73 citations · 100 across the 7 of their papers we have counts for
7 papers
Causality-Based Feature Importance Quantifying Methods: PN-FI, PS-FI and PNS-FI
Shuxian Du, Yaxiu Sun, Changyi Du
In the current ML field models are getting larger and more complex, and data used for model training are also getting larger in quantity and higher in dimensions. Therefore, in ord…
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning
Changying Du, Jia He, Changde Du +3
Existing multi-view learning methods based on kernel function either require the user to select and tune a single predefined kernel or have to compute and store many Gram matrices…
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling
Changying Du, Fuzhen Zhuang, Jia He +2
In real world machine learning applications, testing data may contain some meaningful new categories that have not been seen in labeled training data. To simultaneously recognize n…
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
Changde Du, Changying Du, Hao Wang +4
There are threefold challenges in emotion recognition. First, it is difficult to recognize human's emotional states only considering a single modality. Second, it is expensive to m…
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users
Hao Wang, Yanmei Fu, Qinyong Wang +3
Spatial item recommendation has become an important means to help people discover interesting locations, especially when people pay a visit to unfamiliar regions. Some current rese…
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition
Changde Du, Changying Du, Jinpeng Li +3
In emotion recognition, it is difficult to recognize human's emotional states using just a single modality. Besides, the annotation of physiological emotional data is particularly…
Sharing deep generative representation for perceived image reconstruction from human brain activity
Changde Du, Changying Du, Huiguang He
Decoding human brain activities via functional magnetic resonance imaging (fMRI) has gained increasing attention in recent years. While encouraging results have been reported in br…