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

Batman or the joker?: the powerful urban computing and its ethics issues. - Kaiqun Fu; Abdulaziz Alhamadani; Taoran Ji; Chang-Tien Lu (ACM SIGSPATIAL Special, 2019)

Towards More Accurate Uncertainty Estimation In Text Classification. - Jianfeng He; Xuchao Zhang; Shuo Lei; Zhiqian Chen; Fanglan Chen; Abdulaziz Alhamadani; Bei Xiao; Chang-Tien Lu (EMNLP (1), 2020)

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)

Supporting Embodied and Remote Collaboration in Shared Virtual Environments. - Mark Manuel; Poorvesh Dongre; Abdulaziz Alhamadani; Denis Gracanin (HCI (9), 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)

Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. - Shailik Sarkar; Abdulaziz Alhamadani; Chang-Tien Lu (IEEE Big Data, 2022)

LANS: Large-scale Arabic News Summarization Corpus. - Abdulaziz Alhamadani; Xuchao Zhang; Jianfeng He; Chang-Tien Lu (CoRR, 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)

More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. - Rocco Zhang; Shailik Sarkar; Abdulaziz Alhamadani; Chang-Tien Lu (IEEE Big Data, 2023)

CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. - Jianfeng He; Xuchao Zhang; Shuo Lei; Abdulaziz Alhamadani; Fanglan Chen; Bei Xiao; Chang-Tien Lu (KDD, 2023)

MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. - Jianfeng He; Syuan-Ying Wu; Abdulaziz Alhamadani; Chih-Fang Chen; Wen-Fang Lu; Chang-Tien Lu; David Solnick; Yanlin Li 008 (SIGIR, 2023)

LANS: Large-scale Arabic News Summarization Corpus. - Abdulaziz Alhamadani; Xuchao Zhang; Jianfeng He; Aadyant Khatri; Chang-Tien Lu (ArabicNLP, 2023)

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)

IntelliSMART: Intelligent Semantic Machine-Assisted Research Tool. - Aadyant Khatri; Nicolas Egierski; Ashutosh Pochamreddy; Abdulaziz Alhamadani; Shailik Sarkar; Chang-Tien Lu (ASONAM (4), 2024)

Optimizing Airline Destinations with AIRNODE: A Graph Attention Network Approach. - Abdul Raheem Shaik; Abdulaziz Alhamadani; Shailik Sarkar; Chang-Tien Lu (ASONAM (4), 2024)