604 citations · 2k across the 82 of their papers we have counts for
5 papers · 1 filter
Learning to Remember Translation History with a Continuous Cache
Zhaopeng Tu, Yang Liu, Shuming Shi +1
Existing neural machine translation (NMT) models generally translate sentences in isolation, missing the opportunity to take advantage of document-level information. In this work,…
Deep Subspace Clustering Networks
Pan Ji, Tong Zhang, Hongdong Li +2
We present a novel deep neural network architecture for unsupervised subspace clustering. This architecture is built upon deep auto-encoders, which non-linearly map the input data…
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions
Xingguo Li, Lin F. Yang, Jason Ge +3
We propose a DC proximal Newton algorithm for solving nonconvex regularized sparse learning problems in high dimensions. Our proposed algorithm integrates the proximal Newton algor…
Spatial-Temporal Recurrent Neural Network for Emotion Recognition
Tong Zhang, Wenming Zheng, Zhen Cui +2
Emotion analysis is a crucial problem to endow artifact machines with real intelligence in many large potential applications. As external appearances of human emotions, electroence…
Deep manifold-to-manifold transforming network for action recognition
Tong Zhang, Wenming Zheng, Zhen Cui +1
Symmetric positive definite (SPD) matrices (e.g., covariances, graph Laplacians, etc.) are widely used to model the relationship of spatial or temporal domain. Nevertheless, SPD ma…