433 citations · 887 across the 39 of their papers we have counts for
40 papers
Cluster Developing 1-Bit Matrix Completion
Chengkun Zhang. Junbin Gao, Stephen Lu
Matrix completion has a long-time history of usage as the core technique of recommender systems. In particular, 1-bit matrix completion, which considers the prediction as a ``Recom…
Manifold Optimization Assisted Gaussian Variational Approximation
Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran +1
Gaussian variational approximation is a popular methodology to approximate posterior distributions in Bayesian inference especially in high dimensional and large data settings. To…
Sparse Least Squares Low Rank Kernel Machines
Di Xu, Manjing Fang, Xia Hong +1
A general framework of least squares support vector machine with low rank kernels, referred to as LR-LSSVM, is introduced in this paper. The special structure of low rank kernels w…
A Review for Weighted MinHash Algorithms
Wei Wu, Bin Li, Ling Chen +2
Data similarity (or distance) computation is a fundamental research topic which underpins many high-level applications based on similarity measures in machine learning and data min…
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification
Lin Wu, Yang Wang, Junbin Gao +1
Video-based person re-identification (re-id) is a central application in surveillance systems with significant concern in security. Matching persons across disjoint camera views in…
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification
Lin Wu, Yang Wang, Junbin Gao +1
Person re-identification (re-ID) requires rapid, flexible yet discriminant representations to quickly generalize to unseen observations on-the-fly and recognize the same identity a…