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Abdulla Alshabanah
Observed name:
Alshabanah, Abdulla
Institutions:
University of Southern California,
King Fahd University of Petroleum and Minerals
Observed institutions:
University of Southern California,
King Fahd University of Petroleum and Minerals
ORCID:
0009-0009-7619-874X
Observed ORCID:
0009-0009-7619-874X
OpenAlex ID:
A5007990050
cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models
2021
·
Keshav Balasubramanian
, Abdulla Alshabanah
, et al.
·
ACM Conference on Recommender Systems (RecSys)
·
22
PDF
Biased User History Synthesis for Personalized Long-Tail Item Recommendation
2024
·
Keshav Balasubramanian
, Abdulla Alshabanah
, et al.
·
ACM Conference on Recommender Systems (RecSys)
·
8
The Upside of Bias: Personalizing Long-Tail Item Recommendations with Biased Sampling
2025
·
Abdulla Alshabanah
, Keshav Balasubramanian
, et al.
·
ACM Transactions on Recommender Systems
·
3
PDF
Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning
2025
·
Abdulla Alshabanah
, Keshav Balasubramanian
, et al.
·
Proceedings on Privacy Enhancing Technologies
·
2
PDF
On Using Arabic Language Dialects in Recommendation Systems
2025
·
Abdulla Alshabanah
, Murali Annavaram
·
Findings of the Association for Computational Linguistics: NAACL
·
2
PDF
Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems
2025
·
Abdulla Alshabanah
, Murali Annavaram
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
2
PDF
SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations
2026
·
Abdulla Alshabanah
, Yuxin Yang
, et al.
·
ACM International Conference on Web Search and Data Mining (WSDM)
·
1
LEAF: Lightweight, Efficient, Adaptive and Flexible Embedding for Large-Scale Recommendation Models
2025
·
Chaoyi Jiang
, Abdulla Alshabanah
, et al.
·
ACM Conference on Recommender Systems (RecSys)
·
1
PDF
HuffmanEmbed: Using Huffman Coding for Embedding Table Compression in Deep Learning Recommendation Models
2026
·
Chaoyi Jiang
, Abdulla Alshabanah
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
2024
·
Zarch, Hossein Entezari
, Alshabanah, Abdulla
, et al.
·
arXiv (Cornell University)
PDF
Characterizing ML training performance at the tactical edge
2022
·
Abdulla Alshabanah
, Keshav Balasubramanian
, et al.
·
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
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Works count:
12
Citation count:
41
H-index:
3
I10-index:
1
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