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08/13/2023
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Electroencephalography (EEG) is an objective tool for emotion recognitio...
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07/29/2023
An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks
Deep neural networks, (DNNs, a.k.a. NNs), have been widely used in vario...
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06/27/2023
Verifying Safety of Neural Networks from Topological Perspectives
Neural networks (NNs) are increasingly applied in safety-critical system...
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06/18/2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
Electrocardiography (ECG) is a non-invasive tool for predicting cardiova...
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05/05/2023
Repairing Deep Neural Networks Based on Behavior Imitation
The increasing use of deep neural networks (DNNs) in safety-critical sys...
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03/27/2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Electroencephalography (EEG) is an objective tool for emotion recognitio...
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03/17/2023
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image
Body weight, as an essential physiological trait, is of considerable sig...
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12/14/2022
Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition
Recognizing human emotions from complex, multivariate, and non-stationar...
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12/02/2022
Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory
Credit assignment problem of neural networks refers to evaluating the cr...
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10/09/2022
Safety Verification for Neural Networks Based on Set-boundary Analysis
Neural networks (NNs) are increasingly applied in safety-critical system...
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02/14/2022
A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition
In this paper, we propose a novel transfer learning framework with Proto...
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02/07/2021
