Abdulaziz Alhamadani

According to our database, Abdulaziz Alhamadani authored at least 23 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

STALKER: Composed Quasi-Identifiers and LLM-Amplified Behavioral Leakage in Anonymized Marketplace Data.

Anastasiya Dmytryk, Sami El Yaagoubi, Lucas Batista, Philipp Kouterguine, Samuel Gerken, Abdulaziz Alhamadani, Karim Elish

Proceedings of the 12th ACM International Workshop on Security and Privacy Analytics, 2026

Learning to Predict Delivery Delays: An Analytical Study of Machine Learning and Oversampling Strategies.

Noelle Hartman, Shailik Sarkar, Abdulaziz Alhamadani

Proceedings of the 2026 9th International Conference on Information and Computer Technologies, 2026

2025

CAEW: An Explainable Approach to Understanding EEG Patterns in Major Depressive Disorder.

Benjamin Bowman, Abdulaziz Alhamadani, Shailik Sarkar, Bayazit Karaman

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Optimizing Airline Destinations with AIRNODE: A Graph Attention Network Approach.

Abdul Raheem Shaik, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

IntelliSMART: Intelligent Semantic Machine-Assisted Research Tool.

Aadyant Khatri, Nicolas Egierski, Ashutosh Pochamreddy, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 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

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

2023

LANS: Large-scale Arabic News Summarization Corpus.

Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the IEEE International Conference on Big Data, 2023

Hypergraph Text Classification for Mental Health Misleading Advice.

Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

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

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

LANS: Large-scale Arabic News Summarization Corpus.

Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Chang-Tien Lu

CoRR, 2022

Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties.

Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets.

Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data.

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach.

Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit.

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Supporting Embodied and Remote Collaboration in Shared Virtual Environments.

Mark Manuel, Poorvesh Dongre, Abdulaziz Alhamadani, Denis Gracanin

Proceedings of the Virtual, Augmented and Mixed Reality, 2021

Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis.

Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Collect Ethically: Reduce Bias in Twitter Datasets.

Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu

Proceedings of the Information Management and Big Data - 6th International Conference, 2019