14 citations · 21 across the 4 of their papers we have counts for
4 papers
Two-dimensional Sparse Parallelism for Large Scale Deep Learning Recommendation Model Training
Xin Zhang, Quanyu Zhu, Liangbei Xu +8
The increasing complexity of deep learning recommendation models (DLRM) has led to a growing need for large-scale distributed systems that can efficiently train vast amounts of dat…
Robust One-step Speech Enhancement via Consistency Distillation
Liang Xu, Longfei Felix Yan, W. Bastiaan Kleijn
Diffusion models have shown strong performance in speech enhancement, but their real-time applicability has been limited by multi-step iterative sampling. Consistency distillation…
Dynamic Knowledge embedding and tracing
Liangbei Xu, Mark A. Davenport
The goal of knowledge tracing is to track the state of a student's knowledge as it evolves over time. This plays a fundamental role in understanding the learning process and is a k…
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
Liangbei Xu, Mark A. Davenport
Low-rank matrix factorizations arise in a wide variety of applications -- including recommendation systems, topic models, and source separation, to name just a few. In these and ma…