About Me
Hello! I am Hossein Entezari Zarch, a 2nd-year CS Ph.D. student at the University of Southern California, working as a Graduate Research Assistant at the USC Meta Research Center. Under the supervision of Professor Murali Annavaram in the Super Computing in Pocket (SCIP) lab, my research focuses on enhancing the efficiency and scalability of large-scale machine learning systems, particularly optimizing large language models and retrieval-augmented language models to improve their performance and applicability in production-scale scenarios.
Interests
- Large-Scale Machine Learning
- Large Language Models
- Retrieval-Augmented Generation
- Machine Learning Systems
Education
Ph.D. in Computer Science
University of Southern California
M.Sc. in Computer Science
University of Southern California
B.Sc. in Computer Engineering
University of Tehran
Recent Publications
(2024).
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data.
arXiv preprint arXiv:2407.08108.
(2022).
Feasibility study of synthetic DW-MR images with different b values compared with real DW-MR images: quantitative assessment of three models based-deep learning including CycleGAN, Pix2PiX, and DC2Anet.
Applied Magnetic Resonance.
(2021).
Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms.
Egyptian Journal of Radiology and Nuclear Medicine.
(2021).
Ensemble neural representation networks.
arXiv preprint arXiv:2110.04124.