2025
Optimal Entanglement Distribution Problem in Satellite-Based Quantum Networks.
IEEE Netw., January, 2025
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG.
CoRR, January, 2025
Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification.
CoRR, January, 2025
2024
Group Formation and Sampling in Group-Based Hierarchical Federated Learning.
IEEE Trans. Cloud Comput., 2024
Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition.
Frontiers Neurorobotics, 2024
Trustworthy Contrast-enhanced Brain MRI Synthesis.
CoRR, 2024
Incentive Mechanism Design in Semi-Asynchronous Blockchain-based Federated Learning.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Topology Design with Resource Allocation and Entanglement Distribution for Quantum Networks.
Proceedings of the 21st Annual IEEE International Conference on Sensing, 2024
Enhancing Adversarial Attacks: The Similar Target Method.
Proceedings of the International Joint Conference on Neural Networks, 2024
Sixteen-micromachined-gyroscopes Array Beyond Accuracy Limit By 1.9 Times Without Bandwidth Reduction.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024
Hybrid Quantum-Classical Computing via Dantzig-Wolfe Decomposition for Integer Linear Programming.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024
Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Joint Participant Selection and Learning Optimization for Federated Learning of Multiple Models in Edge Cloud.
J. Comput. Sci. Technol., July, 2023
Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Group-based Hierarchical Federated Learning: Convergence, Group Formation, and Sampling.
Proceedings of the 52nd International Conference on Parallel Processing, 2023
Relate Auditory Speech To Eeg By Shallow-Deep Attention-Based Network.
Proceedings of the IEEE International Conference on Acoustics, 2023
Echoes of the Mind: Conformer Augmentation and Contrastive Loss in Audio-EEG Convergence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Context-Aware EEG-Based Perceived Stress Recognition based on Emotion Transition Paradigm.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023
2022
Orientation recognition and correction of Cardiac MRI with deep neural network.
CoRR, 2022
Participant Selection for Hierarchical Federated Learning in Edge Clouds.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022
Spatial-temporal Transformers for EEG Emotion Recognition.
Proceedings of the 2022 The 6th International Conference on Advances in Artificial Intelligence, 2022
A Multi-stream Deep Learning Model for EEG-based Depression Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
CR-GAT: Consistency Regularization Enhanced Graph Attention Network for Semi-supervised EEG Emotion Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
REEG-BTCNet: A Novel Framework for EEG-based Motor Imagery Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Transformers for EEG Emotion Recognition.
CoRR, 2021
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021