3 citations · 6 across the 4 of their papers we have counts for
8 papers
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu, Adriane Chapman, Guihua Wen +1
Supervised machine learning has several drawbacks that make it difficult to use in many situations. Drawbacks include: heavy reliance on massive training data, limited generalizabi…
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition
Yingxue Xu, Guihua Wen, Yang Hu +4
Chinese herbs play a critical role in Traditional Chinese Medicine. Due to different recognition granularity, they can be recognized accurately only by professionals with much expe…
Stochastic Region Pooling: Make Attention More Expressive
Mingnan Luo, Guihua Wen, Yang Hu +2
Global Average Pooling (GAP) is used by default on the channel-wise attention mechanism to extract channel descriptors. However, the simple global aggregation method of GAP is easy…
Convolutional herbal prescription building method from multi-scale facial features
Huiqiang Liao, Guihua Wen, Yang Hu +1
In Traditional Chinese Medicine (TCM), facial features are important basis for diagnosis and treatment. A doctor of TCM can prescribe according to a patient's physical indicators s…
Metabolize Neural Network
Dan Dai, Zhiwen Yu, Yang Hu +2
The metabolism of cells is the most basic and important part of human function. Neural networks in deep learning stem from neuronal activity. It is self-evident that the significan…
Competitive Inner-Imaging Squeeze and Excitation for Residual Network
Yang Hu, Guihua Wen, Mingnan Luo +3
Residual networks, which use a residual unit to supplement the identity mappings, enable very deep convolutional architecture to operate well, however, the residual architecture ha…