Skip to content

Author

Quanyu Zhu

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Aug 2026

RecCompl: Efficient Model Compilation for Industrial Scale Recommendation Models with PyTorch 2

RecCompl is a comprehensive model compilation system that enables efficient model compilation of industrial scale DLRMs with PT2 and introduces a configuration-based user interface that decouples compilation settings from model code, allowing fine-grained control without intrusive changes.

Changji Li, Shuai Yang, Yuzhen Huang et al. · 0 citations
Book Open access Jul 2026

Optimus: A Generic Operator-Level PyTorch Model Transformation Framework

Optimus is a general-purpose model transformation framework built in the PyTorch 2.x (PT2) machine learning compiler that applies an efficient greedy search algorithm for pattern matching and replacement, while preserving model semantic.

Menglu Yu, Jiaqi Xu, Yuzhen Huang et al. · 0 citations