15 citations · 43 across the 8 of their papers we have counts for
4 papers · 1 filter
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
Hao Li, Zixuan Li, Kenli Li +3
Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a group of factor matrices to obtain an optimal low-rank representation feature for the \underline{H}igh-\under…
EHAP-ORAM: Efficient Hardware-Assisted Persistent ORAM System for Non-volatile Memory
Gang Liu, Kenli Li, Zheng Xiao +1
Oblivious RAM (ORAM) is a provable secure primitive to prevent access pattern leakage on the memory bus. It serves as the intermediate layer between the trusted on-chip components…
Semi-Disentangled Representation Learning in Recommendation System
Weiguang Chen, Wenjun Jiang, Xueqi Li +3
Disentangled representation has been widely explored in many fields due to its maximal compactness, interpretability and versatility. Recommendation system also needs disentangleme…
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models
Yufeng Zhang, Jialu Pan, Wanwei Liu +5
Recent research has revealed that deep generative models including flow-based models and Variational Autoencoders may assign higher likelihoods to out-of-distribution (OOD) data th…