Recognizing Images of Eating Disorders in Social Media. - Robert Pless; Rebecca Begtrup; Lulwah Alkulaib; Samsara N. Counts; James Harnett; Justine-Louise Manning; Hong Xuan; David A. Broniatowski (SMM4H@AMIA, 2017)

Detecting and Characterizing Bot-Like Behavior on Twitter. - SiHua Qi; Lulwah Alkulaib; David A. Broniatowski (SBP-BRiMS, 2018)

Collect Ethically: Reduce Bias in Twitter Datasets. - Lulwah Alkulaib; Abdulaziz Alhamadani; Taoran Ji; Chang-Tien Lu (SIMBig, 2019)

Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. - Abdulaziz Alhamadani; Shailik Sarkar; Lei Zhang 158; Lulwah Alkulaib; Chang-Tien Lu (IEEE BigData, 2021)

PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. - Abdulaziz Alhamadani; Shailik Sarkar; Lulwah Alkulaib; Chang-Tien Lu (ASONAM, 2022)

Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. - Shailik Sarkar; Abdulaziz Alhamadani; Lulwah Alkulaib; Chang-Tien Lu (ASONAM, 2022)

DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. - Abdulaziz Alhamadani; Shailik Sarkar; Lulwah Alkulaib; Chang-Tien Lu (IEEE Big Data, 2022)

HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. - Lulwah Alkulaib; Abdulaziz Alhamadani; Shailik Sarkar; Chang-Tien Lu (IEEE Big Data, 2022)

Twitter Bot Identification: An Anomaly Detection Approach. - Lulwah Alkulaib; Lei Zhang 158; Yanshen Sun; Chang-Tien Lu (IEEE Big Data, 2022)

From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. - Abdulaziz Alhamadani; Khadija Althubiti; Shailik Sarkar; Jianfeng He; Lulwah Alkulaib; Srishti Behal; Mahmood Khan; Chang-Tien Lu (ASONAM, 2023)

Hypergraph Text Classification for Mental Health Misleading Advice. - Lulwah Alkulaib; Abdulaziz Alhamadani; Shailik Sarkar; Chang-Tien Lu (ASONAM, 2023)

UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. - Melike Yildiz Aktas; Lulwah Alkulaib; Chang-Tien Lu (IEEE Big Data, 2023)

Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. - Lulwah Alkulaib; Chang-Tien Lu (IEEE Big Data, 2023)

Enhancing School Success Prediction with FRC and Merged GNN. - Melike Yildiz Aktas; Aadyant Khatri; Mariam Almutairi; Lulwah Alkulaib; Chang-Tien Lu (ASONAM (3), 2024)

Empowering Airline Route Decisions with LLM-Generated Pseudo-labels and Zero-Shot Review Prediction. - Abdulaziz Alhamadani; Khadija Althubiti; Jianfeng He; Shailik Sarkar; Lulwah Alkulaib; Abdul Raheem Shaik; Seungwon Lee; Mahmood Khan; Chang-Tien Lu (ASONAM (4), 2024)

HyperSMOTE-MC: Enhancing Multiclass Bot Detection on X Through Hypergraph-Based Resampling. - Lulwah Alkulaib; Chang-Tien Lu (ASONAM (4), 2024)

FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics. - Mariam Almutairi; Lulwah Alkulaib; Shengkun Wang; Zhiqian Chen; Youssif ALMutairi; Thamer M. Alenazi; Kurt Luther; Chang-Tien Lu (BCB, 2024)

Adaptive Hierarchical GHSOM with Federated Learning for Context-Aware Anomaly Detection in IoT Networks. - Lulwah Alkulaib (IEEE Big Data, 2024)

Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques. - Mariam Almutairi; Lulwah Alkulaib; Melike Yildiz Aktas; Sara A. Alsalamah; Chang-Tien Lu (ArabicNLP, 2024)

Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction. - Lulwah Alkulaib (2024)