Lulwah Alkulaib

22 papers A* 1B 10Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
HyperModal: Dynamic Hypergraph Contrastive Learning for Multi-Modal Representation.
ICDM
Lulwah Alkulaib
2025 — conf
TrendScope: A Temporal Hypergraph Framework for Food Trend Discovery.
ASONAM (3)
Lulwah Alkulaib
2024 B conf
Adaptive Hierarchical GHSOM with Federated Learning for Context-Aware Anomaly Detection in IoT Networks.
IEEE Big Data
Lulwah Alkulaib
2024 — —
Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction.
Lulwah Alkulaib
2024 — conf
Empowering Airline Route Decisions with LLM-Generated Pseudo-labels and Zero-Shot Review Prediction.
ASONAM (4)
Abdulaziz Alhamadani, Khadija Althubiti, Jianfeng He, Shailik Sarkar, Lulwah Alkulaib, Abdul Raheem Shaik, Seungwon Lee, Mahmood Khan, Chang-Tien Lu
2024 — conf
Enhancing School Success Prediction with FRC and Merged GNN.
ASONAM (3)
Melike Yildiz Aktas, Aadyant Khatri, Mariam Almutairi, Lulwah Alkulaib, Chang-Tien Lu
2024 — conf
FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics.
BCB
Mariam Almutairi, Lulwah Alkulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, Chang-Tien Lu
2024 — conf
HyperSMOTE-MC: Enhancing Multiclass Bot Detection on X Through Hypergraph-Based Resampling.
ASONAM (4)
Lulwah Alkulaib, Chang-Tien Lu
2024 — conf
Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques.
ArabicNLP
Mariam Almutairi, Lulwah Alkulaib, Melike Yildiz Aktas, Sara A. Alsalamah, Chang-Tien Lu
2023 B conf
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification.
IEEE Big Data
Lulwah Alkulaib, Chang-Tien Lu
2023 B conf
From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry.
ASONAM
Abdulaziz Alhamadani, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu
2023 B conf
Hypergraph Text Classification for Mental Health Misleading Advice.
ASONAM
Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2023 B conf
UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset.
IEEE Big Data
Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu
2022 B conf
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data.
IEEE Big Data
Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
2022 B conf
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets.
IEEE Big Data
Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2022 B conf
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit.
ASONAM
Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
2022 B conf
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach.
ASONAM
Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu
2022 B conf
Twitter Bot Identification: An Anomaly Detection Approach.
IEEE Big Data
Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu
2021 — conf
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis.
IEEE BigData
Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu
2019 — conf
Collect Ethically: Reduce Bias in Twitter Datasets.
SIMBig
Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
2018 — conf
Detecting and Characterizing Bot-Like Behavior on Twitter.
SBP-BRiMS
SiHua Qi, Lulwah Alkulaib, David A. Broniatowski
2017 — conf
Recognizing Images of Eating Disorders in Social Media.
SMM4H@AMIA
Robert Pless, Rebecca Begtrup, Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski