3 papers
cs.LG2025
Sharpness-aware Second-order Latent Factor Model for High-dimensional and Incomplete Data
Jialiang Wang, Xueyan Bao, Hao Wu
Second-order Latent Factor (SLF) model, a class of low-rank representation learning methods, has proven effective at extracting node-to-node interaction patterns from High-dimensio…
cs.LG2025
Adaptive Cubic Regularized Second-Order Latent Factor Analysis Model
Jialiang Wang, Junzhou Wang, Xin Liao
High-dimensional and incomplete (HDI) data, characterized by massive node interactions, have become ubiquitous across various real-world applications. Second-order latent factor mo…
cs.LG2025
DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction
Hao Wu, Jialiang Wang
Quality-of-Service (QoS) data plays a crucial role in cloud service selection. Since users cannot access all services, QoS can be represented by a high-dimensional and incomplete (…