4 citations · 5 across the 3 of their papers we have counts for
3 papers
math.NA2024
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
Haoran Deng, Yang Yang, Jiahe Li +3
Updating a truncated Singular Value Decomposition (SVD) is crucial in representation learning, especially when dealing with large-scale data matrices that continuously evolve in pr…
cs.DC2023★ 1 cited
Isolated Scheduling for Distributed Training Tasks in GPU Clusters
Xinchi Han, Weihao Jiang, Peirui Cao +5
Distributed machine learning (DML) technology makes it possible to train large neural networks in a reasonable amount of time. Meanwhile, as the computing power grows much faster t…
cs.SI2023★ 4 cited
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
Haoran Deng, Yang Yang, Jiahe Li +3
Network embedding, a graph representation learning method illustrating network topology by mapping nodes into lower-dimension vectors, is challenging to accommodate the ever-changi…