📚 Education
Bachelor of Science in Mathematics (Data Science Track)
Minors: Computer Science & Economics
Institution: Wenzhou Kean University
Period: 2023/9 – Present
- WKU AI Lab member
- Teaching Assistant: Math 3700 Big Data Computing
- Teaching Assistant: Math 3790 Machine Learning (Incoming)
🔬 Research Interests
Machine Learning & Deep Learning
- Imbalance learning (JCR Q1)
- Transfer learning (CCF C)
- Multimodel learning (CCF C)
Computer Vision & Remote Sensing
- Image Classification and Segmentation (JCR Q2)
AI for Science
- Epidemic Disease Prediction (JCR Q2)
- Full waveform inversion (CCF C)
💻 Skills
Languages
English (Class language), Chinese (Native), Japanese (N3)
Programming Languages
Python, Java, C++, R, Matlab, HTML, Mathematica, Shell, LaTeX
Frameworks & Platforms
PyTorch, TensorFlow, Keras, Ubuntu, Git, CUDA
Libraries
Scikit-Learn, SciPy, NumPy, OpenCV, Matplotlib, Pandas
🎯 Research Experience
Principal Investigator, Dengue Fever Early Warning System
2024/6 - Present
- Led the development of a cross-disciplinary Dengue Fever early warning system, focusing on the integration of heterogeneous data, including various climate data, Google Trends, and satellite imagery, while leveraging multimodal learning techniques to enhance prediction accuracy.
- Directed a multidisciplinary team of over 10 members from computer science, biology, and mathematics, and regularly engaged with domain experts to address challenges encountered during model construction.
- The project outcomes include papers set to be submitted to the IJCNN conference and the journal Epidemics, with plans to provide predictive data to governments through an online platform to support policy-making decisions.
Major Player, Mapping the invasive Spartina alterniflora with improved phenological spectral features and deep learning method
2024/9 - Present
- The project was initiated by Assistant Professor Xu Shuyang from our university's Environmental Science Department in response to Zhejiang Province's invasive species control plan introduced in 2023. I am responsible for the "Methods" section of the entire project.
- Developed numerical models based on deep learning and phenological feature analysis to predict and monitor the distribution and dynamic changes of the invasive species Spartina alterniflora in Hangzhou Bay from 1998 to the present.
- The project outcomes will be published in authoritative remote sensing journals such as Remote Sensing of Environment, providing scientific support for governmental environmental protection policies.
🏆 Awards & Honors
The First Prize [2024/5]
Awarded for won first place in the ESG business competition held by Nestle in the southern Zhejiang region
Best Organization Award [2024/6]
Awarded for excellent behavior during the internship period and building a data system to screen customers for Bank of China Wenzhou Li'ao Branch
Cougar Pioneers Prize [2024/9]
Awarded for actively expanding extracurricular academic fields for Wenzhou Kean University
📝 Academic Activities
- Participant, 2024/12 "International Conference on Data Science and Brain-Inspired Intelligence", Fudan University
- More to come soon