5 citations · 13 across the 6 of their papers we have counts for
8 papers · 1 filter
Tucker-O-Minus Decomposition for Multi-view Tensor Subspace Clustering
Yingcong Lu, Yipeng Liu, Zhen Long +2
With powerful ability to exploit latent structure of self-representation information, different tensor decompositions have been employed into low rank multi-view clustering (LRMVC)…
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao, Yipeng Liu, Xiaolin Huang +1
The existing tensor networks adopt conventional matrix product for connection. The classical matrix product requires strict dimensionality consistency between factors, which can re…
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Jing Wu, Mingyi Zhou, Ce Zhu +3
Recently, adversarial attack methods have been developed to challenge the robustness of machine learning models. However, mainstream evaluation criteria experience limitations, eve…
Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
Tao Li, Lei Tan, Qinghua Tao +2
Deep neural networks (DNNs) usually contain massive parameters, but there is redundancy such that it is guessed that the DNNs could be trained in low-dimensional subspaces. In this…
A Unified Framework for Coupled Tensor Completion
Huyan Huang, Yipeng Liu, Ce Zhu
Coupled tensor decomposition reveals the joint data structure by incorporating priori knowledge that come from the latent coupled factors. The tensor ring (TR) decomposition is inv…
Robust Low-Rank Tensor Ring Completion
Huyan Huang, Yipeng Liu, Ce Zhu
Low-rank tensor completion recovers missing entries based on different tensor decompositions. Due to its outstanding performance in exploiting some higher-order data structure, low…