26 citations · 30 across the 5 of their papers we have counts for
5 papers
Incorporating Multiple Cluster Centers for Multi-Label Learning
Senlin Shu, Fengmao Lv, Yan Yan +3
Multi-label learning deals with the problem that each instance is associated with multiple labels simultaneously. Most of the existing approaches aim to improve the performance of…
Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations
Fei Hu, Wei Liu, Ajmal Saeed Mian +1
Although response generation (RG) diversification for single-turn dialogs has been well developed, it is less investigated for natural multi-turn conversations. Besides, past work…
An Improved Historical Embedding without Alignment
Xiaofei Xu, Ke Deng, Fei Hu +1
Many words have evolved in meaning as a result of cultural and social change. Understanding such changes is crucial for modelling language and cultural evolution. Low-dimensional e…
A Fast Pseudo-Stochastic Sequential Cipher Generator Based on RBMs
Fei Hu, Xiaofei Xu, Tao Peng +2
Based on Restricted Boltzmann Machines (RBMs), an improved pseudo-stochastic sequential cipher generator is proposed. It is effective and efficient because of the two advantages: t…
An image compression and encryption scheme based on deep learning
Fei Hu, Changjiu Pu, Haowei Gao +2
Stacked Auto-Encoder (SAE) is a kind of deep learning algorithm for unsupervised learning. Which has multi layers that project the vector representation of input data into a lower…