activity
20152017
most citedMulti-View Spectral Clustering via Structured Low-Rank Matrix Factorization

433 citations · 821 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV2017433 cited

Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization

Yang Wang, Lin Wu

Multi-view data clustering attracts more attention than their single view counterparts due to the fact that leveraging multiple independent and complementary information from multi…

cs.LG20179 cited

Tensorial Recurrent Neural Networks for Longitudinal Data Analysis

Mingyuan Bai, Boyan Zhang, Junbin Gao

Traditional Recurrent Neural Networks assume vectorized data as inputs. However many data from modern science and technology come in certain structures such as tensorial time serie…

cs.CV2017

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

Fujiao Ju, Yanfeng Sun, Junbin Gao +2

Dimensionality reduction for high-order tensors is a challenging problem. In conventional approaches, higher order tensors are `vectorized` via Tucker decomposition to obtain lower…

cs.CV2017155 cited

What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification

Lin Wu, Yang Wang, Xue Li +1

Matching pedestrians across disjoint camera views, known as person re-identification (re-id), is a challenging problem that is of importance to visual recognition and surveillance.…

stat.ML20174 cited

Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem

Yanfei Zhang, Junbin Gao

In retailer management, the Newsvendor problem has widely attracted attention as one of basic inventory models. In the traditional approach to solving this problem, it relies on th…

cs.CV2017199 cited

Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification

Lin Wu, Yang Wang, Junbin Gao +1

Person re-identification (re-id) aims to match pedestrians observed by disjoint camera views. It attracts increasing attention in computer vision due to its importance to surveilla…