and Intercultural (GII) Competencies of IT Students via Integrated Collaboration During Study Abroad. - Rob Elliott; Xiao Luo 002 (SIGITE, 2018)

Improve Integrated Learning in Computer Information Technology through Cross-Curricular Instruction? - Xiao Luo 002; Connie Justice (SIGITE, 2018)

Biomedical Document Clustering and Visualization based on the Concepts of Diseases. - Setu Shah; Xiao Luo 002 (CoRR, 2018)

Automate the Peripheral Arterial Disease Prediction in Lower Extremity Arterial Doppler Study using Machine Learning and Neural Networks. - Lena Ara; Xiao Luo 002; Alan Sawchuk; Dave Rollins (BCB, 2019)

Identifying Symptom Clusters in Breast Cancer and Colorectal Cancer Patients using EHR Data. - Priyanka Gandhi; Xiao Luo 002; Susan Storey; Zuoyi Zhang; Zhi Han; Kun Huang 001 (BCB, 2019)

Integrated Education of Data Analytics and Information Security through Cross-Curricular Activities. - Xiao Luo 002; Connie Justice; Brandon Herald Sorge (FIE, 2019)

Incorporate Cross-Course Knowledge Integration into Computing Education. - Shamima Mithun; Xiao Luo 002 (FIE, 2019)

Modeling Vehicle-Pedestrian Encountering Risks in the Natural Driving Environment Using Machine Learning Algorithms. - Priyanka Gandhi; Xiao Luo 002; Renran Tian (HCI (16), 2019)

A Data-Driven Network Intrusion Detection Model Based on Host Clustering and Integrated Learning: A Case Study on Botnet Detection. - Lena Ara; Xiao Luo 002 (SpaCCS, 2019)

Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT. - Matthew Tang; Priyanka Gandhi; Md. Ahsanul Kabir; Christopher Zou; Jordyn Blakey; Xiao Luo 002 (CoRR, 2019)

Neural networks for mining the associations between diseases and symptoms in clinical notes. - Setu Shah; Xiao Luo 002; Saravanan Kanakasabai; Ricardo Tuason; Gregory Klopper (Health Inf. Sci. Syst., 2019)

Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations. - Yu Lu; Xiao Luo 002; Zhan Zhang; Haoran Ding; Zhe He 001 (AMIA, 2020)

Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. - Xiao Luo 002; Haoran Ding; Matthew Tang; Priyanka Gandhi; Zhan Zhang; Zhe He 001 (BIBM, 2020)

Unsupervised Learning for Network Flow Based Anomaly Detection in the Era of Deep Learning. - Md. Ahsanul Kabir; Xiao Luo 002 (BigDataService, 2020)

Demonstrating the Impact of International Collaborative Disciplinary Experiences on Student Global, International, and Intercultural Competencies. - Rob Elliott; Xiao Luo 002 (FIE, 2020)

Design and Evaluate the Factors for Flipped Classrooms for Data Management Courses. - Shamima Mithun; Xiao Luo 002 (FIE, 2020)

A Framework for Modeling Knowledge Graphs via Processing Natural Descriptions of Vehicle-Pedestrian Interactions. - Md. Fazle Elahi Khan; Xiao Luo 002; Renran Tian (HCI (47), 2020)

BalNode2Vec: Balanced Random Walk based Versatile Feature Learning for Networks. - Amirreza Salamat; Xiao Luo 002; Ali Jafari (IJCNN, 2020)

DeepNote-GNN: predicting hospital readmission using clinical notes and patient network. - Sara Nouri Golmaei; Xiao Luo 002 (BCB, 2021)

Neural Topic Modeling to Understand Breast Cancer Peer-to-peer Online Information Seeking at Diagnosis. - Xiao Luo 002; Sahil Kumar; Natalie Lambert (BHI, 2021)

Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models. - Jithesh Gugan Sreeram; Xiao Luo 002; Renran Tian (DaWaK, 2021)

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions. - Haoran Ding; Xiao Luo 002 (EMNLP (1), 2021)

Evaluating Factors for Effective Flipped Classroom Instruction in an Advanced Data Management Course. - Shamima Mithun; Morgan Vickery; Xiao Luo 002 (FIE, 2021)

Pregnancy-Related Information Seeking in Online Health Communities: A Qualitative Study. - Yu Lu; Zhan Zhang; Katherine Min; Xiao Luo 002; Zhe He 001 (iConference (2), 2021)

A Novel Adaptation of Information Extraction Algorithm to Process Natural Text Descriptions of Pedestrian Encounters. - Md. Fazle Elahi Khan; Jithesh Gugan Sreeram; Xiao Luo 002; Renran Tian (ITSC, 2021)

Applying interpretable deep learning models to identify chronic cough patients using EHR data. - Xiao Luo 002; Priyanka Gandhi; Zuoyi Zhang; Wei Shao 005; Zhi Han; Vasu Chandrasekaran; Vladimir Turzhitsky; Vishal Bali; Anna R. Roberts; Megan Metzger; Jarod Baker; Carmen La Rosa; et al. (Comput. Methods Programs Biomed., 2021)

Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data. - Xiao Luo 002; Susan Storey; Priyanka Gandhi; Zuoyi Zhang; Megan Metzger; Kun Huang 001 (Health Informatics J., 2021)

Modelling and visualising SSH brute force attack behaviours through a hybrid learning framework. - Xiao Luo 002; Chengchao Yao; Nur Zincir-Heywood (Int. J. Inf. Comput. Secur., 2021)

HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations. - Amirreza Salamat; Xiao Luo 002; Ali Jafari (Knowl. Based Syst., 2021)

A Computational Framework to Analyze the Associations Between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data. - Xiao Luo 002; Priyanka Gandhi; Susan Storey; Zuoyi Zhang; Zhi Han; Kun Huang 001 (IEEE J. Biomed. Health Informatics, 2021)

ReferEmo: A Referential Quasi-multimodal Model for Multilabel Emotion Classification. - Alvar Esperanca; Xiao Luo 002 (DEXA (1), 2022)

InAction: Interpretable Action Decision Making for Autonomous Driving. - Taotao Jing; Haifeng Xia; Renran Tian; Haoran Ding; Xiao Luo 002; Joshua E. Domeyer; Rini Sherony; Zhengming Ding (ECCV (38), 2022)

Learning Management System Analytics to Examine the Behavior of Students in High Enrollment STEM Courses During the Transition to Online Instruction. - Rob Elliott; Xiao Luo 002 (FIE, 2022)

Hands-Free Electronic Documentation in Emergency Care Work Through Smart Glasses. - Zhan Zhang; Xiao Luo 002; Richard Harris; Susanna George; Jack Finkelstein (iConference (2), 2022)

AGRank: Augmented Graph-based Unsupervised Keyphrase Extraction. - Haoran Ding; Xiao Luo 002 (AACL/IJCNLP (1), 2022)

Flexible and scalable annotation tool to develop scene understanding datasets. - Md. Fazle Elahi Khan; Renran Tian; Xiao Luo 002 (HILDA@SIGMOD, 2022)

Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data. - Wei Shao 005; Xiao Luo 002; Zuoyi Zhang; Zhi Han; Vasu Chandrasekaran; Vladimir Turzhitsky; Vishal Bali; Anna R. Roberts; Megan Metzger; Jarod Baker; Carmen La Rosa; Jessica Weaver; et al. (BMC Bioinform., 2022)

Attention-based Unsupervised Keyphrase Extraction and Phrase Graph for COVID-19 Medical Literature Retrieval. - Haoran Ding; Xiao Luo 002 (ACM Trans. Comput. Heal., 2022)

Informative Causality Extraction from Medical Literature via Dependency-Tree-Based Patterns. - Md. Ahsanul Kabir; Aljohara Almulhim; Xiao Luo 002; Mohammad Al Hasan (J. Heal. Informatics Res., 2022)

A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media. - Xiao Luo 002; Priyanka Gandhi; Susan Storey; Kun Huang 001 (IEEE J. Biomed. Health Informatics, 2022)

Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. - Neel Bhate; Ansh Mittal; Zhe He 001; Xiao Luo 002 (IEEE Big Data, 2023)

Unsupervised Keyword Extraction for Hashtag Recommendation in Social Media. - Behafarid Mohammad Jafari; Xiao Luo 002; Ali Jafari (FLAIRS, 2023)

DynamicG2B: Dynamic Node Classification with Layered Graph Neural Networks and BiLSTM. - Fattah Muhammad Tahabi; Xiao Luo 002 (FLAIRS, 2023)

Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains. - Jinjin Cai; Sudip Vhaduri; Xiao Luo 002 (INTERSPEECH, 2023)

Improving Perceptions of Underrepresented Students towards Computing Majors through Mentoring. - Shamima Mithun; Xiao Luo 002 (ITiCSE (1), 2023)

SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering. - Fattah Muhammad Tahabi; Susan Storey; Xiao Luo 002 (SAC, 2023)

Patient-GAT: Sarcopenia Prediction using Multi-modal Data Fusion and Weighted Graph Attention Networks. - Cary Xiao; Nam Pham; Erik Imel; Xiao Luo 002 (SAC, 2023)

Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Periods. - Behafarid Mohammad Jafari; Xiao Luo 002; Ali Jafari (CoRR, 2023)

ASPER: Attention-based approach to extract syntactic patterns denoting semantic relations in sentential context. - Md. Ahsanul Kabir; Tyler Phillips 001; Xiao Luo 002; Mohammad Al Hasan (Nat. Lang. Process. J., 2023)

Lab-AI - Retrieval-Augmented Language Model for Personalized Lab Test Interpretation in Clinical Medicine. - Xiaoyu Wang; Haoyong Ouyang; Balu Bhasuran; Xiao Luo 002; Karim Hanna; Mia Liza A. Lustria; Zhe He 001 (CoRR, 2024)

Assessing Personalized AI Mentoring with Large Language Models in the Computing Field. - Xiao Luo 002; Sean O'Connell; Shamima Mithun (CoRR, 2024)

Integrating data-driven and knowledge-driven approaches to analyze clinical notes with structured data for sarcopenia detection. - Xiao Luo 002; Haoran Ding; Stuart J. Warden; Ranjani N. Moorthi; Erik Imel (Health Informatics J., 2024)

Zero-shot learning to extract assessment criteria and medical services from the preventive healthcare guidelines using large language models. - Xiao Luo 002; Fattah Muhammad Tahabi; Tressica Marc; Laura Ann Haunert; Susan Storey (J. Am. Medical Informatics Assoc., 2024)

Benchmarking Large Language Models for Log Analysis, Security, and Interpretation. - Egil Karlsen; Xiao Luo 002; Nur Zincir-Heywood; Malcolm I. Heywood (J. Netw. Syst. Manag., 2024)

Large language models and unsupervised feature learning: implications for log analysis. - Egil Karlsen; Xiao Luo 002; Nur Zincir-Heywood; Malcolm I. Heywood (Ann. des Télécommunications, 2024)

Lab-Ai: Using Retrieval Augmentation to Enhance Language Models for Personalized Lab Test Interpretation in Clinical Medicine. - Xiaoyu Wang; Haoyong Ouyang; Balu Bhasuran; Xiao Luo 002; Karim Hanna; Mia Liza A. Lustria; Zhe He 001 (ICHI, 2025)

Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services. - Enze Bai; Xiao Luo 002; Zhan Zhang; Kathleen Adelgais; Humaira Ali; Jack Finkelstein; Jared Kutzin (J. Medical Syst., 2025)

Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems. - Enze Bai; Zhan Zhang; Yincao Xu; Xiao Luo 002; Kathleen Adelgais (BMC Medical Informatics Decis. Mak., 2025)