16 citations · 36 across the 4 of their papers we have counts for
5 papers
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang, Sheng Huang, Xi Peng +1
Data augmentation is a powerful technique for improving the performance of the few-shot classification task. It generates more samples as supplements, and then this task can be tra…
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
Zeyu Wang, Sheng Huang, Zhongxin Liu +4
Plot-based Graphic API recommendation (Plot2API) is an unstudied but meaningful issue, which has several important applications in the context of software engineering and data visu…
Deep Semantic Dictionary Learning for Multi-label Image Classification
Fengtao Zhou, Sheng Huang, Yun Xing
Compared with single-label image classification, multi-label image classification is more practical and challenging. Some recent studies attempted to leverage the semantic informat…
Regression-based Hypergraph Learning for Image Clustering and Classification
Sheng Huang, Dan Yang, Bo Liu +1
Inspired by the recently remarkable successes of Sparse Representation (SR), Collaborative Representation (CR) and sparse graph, we present a novel hypergraph model named Regressio…
Learning Hypergraph-regularized Attribute Predictors
Sheng Huang, Mohamed Elhoseiny, Ahmed Elgammal +1
We present a novel attribute learning framework named Hypergraph-based Attribute Predictor (HAP). In HAP, a hypergraph is leveraged to depict the attribute relations in the data. T…