Zhengqiao Zhao
Orcid: 0000-0001-6873-6098
According to our database1,
Zhengqiao Zhao
authored at least 16 papers
between 2017 and 2025.
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Bibliography
2025
Determined blind source separation via modeling adjacent frequency band correlations in speech signals.
CoRR, April, 2025
CoRR, March, 2025
LaRU-Net: Laplacian Attention Residual U-Net for Multimodality Medical Image Enhancement.
Proceedings of the 19th International Conference on Ubiquitous Information Management and Communication, 2025
Exploring Spectral Signatures of Chinese liquor using Machine Learning and SHapley Additive exPlanations.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs Mismatch Classification.
Proceedings of the IEEE International Conference on Signal Processing, 2024
Classification of Typical Tursiops Aduncus Whistle Signals Using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Signal Processing, 2024
Development of a High-Quality Dolphin Whistle Signal Dataset and Clustering Analysis of Sousa Chinensis Calls.
Proceedings of the IEEE International Conference on Signal Processing, 2024
Exploring Aroma Type and Alcohol Content Classification of Chinese Liquor Using Temperature-Modulated Electronic Nose.
Proceedings of the IEEE International Conference on Signal Processing, 2024
2021
Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network.
PLoS Comput. Biol., 2021
2020
Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization.
PLoS Comput. Biol., 2020
Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life.
BMC Bioinform., 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
Spatiotemporal Tracking of SARS-CoV-2 Variants using informative subtype markers and association graphs.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses.
PLoS Comput. Biol., 2019
2018
Proceedings of the 2018 IEEE Haptics Symposium, 2018
2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017