617 citations · 1.4k across the 12 of their papers we have counts for
13 papers
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
Yiyi Zhang, Li Niu, Ziqi Pan +4
Static image action recognition, which aims to recognize action based on a single image, usually relies on expensive human labeling effort such as adequate labeled action images an…
Learning from Web Data with Self-Organizing Memory Module
Yi Tu, Li Niu, Junjie Chen +2
Learning from web data has attracted lots of research interest in recent years. However, crawled web images usually have two types of noises, label noise and background noise, whic…
Multi-shot Pedestrian Re-identification via Sequential Decision Making
Jianfu Zhang, Naiyan Wang, Liqing Zhang
Multi-shot pedestrian re-identification problem is at the core of surveillance video analysis. It matches two tracks of pedestrians from different cameras. In contrary to existing…
Visual analytics for networked-guarantee loans risk management
Zhibin Niu, Dawei Cheng, Liqing Zhang +1
Groups of enterprises guarantee each other and form complex guarantee networks when they try to obtain loans from banks. Such secured loan can enhance the solvency and promote the…
Prediction defaults for networked-guarantee loans
Dawei Cheng, Zhibin Niu, Yi Tu +1
Networked-guarantee loans may cause the systemic risk related concern of the government and banks in China. The prediction of default of enterprise loans is a typical extremely imb…
Rectifier Neural Network with a Dual-Pathway Architecture for Image Denoising
Keting Zhang, Liqing Zhang
Recently deep neural networks based on tanh activation function have shown their impressive power in image denoising. In this letter, we try to use rectifier function instead of ta…
Tensor Ring Decomposition
Qibin Zhao, Guoxu Zhou, Shengli Xie +2
Tensor networks have in recent years emerged as the powerful tools for solving the large-scale optimization problems. One of the most popular tensor network is tensor train (TT) de…
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion
Qibin Zhao, Liqing Zhang, Andrzej Cichocki
Tucker decomposition is the cornerstone of modern machine learning on tensorial data analysis, which have attracted considerable attention for multiway feature extraction, compress…
Feature Learning from Incomplete EEG with Denoising Autoencoder
Junhua Li, Zbigniew Struzik, Liqing Zhang +1
An alternative pathway for the human brain to communicate with the outside world is by means of a brain computer interface (BCI). A BCI can decode electroencephalogram (EEG) signal…
Bayesian Robust Tensor Factorization for Incomplete Multiway Data
Qibin Zhao, Guoxu Zhou, Liqing Zhang +2
We propose a generative model for robust tensor factorization in the presence of both missing data and outliers. The objective is to explicitly infer the underlying low-CP-rank ten…
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
Qibin Zhao, Liqing Zhang, Andrzej Cichocki
CANDECOMP/PARAFAC (CP) tensor factorization of incomplete data is a powerful technique for tensor completion through explicitly capturing the multilinear latent factors. The existi…
Spatial-Spectral Boosting Analysis for Stroke Patients' Motor Imagery EEG in Rehabilitation Training
Hao Zhang, Liqing Zhang
Current studies about motor imagery based rehabilitation training systems for stroke subjects lack an appropriate analytic method, which can achieve a considerable classification a…
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic +5
A new generalized multilinear regression model, termed the Higher-Order Partial Least Squares (HOPLS), is introduced with the aim to predict a tensor (multiway array) $\tensor{Y}$…