CoGraphNet for enhanced text classification with co-occurrence graph-based representation learning
Chen, J., et al. (2025). "CoGraphNet for enhanced text classification with co-occurrence graph-based representation learning." Scientific Reports.
CV
You can download a PDF version of my CV here.
Education
- MPhil in Mathematics, Newcastle University, UK
- Supervisor: Prof. Chris Oates
- Research: Probabilistic Machine Learning & Computational Statistics
- 2025 – Present
- B.Sc. in Mathematics and Applied Mathematics, Chongqing University of Arts and Sciences, China
- Collaborative study at University of North Carolina Wilmington (UNCW), USA
- 2020 – 2024
Research Interests
- Probabilistic Machine Learning
- Computational Statistics
- Deep Learning (Sequence Modelling, Graph Neural Networks, Transformers)
Publications
A novel offshore wind power prediction model based on TCN-DANet-sparse transformer with dual-channel feature extraction and multi-scale temporal fusion
Chen, J., et al. (2024). "A novel offshore wind power prediction model based on TCN-DANet-sparse transformer." Energy.
Awards & Honours
- Meritorious Winner — International Mathematical Contest in Modeling (MCM/ICM), 2023
- Second Prize — National College Student Mathematical Modeling Competition (CUMCM), 2023
- Second Prize — National College Student Statistical Modeling Competition, 2022 & 2023
- University-level Special Scholarship — Chongqing University of Arts and Sciences, 2021, 2022, 2023
- Department First-Class Scholarship — Chongqing University of Arts and Sciences, 2021, 2022, 2023
Skills
- Programming: Python, R, MATLAB, LaTeX
- Deep Learning: PyTorch, TensorFlow
- Statistics: Bayesian inference, Monte Carlo methods, statistical modelling
- Languages: Mandarin Chinese (native), English (professional)