57 citations · 176 across the 15 of their papers we have counts for
15 papers
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation
Yingxue Xu, Guihua Wen, Yang Hu +1
Unsupervised domain adaptation (UDA) aims to estimate a transferable model for unlabeled target domains by exploiting labeled source data. Optimal Transport (OT) based methods have…
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…
Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition
Yang Hu, Guihua Wen, Adriane Chapman +5
Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although the deep convolutional network brings powerful visual modeling…
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…
Inner-Imaging Networks: Put Lenses into Convolutional Structure
Yang Hu, Guihua Wen, Mingnan Luo +4
Despite the tremendous success in computer vision, deep convolutional networks suffer from serious computation costs and redundancies. Although previous works address this issue by…
Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features
Yingxue Xu, Guihua Wen, Yang Hu +3
Convolution neural netwotks (CNNs) are successfully applied in image recognition task. In this study, we explore the approach of automatic herbal recognition with CNNs and build th…
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…
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…
Tongue image constitution recognition based on Complexity Perception method
Jiajiong Ma, Guihua Wen, Yang Hu +4
Background and Object: In China, body constitution is highly related to physiological and pathological functions of human body and determines the tendency of the disease, which is…
Facial Expression Recognition Based on Complexity Perception Classification Algorithm
Tianyuan Chang, Guihua Wen, Yang Hu +1
Facial expression recognition (FER) has always been a challenging issue in computer vision. The different expressions of emotion and uncontrolled environmental factors lead to inco…
Modeling reverse thinking for machine learning
Li Huihui, Wen Guihua
Human inertial thinking schemes can be formed through learning, which are then applied to quickly solve similar problems later. However, when problems are significantly different,…
Automatic construction of Chinese herbal prescription from tongue image via CNNs and auxiliary latent therapy topics
Yang Hu, Guihua Wen, Huiqiang Liao +3
The tongue image provides important physical information of humans. It is of great importance for diagnoses and treatments in clinical medicine. Herbal prescriptions are simple, no…
Conceptualization Topic Modeling
Yi-Kun Tang, Xian-Ling Mao, Heyan Huang +1
Recently, topic modeling has been widely used to discover the abstract topics in text corpora. Most of the existing topic models are based on the assumption of three-layer hierarch…
Supervised Deep Hashing for Hierarchical Labeled Data
Dan Wang, Heyan Huang, Chi Lu +4
Recently, hashing methods have been widely used in large-scale image retrieval. However, most existing hashing methods did not consider the hierarchical relation of labels, which m…