Qi Zhang

Orcid: 0000-0001-9595-5640

Affiliations:
  • University of Macau, PAMI Research Group, Department of Computer and Information Science, Faculty of Science and Technology, Macau


According to our database1, Qi Zhang authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Fuzzy Graph Subspace Convolutional Network.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Lightweight Self-Supervised Recognition of Small-Sample Ships Using Micro-Doppler Signatures and UAV-Based UWB Radar.
IEEE Trans. Instrum. Meas., 2024

Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning.
Pattern Recognit., 2024

Multi-scale locality preserving projection for partial multi-view incomplete multi-label learning.
Neural Networks, 2024

2023
Collaborative representation induced broad learning model for classification.
Appl. Intell., October, 2023

2022
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Missing-view completion for fatty liver disease detection.
Comput. Biol. Medicine, 2022

Multi-feature representation for fatty liver disease detection with breath sample analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Graph Based Multichannel Feature Fusion for Wrist Pulse Diagnosis.
IEEE J. Biomed. Health Informatics, 2021

DsNet: Dual stack network for detecting diabetes mellitus and chronic kidney disease.
Inf. Sci., 2021

An automatic multi-view disease detection system via Collective Deep Region-based Feature Representation.
Future Gener. Comput. Syst., 2021

Two-phase non-invasive multi-disease detection via sublingual region.
Comput. Biol. Medicine, 2021

Computational Traditional Chinese Medicine diagnosis: A literature survey.
Comput. Biol. Medicine, 2021

2020
Automatic Epicardial Fat Segmentation and Quantification of CT Scans Using Dual U-Nets With a Morphological Processing Layer.
IEEE Access, 2020

A Progressive Stack Face-based Network for Detecting Diabetes Mellitus and Breast Cancer.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

A Noninvasive Method to Detect Diabetes Mellitus and Lung Cancer Using the Stacked Sparse autoencoder.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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