Ziheng Gao
Orcid: 0009-0002-9758-1536
According to our database1,
Ziheng Gao
authored at least 16 papers
between 2016 and 2024.
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Bibliography
2024
Dynamic personalized graph neural network with linear complexity for multivariate time series forecasting.
Eng. Appl. Artif. Intell., January, 2024
Three-Dimensional Motion Tracking of High-Speed Magnetic Targets Using Microwave-Free Quantum Imaging Technology.
IEEE Trans. Instrum. Meas., 2024
Three-Dimensional Inverse Reconstruction of Tiny Magnetic Structures by Quantum Technique.
IEEE Trans. Instrum. Meas., 2024
FAformer: parallel Fourier-attention architectures benefits EEG-based affective computing with enhanced spatial information.
Neural Comput. Appl., 2024
Time-aware personalized graph convolutional network for multivariate time series forecasting.
Expert Syst. Appl., 2024
Amphista: Accelerate LLM Inference with Bi-directional Multiple Drafting Heads in a Non-autoregressive Style.
CoRR, 2024
Identification of autism spectrum disorder based on functional near-infrared spectroscopy using dynamic multi-attribute spatio-temporal graph neural network.
Biomed. Signal Process. Control., 2024
2023
Dynamic spatiotemporal interactive graph neural network for multivariate time series forecasting.
Knowl. Based Syst., November, 2023
Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting.
Appl. Soft Comput., July, 2023
Toward Characterizing 3-D Microwave Field With Microscale Resolution Using Nitrogen-Vacancy Centers in Diamond.
IEEE Trans. Instrum. Meas., 2023
Global Spatiotemporal Graph Attention Network for Sea Surface Temperature Prediction.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
A Fast North-Finding Algorithm on the Moving Pedestal Based on the Technology of Extended State Observer (ESO).
Sensors, 2022
2021
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021
2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2016
Distributed graph regularized non-negative matrix factorization with greedy coordinate descent.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016