| 2026 | SIGIR | HuffmanEmbed: Using Huffman Coding for Embedding Table Compression in Deep Learning Recommendation Models. | Chaoyi Jiang, Abdulla Alshabanah, Hossein Entezari Zarch, Keshav Balasubramanian, Murali Annavaram |
| 2026 | WSDM | SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations. | Abdulla Alshabanah, Yuxin Yang, Murali Annavaram |
| 2025 | EMNLP | Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems. | Abdulla Alshabanah, Murali Annavaram |
| 2025 | NAACL | On Using Arabic Language Dialects in Recommendation Systems. | Abdulla Alshabanah, Murali Annavaram |
| 2025 | RecSys | LEAF: Lightweight, Efficient, Adaptive and Flexible Embedding for Large-Scale Recommendation Models. | Chaoyi Jiang, Abdulla Alshabanah, Murali Annavaram |
| 2024 | RecSys | Biased User History Synthesis for Personalized Long-Tail Item Recommendation. | Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram |
| 2021 | RecSys | cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models. | Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram |