Publications

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(2023). Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. arXiv preprint arXiv:2308.02510.

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(2023). Neurophysiology State Dynamics Underlying Acute Neurological Recovery After Cardiac Arrest. Neurology.

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(2023). Cross-Subject Decision Confidence Estimation from EEG Signals Using Spectral-Spatial-Temporal Adaptive GCN with Domain Adaptation. International Joint Conference on Neural Networks (IJCNN).

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(2023). Elastic Graph Transformer Networks for EEG-Based Emotion Recognition. IEEE International Conference on Acoustics, Speech and Signal Processing.

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(2023). EEG-Eye Movements Cross-Modal Decision Confidence Measurement with Generative Adversarial Networks. 11th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2023). Identifying Artistic Expertise Difference in Emotion Recognition in Response to Oil Paintings. 11th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2022). Few-Shot Class-Incremental Learning for EEG-Based Emotion Recognition. International Conference on Neural Information Processing.

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(2022). Automated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage. Clinical Neurophysiology.

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(2022). A Multi-view Spectral-Spatial-Temporal Masked Autoencoder for Decoding Emotions with Self-supervised Learning. Proceedings of the 30th ACM International Conference on Multimedia.

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(2022). High epileptiform discharge burden predicts delayed cerebral ischemia after subarachnoid hemorrhage. Clinical Neurophysiology.

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(2022). High incidence of epileptiform activity in adults undergoing extracorporeal membrane oxygenation. Clinical Neurophysiology.

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(2022). Multimodal emotion recognition in response to oil paintings. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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(2022). Measuring expertise in identifying interictal epileptiform discharges. Journal of Neural Engineering.

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(2022). Identifying similarities and differences in emotion recognition with EEG and eye movements among Chinese, German, and French People. Journal of Neural Engineering.

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(2022). Investigating EEG-based functional connectivity patterns for multimodal emotion recognition. Journal of Neural Engineering.

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(2021). Predicting Neurological Outcome from Electroencephalogram Dynamics in Comatose Patients after Cardiac Arrest with Deep Learning. IEEE Transactions on Biomedical Engineering (*contributed equally as joint first authors).

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(2021). Predicting Neurological Outcome in Comatose Patients after Cardiac Arrest with Multiscale Deep Neural Networks. Resuscitation (*contributed equally as joint first authors).

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(2021). A Machine Learning Algorithm for Predicting Outcome after Subarachnoid Hemorrhage. Neurology.

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(2021). High epileptiform discharge burden predicts delayed cerebral ischemia after subarachnoid hemorrhage. Clinical Neurophysiology.

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(2021). Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition. IEEE Transactions on Cognitive and Developmental Systems.

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(2020). Multimodal Vigilance Estimation Using Deep Learning. IEEE Transactions on Cybernetics.

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(2020). Investigating EEG-based functional connectivity patterns for multimodal emotion recognition. arXiv preprint arXiv:2004.01973.

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(2020). Early Action Recognition with Category Exclusion using Policy-based Reinforcement Learning. IEEE Transactions on Circuits and Systems for Video Technology.

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(2020). Machine Learning Model of EEG Trends Predicts Delayed Cerebral Ischemia Post-subarachnoid Hemorrhage. Critical Care Medicine.

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(2020). Epileptiform Abnormalities are Associated with Increased Mortality in Adult ECMO Patients. Critical Care Medicine.

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(2019). Reducing the Subject Variability of EEG Signals with Adversarial Domain Generalization. International Conference on Neural Information Processing.

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(2019). Emotion Recognition using Multimodal Residual LSTM Network. ACM Multimedia Conference on Multimedia Conference.

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(2019). Adaptive Sedation Monitoring from EEG in ICU Patients with Online Learning. IEEE Transactions on Biomedical Engineering.

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(2019). Automated tracking of level of consciousness and delirium in critical illness using deep learning. NPJ Digital Medicine.

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(2019). Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. arXiv preprint arXiv:1908.05349.

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(2019). Identifying Functional Brain Connectivity Patterns for EEG-Based Emotion Recognition. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2019). Classification of five emotions from EEG and eye movement signals: complementary representation properties. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2019). Classification of five emotions from EEG and eye movement signals: Discrimination ability and stability over time. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2019). Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment. IEEE Transactions on Intelligent Transportation Systems.

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(2018). A regression method with subnetwork neurons for vigilance estimation using EOG and EEG. IEEE Transactions on Cognitive and Developmental Systems.

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(2018). WGAN Domain Adaptation for EEG-Based Emotion Recognition. International Conference on Neural Information Processing.

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(2018). Cross-Subject Emotion Recognition Using Deep Adaptation Networks. International Conference on Neural Information Processing.

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(2018). Active Feedback Framework with Scan-Path Clustering for Deep Affective Models. International Conference on Neural Information Processing.

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(2018). Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. ACM Multimedia Conference on Multimedia Conference.

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(2018). Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario. International Joint Conference on Neural Networks (IJCNN).

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(2018). Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks. International Joint Conference on Neural Networks (IJCNN).

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(2018). Affective Brain-Computer Interactions. Ph.D. Thesis, Shanghai Jiao Tong University, China.

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(2018). Emotionmeter: A multimodal framework for recognizing human emotions. IEEE Transactions on Cybernetics.

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(2017). EEG-based emotion recognition using domain adaptation network. International Conference on Orange Technologies (ICOT).

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(2017). Multimodal emotion recognition using deep neural networks. International Conference on Neural Information Processing.

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(2017). Investigating gender differences of brain areas in emotion recognition using LSTM neural network. International Conference on Neural Information Processing.

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(2017). Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder. International Conference on Neural Information Processing.

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(2017). Emotion Annotation Using Hierarchical Aligned Cluster Analysis. International Conference on Neural Information Processing.

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(2017). EEG-based sleep quality evaluation with deep transfer learning. International Conference on Neural Information Processing.

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(2017). Neural patterns between Chinese and Germans for EEG-based emotion recognition. 8th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2017). Detecting driving fatigue with multimodal deep learning. 8th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2017). Attention evaluation with eye tracking glasses for EEG-based emotion recognition. 8th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2017). Identifying stable patterns over time for emotion recognition from EEG. IEEE Transactions on Affective Computing.

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(2017). Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. arXiv preprint arXiv:1704.07548.

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(2017). EEG-based emotion recognition using hierarchical network with subnetwork nodes. IEEE Transactions on Cognitive and Developmental Systems.

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(2017). A multimodal approach to estimating vigilance using EEG and forehead EOG. Journal of Neural Engineering.

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(2016). Measuring sleep quality from EEG with machine learning approaches. International Joint Conference on Neural Networks (IJCNN).

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(2016). Driving fatigue detection with fusion of EEG and forehead EOG. International Joint Conference on Neural Networks (IJCNN).

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(2016). Emotion recognition using multimodal deep learning. International Conference on Neural Information Processing.

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(2016). Continuous vigilance estimation using LSTM neural networks. International Conference on Neural Information Processing.

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(2016). Personalizing EEG-based affective models with transfer learning. Twenty-Fifth International Joint Conference on Artificial Intelligence.

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(2016). Multimodal emotion recognition using multimodal deep learning. arXiv preprint arXiv:1602.08225.

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(2016). Online depth image-based object tracking with sparse representation and object detection. Neural Processing Letters.

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(2016). An unsupervised discriminative extreme learning machine and its applications to data clustering. Neurocomputing.

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(2015). Transfer components between subjects for EEG-based driving fatigue detection. International Conference on Neural Information Processing.

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(2015). Transfer components between subjects for EEG-based emotion recognition. International Conference on Affective Computing and Intelligent Interaction (ACII).

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(2015). Revealing critical channels and frequency bands for emotion recognition from EEG with deep belief network. 7th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2015). Evaluating driving fatigue detection algorithms using eye tracking glasses. 7th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2015). A novel approach to driving fatigue detection using forehead EOG. 7th International IEEE/EMBS Conference on Neural Engineering (NER).

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(2015). Combining eye movements and EEG to enhance emotion recognition. Twenty-Fourth International Joint Conference on Artificial Intelligence (*contributed equally as joint first authors).

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(2015). Cross-subject and cross-gender emotion classification from EEG. World Congress on Medical Physics and Biomedical Engineering.

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(2015). Comparison of classification methods for EEG-based emotion recognition. World Congress on Medical Physics and Biomedical Engineering.

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(2015). Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks. IEEE Transactions on Autonomous Mental Development (2018 IEEE TAMD Outstanding Paper Award).

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(2014). Multimodel emotion analysis in response to multimedia. IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

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(2014). Multimodal emotion recognition using EEG and eye tracking data. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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(2014). EEG-based emotion recognition with manifold regularized extreme learning machine. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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(2014). Online object tracking based on depth image with sparse coding. International Conference on Neural Information Processing.

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(2014). EEG-based emotion classification using deep belief networks. IEEE International Conference on Multimedia and Expo (ICME).

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(2014). EOG-based drowsiness detection using convolutional neural networks. International Joint Conference on Neural Networks (IJCNN).

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(2014). EEG-based emotion recognition using discriminative graph regularized extreme learning machine. International Joint Conference on Neural Networks (IJCNN).

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(2012). Registration of depth image and color image based on Harris-SIFT. Second International Conference on Electric Information and Control Engineering (ICEICE).

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