Dr. Ming Zhang Ph.D. degree (Chinese Academy of Sciences); B.E. degree (China University of Geosciences (Beijing))
Hubei University, Wuhan, Hubei · China
Editorial leadership for Journal of Big Data Research ISSN 2768-0207
Research interests
- Natural Language Process
- Deep Learning
- Machine Learning
- Neural Network
- Large Language Models
Biography
Dr. Ming Zhang is currently affiliated with the School of Integrated Circuits at Hubei University, China. He received his PhD from the University of Chinese Academy of Sciences in 2024. His research focuses on machine learning, deep learning, and natural language processing, with applications in finance, hardware security, and signal processing.
He has authored more than 20 peer-reviewed scientific publications in reputed journals, including several as first and corresponding author. His work primarily explores data-driven modeling, intelligent systems, and advanced computational techniques applied across multiple domains.
Dr. Zhang is actively involved in the academic community and has contributed as an editorial board member and reviewer for various international journals and conferences in artificial intelligence, information processing, and computational sciences.
Achievements
- Published 23+ SCI-indexed research articles
- Editorial Board Member of multiple international journals
- Active reviewer for IEEE and SCI-indexed journals
- Contributed to conferences such as IEEE SMC and IEEE IJCNN
Current Research Focus
- Artificial Intelligence for Anomalous Sound Detection
- Natural Language Processing for Multi-document Summarization
- Graph Neural Networks and Deep Learning Models
- Machine Learning Applications in Financial Forecasting
- AI-driven Signal Processing and Hardware Security
Academic Profiles of Dr. Ming Zhang
Explore his academic and professional presence across trusted platforms:
Selected publications
- ROUGE-SEM: Better evaluation of summarization using ROUGE combined with semantics 2024 cited 40×
- From coarse to fine: Enhancing multi-document summarization with multi-granularity relationship-based extractor 2024 cited 10×
- Separating the predictable part of returns with CNN-GRU-attention from inputs to predict stock returns 2024 cited 10×
- A hierarchical deep model integrating economic facts for stock movement prediction 2024 cited 9×
- Enhancing the Reliability of SC PUF Through Optimal Capacitor Configuration 2024 cited 5×
- Cross-Path Planning of UAV Cluster Low-Altitude Flight Based on Inertial Navigation Combined with GPS Localization Recent 2025 cited 4×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
Considering JBR for your work?
This journal is guided by Dr. Ming Zhang (Hubei University, Wuhan, Hubei) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.