Hello there！I am currently a junior at Sichuan Agricultural University, majoring in Data Science and Big Data Technology. Additionally, I am pursuing a minor in finance.
My research focuses on the application of big data and machine learning in sentiment analysis, healthcare, and agriculture. Currently, I am particularly interested in sentiment-related applications, with a focus on exploring the relationship between artificial intelligence and psychological as well as societal factors. I have strong experience in programming languages such as Python, C++, and MATLAB, and I am proficient in using frameworks like PyTorch and TensorFlow to develop and deploy machine learning models.
Here is my CV (PDF)!
🔥 News
- 2024.09.: 🎉🎉 My paper titled “Gastrointestinal image stitching based on improved unsupervised algorithm” was published in PLOS ONE, where I contributed as the second author!!!
📝 Publications
Gastrointestinal image stitching based on improved unsupervised algorithm
Yu Jiang, Second Author
- Submitted to “PLOS ONE”, 2024.
🔬 Research Projects
- Student Psychological Assessment System Based on CloudEdge Collaboration
Mar 2023 - Present
Description: This project develops a psychological assessment system for students through cloud-edge collaboration and intelligent data analysis methods.
My Contribution:
- Developed a multi-head attention mechanism for text sentiment analysis.
- Designed a Transformer-based audio processing module for emotion detection.
- Integrated LMF for multimodal feature fusion.
Technologies Used: Python, PyTorch, Transformer, LMF, Att-BiLSTM
- Medical Visualization System Based on Computer Vision
Mar 2023 - Present
Description: This project utilizes advanced deep learning and NERF 3D reconstruction to develop an intelligent system that enhances the efficiency and accuracy of medical image processing and diagnosis.
My Contribution:
- Applied deep learning with NERF 3D reconstruction for medical imaging.
- Developed an unsupervised solution for processing large medical datasets.
- Reduced annotation costs and enhanced model generalization.
Technologies Used: Python, PyTorch, NERF, Unsupervised Learning, Deep Learning
- FieldPestNet: High-Accuracy Insect Recognition in Agricultural Fields
Mar 2024 - Present
Description: This project applies machine learning and deep learning techniques to improve insect recognition accuracy in agricultural fields, offering technological support for precision farming.
My Contribution:
- Experimented with various machine learning methods to enhance insect recognition accuracy.
- Applied semi-supervised and unsupervised learning techniques to reduce data annotation requirements.
- Improved training efficiency and model scalability.
Technologies Used: Python, PyTorch, Semi-supervised Learning, Unsupervised Learning, Deep Learning
🏆 Honors and Awards
Research Grants:
- Sichuan University Students Innovation and Entrepreneurship Project
- University-level Student Research Interest Project
Achievements:
- Second Prize: Sichuan College Students Intelligent Agricultural Equipment Innovation Design Competition
- Second Prize (Red Special Category): 17th “Challenge Cup” Sichuan Provincial Extracurricular Academic Science and Technology Works Competition for College Students
- Third Prize: Sichuan Provincial Undergraduate Group, Sichuan College Student Computer Design Competition and 16th China National College Student Computer Design Competition
- Outstanding Student: University Level
- Second Prize: Big Data Special Category, 8th Internet of Things Application Innovation Competition
- Silver Prize: Undergraduate Creative Group, Higher Education Division, “Internet+” College Students’ Innovation and Entrepreneurship Competition, Sichuan Agricultural University
📖 Education
- Sep 2022 - Present: Sichuan Agricultural University, Ya’an, Sichuan, Junior in Data Science and Big Data Technology.
- GPA: 90.95 / 100
- Related Courses: Data structure, Python, Machine learning, Artificial intelligence, Data analysis, Operations Research
- Sep 2023 - Present: Sichuan Agricultural University, Chengdu, Sichuan, Sophomore in finance (minor).
- Related Courses: Finance, Economics, Statistics, Financial management, Risk management
💻 Internships
- Jan 2024: Chengdu Shuangliu Branch of China CITIC Bank Co., LTD, Intern
- Applied principles and techniques of risk management in financial markets.
- Leveraged advanced data analysis techniques to evaluate the impact of different scenarios on various industries.
- Actively participated in the innovation and development of financial technology.
- Jul 2024: Mianyang Changhong Electric Co., LTD, Cloud Data Center, Intern
- Gained hands-on experience in database management and operations.
- Applied backend development techniques using Java to implement various projects.
- Developed and implemented predictive models for data forecasting.
- Worked collaboratively with the team to optimize cloud-based solutions for data processing.