Ming Zhang
Orcid: 0000-0001-6967-1732Affiliations:
- Hubei University, School of Integrated Circuits, Wuhan, China
- Chinese Academy of Sciences, Institute of Acoustics, Beijing, China (PhD 2024)
- China University of Geosciences, School of Geophysics and Information Technology, Beijing, China (former)
According to our database1,
Ming Zhang authored at least 20 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
A Digital Compatible Offset Canceled Latch-Styled Sense Amplifier Used for PUF Sensing.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2026
LAES: A local adaptive edge-enhanced spectrogram method for unsupervised anomalous sound detection.
Signal Process., 2026
Enhancing infant cry recognition using lightweight CNN with hybrid feature augmentation.
Biomed. Signal Process. Control., 2026
Towards curriculum learning of multi-document summarization using difficulty-aware mixture-of-experts.
Appl. Soft Comput., 2026
2025
IEEE Trans. Circuits Syst. I Regul. Pap., October, 2025
IEEE Trans. Very Large Scale Integr. Syst., August, 2025
An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book.
CoRR, May, 2025
Neurocomputing, 2025
Graph Neural Network-Enhanced Feature Learning for Unsupervised Anomalous Sound Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
2024
From coarse to fine: Enhancing multi-document summarization with multi-granularity relationship-based extractor.
Inf. Process. Manag., March, 2024
Expert Syst. Appl., March, 2024
MCRSpell: A metric learning of correct representation for Chinese spelling correction.
Expert Syst. Appl., March, 2024
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2024
An efficient loss function and deep learning approach for ranking stock returns in the absence of prior knowledge.
Inf. Process. Manag., January, 2024
Eng. Appl. Artif. Intell., 2024
Separating the predictable part of returns with CNN-GRU-attention from inputs to predict stock returns.
Appl. Soft Comput., 2024
2022
Predicting long-term stock movements with fused textual features of Chinese research reports.
Expert Syst. Appl., 2022
2021
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
2019
J. Circuits Syst. Comput., 2019