6 citations · 16 across the 5 of their papers we have counts for
5 papers
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Yuanyuan Jin, Wei Zhang, Xiangnan He +2
Herb recommendation plays a crucial role in the therapeutic process of Traditional Chinese Medicine(TCM), which aims to recommend a set of herbs to treat the symptoms of a patient.…
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning
Qianming Xue, Wei Zhang, Hongyuan Zha
Domain-adapted sentiment classification refers to training on a labeled source domain to well infer document-level sentiment on an unlabeled target domain. Most existing relevant m…
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Zhuo Wang, Wei Zhang, Ning Liu +1
Models with transparent inner structure and high classification performance are required to reduce potential risk and provide trust for users in domains like health care, finance,…
Learning Robust Representations with Graph Denoising Policy Network
Lu Wang, Wenchao Yu, Wei Wang +5
Graph representation learning, aiming to learn low-dimensional representations which capture the geometric dependencies between nodes in the original graph, has gained increasing p…
Conditional Restricted Boltzmann Machines for Cold Start Recommendations
Jiankou Li, Wei Zhang
Restricted Boltzman Machines (RBMs) have been successfully used in recommender systems. However, as with most of other collaborative filtering techniques, it cannot solve cold star…