63 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN21 papers
- Institute of Applied Physics and Computational MathematicsCN4 papers
- Peking UniversityCN4 papers
- Chinese Academy of SciencesCN2 papers
- Harvard UniversityUS2 papers
- Kyung Hee UniversityKR2 papers
- Shanghai Artificial Intelligence LaboratoryCN2 papers
- Southeast UniversityCN2 papers
- University College LondonGB2 papers
- University of WashingtonUS2 papers
- Ajou UniversityKR1 paper
- Art Institute of PortlandUS1 paper
5 papers · 1 filter
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis
Canyi Lu, Jiashi Feng, Zhouchen Lin +1
Spectral Clustering (SC) is a widely used data clustering method which first learns a low-dimensional embedding of data by computing the eigenvectors of the normalized Laplacia…
Deep Learning from Noisy Image Labels with Quality Embedding
Jiangchao Yao, Jiajie Wang, Ivor Tsang +4
There is an emerging trend to leverage noisy image datasets in many visual recognition tasks. However, the label noise among the datasets severely degenerates the \mbox{performance…
Deep Hashing with Triplet Quantization Loss
Yuefu Zhou, Shanshan Huang, Ya Zhang +1
With the explosive growth of image databases, deep hashing, which learns compact binary descriptors for images, has become critical for fast image retrieval. Many existing deep has…
Optimal Task Scheduling in Communication-Constrained Mobile Edge Computing Systems for Wireless Virtual Reality
Xiao Yang, Zhiyong Chen, Kuikui Li +2
Mobile edge computing (MEC) is expected to be an effective solution to deliver 360-degree virtual reality (VR) videos over wireless networks. In contrast to previous computation-co…
Quadratic BSDEs with mean reflection
Hélène Hibon, Ying Hu, Yiqing Lin +2
The present paper is devoted to the study of the well-posedness of BSDEs with mean reflection whenever the generator has quadratic growth in the argument. This work is the sequ…