23 citations · 48 across the 11 of their papers we have counts for
4 papers · 1 filter
Deep Independently Recurrent Neural Network (IndRNN)
Shuai Li, Wanqing Li, Chris Cook +1
Recurrent neural networks (RNNs) are known to be difficult to train due to the gradient vanishing and exploding problems and thus difficult to learn long-term patterns and construc…
Origin of current-controlled negative differential resistance modes and the emergence of composite characteristics with high complexity
Shuai Li, Xinjun Liu, Sanjoy Kumar Nandi +2
Current-controlled negative differential resistance has significant potential as a fundamental building block in brain-inspired neuromorphic computing. However, achieving desired n…
Orthogonal Deep Neural Networks
Kui Jia, Shuai Li, Yuxin Wen +2
In this paper, we introduce the algorithms of Orthogonal Deep Neural Networks (OrthDNNs) to connect with recent interest of spectrally regularized deep learning methods. OrthDNNs a…
Improved Algorithm on Online Clustering of Bandits
Shuai Li, Wei Chen, Kwong-Sak Leung
We generalize the setting of online clustering of bandits by allowing non-uniform distribution over user frequencies. A more efficient algorithm is proposed with simple set structu…