research
∙
07/27/2023
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals
Seeing is believing, however, the underlying mechanism of how human visu...
share
research
∙
10/26/2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Current graph neural networks (GNNs) lack generalizability with respect ...
research
∙
09/16/2020
Document-level Neural Machine Translation with Document Embeddings
Standard neural machine translation (NMT) is on the assumption of docume...
research
∙
04/13/2020
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
A brain-computer interface (BCI) enables a user to communicate with a co...
research
∙
04/04/2020
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition
Compared with the rich studies on the motor brain-computer interface (BC...
research
∙
10/31/2019
Document-level Neural Machine Translation with Inter-Sentence Attention
Standard neural machine translation (NMT) is on the assumption of docume...
research
∙
08/13/2019
Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis
Multimodal signals are more powerful than unimodal data for emotion reco...
research
∙
04/22/2019
Judging Chemical Reaction Practicality From Positive Sample only Learning
Chemical reaction practicality is the core task among all symbol intelli...
research
∙
07/27/2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
There are threefold challenges in emotion recognition. First, it is diff...
research
∙
04/25/2017
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition
In emotion recognition, it is difficult to recognize human's emotional s...
research
∙
07/29/2016
Connecting Phrase based Statistical Machine Translation Adaptation
Although more additional corpora are now available for Statistical Machi...
research
∙
07/29/2016
A Novel Bilingual Word Embedding Method for Lexical Translation Using Bilingual Sense Clique
Most of the existing methods for bilingual word embedding only consider ...
research
∙
02/26/2016
Multimodal Emotion Recognition Using Multimodal Deep Learning
To enhance the performance of affective models and reduce the cost of ac...
research
∙
01/10/2016
Identifying Stable Patterns over Time for Emotion Recognition from EEG
In this paper, we investigate stable patterns of electroencephalogram (E...
research
∙
01/04/2016
