6 citations · 8 across the 3 of their papers we have counts for
5 papers
Robust Semantic Communications Against Semantic Noise
Qiyu Hu, Guangyi Zhang, Zhijin Qin +3
Although the semantic communications have exhibited satisfactory performance in a large number of tasks, the impact of semantic noise and the robustness of the systems have not bee…
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition
Guangyi Zhang, Ali Etemad
EEG-based emotion recognition often requires sufficient labeled training samples to build an effective computational model. Labeling EEG data, on the other hand, is often expensive…
Distilling EEG Representations via Capsules for Affective Computing
Guangyi Zhang, Ali Etemad
Affective computing with Electroencephalogram (EEG) is a challenging task that requires cumbersome models to effectively learn the information contained in large-scale EEG signals,…
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam +2
Classifying limb movements using brain activity is an important task in Brain-computer Interfaces (BCI) that has been successfully used in multiple application domains, ranging fro…
Errors-in-variables Modeling of Personalized Treatment-Response Trajectories
Guangyi Zhang, Reza Ashrafi, Anne Juuti +2
Estimating the effect of a treatment on a given outcome, conditioned on a vector of covariates, is central in many applications. However, learning the impact of a treatment on a co…