Finite-time fault-tolerant control of attitude control system of quadrotor UAV based on neural network disturbance observer.
Neural Comput. Appl., March, 2025
Real-Time Classification of Deep and Non-Deep Sleep With Comparative Intervention Experiments.
IEEE Access, 2025
Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Learning to Transmit With Provable Guarantees in Wireless Federated Learning.
IEEE Trans. Wirel. Commun., July, 2024
Research on the Application of Multimedia Image Processing Technology in Sports Sociology Education.
Int. J. Web Based Learn. Teach. Technol., 2024
GLANCE: Graph-based Learnable Digital Twin for Communication Networks.
CoRR, 2024
Developing an SSVEP-Based BCI System for Multi-Objective Control via IoT Integration.
IEEE Access, 2024
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks.
IEEE Trans. Wirel. Commun., 2023
Blind quantum machine learning with quantum bipartite correlator.
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CoRR, 2023
Deep Demixing: Reconstructing the Evolution of Network Epidemics.
CoRR, 2023
Learnable Digital Twin for Efficient Wireless Network Evaluation.
Proceedings of the IEEE Military Communications Conference, 2023
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian.
Proceedings of the IEEE International Conference on Acoustics, 2022
Power Allocation for Wireless Federated Learning Using Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022
Hypergraph 1-Spectral Clustering with General Submodular Weights.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks.
Proceedings of the 29th European Signal Processing Conference, 2021
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning.
Proceedings of the 29th European Signal Processing Conference, 2021
Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Storyboard relational model for group activity recognition.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020
End-to-End Texture-Aware and Depth-Aware Embedded Advertising for Videos.
Proceedings of the ICCTA 2020: 6th International Conference on Computer and Technology Applications, 2020
Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow's Mood, Health, and Stress<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
POI Semantic Model with a Deep Convolutional Structure.
CoRR, 2019
Mapping solar array location, size, and capacity using deep learning and overhead imagery.
CoRR, 2019
A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019
Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019