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ORCIDAbdulaziz Alhamadani
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2020 – today
- 2023
[c15]Abdulaziz Alhamadani
, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu:
From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. ASONAM 2023: 492-501- [c14]Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
Hypergraph Text Classification for Mental Health Misleading Advice. ASONAM 2023: 522-529 - [c13]Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. IEEE Big Data 2023: 5014-5023 - [c12]Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu:
CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. KDD 2023: 698-710 - [c11]Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li:
MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. SIGIR 2023: 3130-3134 - [c10]Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu:
LANS: Large-scale Arabic News Summarization Corpus. ArabicNLP 2023: 89-100 - 2022
- [c9]Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu:
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM 2022: 427-435 - [c8]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM 2022: 444-453 - [c7]Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. IEEE Big Data 2022: 693-700 - [c6]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. IEEE Big Data 2022: 5163-5172 - [c5]Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. IEEE Big Data 2022: 5338-5345 - [i1]Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Chang-Tien Lu:
LANS: Large-scale Arabic News Summarization Corpus. CoRR abs/2210.13600 (2022) - 2021
- [c4]Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu:
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. IEEE BigData 2021: 4313-4322 - [c3]Mark Manuel, Poorvesh Dongre, Abdulaziz Alhamadani, Denis Gracanin:
Supporting Embodied and Remote Collaboration in Shared Virtual Environments. HCI (9) 2021: 639-652 - 2020
- [c2]Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu:
Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) 2020: 8362-8372
2010 – 2019
- 2019
- [j1]Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu:
Batman or the joker?: the powerful urban computing and its ethics issues. ACM SIGSPATIAL Special 11(2): 16-25 (2019) - [c1]Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu:
Collect Ethically: Reduce Bias in Twitter Datasets. SIMBig 2019: 106-114
Coauthor Index
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