3.7k citations
- University of HoustonUS75 papers
- University of Hong KongHK54 papers
- Beijing Normal UniversityCN35 papers
- Chinese Academy of SciencesCN33 papers
- Hong Kong University of Science and TechnologyHK33 papers
- City University of Hong KongHK28 papers
- Chinese University of Hong KongHK23 papers
- Beijing Normal-Hong Kong Baptist UniversityCN21 papers
- National University of SingaporeSG21 papers
- Fudan UniversityCN18 papers
- Southern University of Science and TechnologyCN18 papers
- Zhejiang UniversityCN16 papers
17 papers · 1 filter
Parallel Active Subspace Decomposition for Scalable and Efficient Tensor Robust Principal Component Analysis
Jonathan Q. Jiang, Michael K. Ng
Tensor robust principal component analysis (TRPCA) has received a substantial amount of attention in various fields. Most existing methods, normally relying on tensor nuclear norm…
Isotropic Polynomial Invariants of the Hall Tensor
Jinjie Liu, Weiyang Ding, Liqun Qi +1
The Hall tensor emerges from the study of the Hall effect, an important magnetic effect observed in electric conductors and semiconductors. The Hall tensor is third order and three…
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics
Hongbin Pei, Bo Yang, Jiming Liu +1
Predicting epidemic dynamics is of great value in understanding and controlling diffusion processes, such as infectious disease spread and information propagation. This task is int…
Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification
Yi Wang, Jianwu Wan, Jun Guo +2
Similarity search is essential to many important applications and often involves searching at scale on high-dimensional data based on their similarity to a query. In biometric appl…
Nearly Optimal Stochastic Approximation for Online Principal Subspace Estimation
Xin Liang, Zhen-Chen Guo, Li Wang +2
Principal component analysis (PCA) has been widely used in analyzing high-dimensional data. It converts a set of observed data points of possibly correlated variables into a set of…
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs
Shaohuai Shi, Qiang Wang, Xiaowen Chu
Deep learning frameworks have been widely deployed on GPU servers for deep learning applications in both academia and industry. In training deep neural networks (DNNs), there are m…