156 citations · 282 across the 22 of their papers we have counts for
9 papers · 1 filter
Boosted Sparse and Low-Rank Tensor Regression
Lifang He, Kun Chen, Wanwan Xu +2
We propose a sparse and low-rank tensor regression model to relate a univariate outcome to a feature tensor, in which each unit-rank tensor from the CP decomposition of the coeffic…
A Self-Organizing Tensor Architecture for Multi-View Clustering
Lifang He, Chun-ta Lu, Yong Chen +4
In many real-world applications, data are often unlabeled and comprised of different representations/views which often provide information complementary to each other. Although sev…
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction
Jianguo Zhang, Ji Wang, Lifang He +2
With the development of cloud computing and big data, the reliability of data storage systems becomes increasingly important. Previous researchers have shown that machine learning…
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
Lichao Sun, Lifang He, Zhipeng Huang +4
Meta-graph is currently the most powerful tool for similarity search on heterogeneous information networks,where a meta-graph is a composition of meta-paths that captures the compl…
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis
Ye Liu, Lifang He, Bokai Cao +3
Network analysis of human brain connectivity is critically important for understanding brain function and disease states. Embedding a brain network as a whole graph instance into a…
MARS: Memory Attention-Aware Recommender System
Lei Zheng, Chun-Ta Lu, Lifang He +4
In this paper, we study the problem of modeling users' diverse interests. Previous methods usually learn a fixed user representation, which has a limited ability to represent disti…