16 citations · 18 across the 4 of their papers we have counts for
4 papers
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
Qian Zhao, Hao Qian, Ziqi Liu +2
Recommendation systems are widely used in e-commerce websites and online platforms to address information overload. However, existing systems primarily rely on historical data and…
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li +1
Distributed sparse learning with a cluster of multiple machines has attracted much attention in machine learning, especially for large-scale applications with high-dimensional data…
Feature-Distributed SVRG for High-Dimensional Linear Classification
Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao +1
Linear classification has been widely used in many high-dimensional applications like text classification. To perform linear classification for large-scale tasks, we often need to…
Lock-Free Optimization for Non-Convex Problems
Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
Stochastic gradient descent~(SGD) and its variants have attracted much attention in machine learning due to their efficiency and effectiveness for optimization. To handle large-sca…