Hello! I am Zhijin Rong (容志谨), an undergraduate student in Mathematics and Applied Mathematics at Ocean University of China. My research interests focus on image processing (classification, segmentation, reconstruction, and denoising) and trustworthy AI (information alignment and agent deception).

I have a strong background in mathematical modeling and scientific computing, having won awards such as the Meritorious Winner in the 2025 MCM/ICM and National Second Prize in the 2025 CUMCM. You can check my Google Scholar profile here

🔥 News

• 2026.10:  🎉🎉 Our paper on “DARE: Domain-Aware Representation Enhancement for Data-Efficient Histopathological Tissue Classification” has been accepted by Biomedical Signal Processing and Control (BSPC, JCR Q1).
• 2026.05:  🎉🎉 Awarded Honorable Mention (International Second Prize) in the 2026 Mathematical Contest in Modeling (MCM).
• 2026.04:  🎉🎉 Honored as Outstanding Teaching Assistant of the University (top 1% university-wide) for the course Ordinary Differential Equation.
• 2025.11:  🎉🎉 Awarded National Second Prize in the 2025 National Undergraduate Mathematics Modeling Competition.
• 2025.04:  🎉🎉 Awarded Meritorious Winner (International First Prize) in the 2025 Mathematical Contest in Modeling (ICM).
• 2025.03:  🎉🎉 Our research paper on coastal seafood industry economic impact using the DID-SARIMA model was officially accepted and published in Highlights in Science, Engineering and Technology
• 2024.11:  🎉🎉 Awarded Provincial Second Prize in the 2024 National Undergraduate Mathematics Modeling Competition (Shandong Division).

📝 Publications

BSPC

DARE: Domain-Aware Representation Enhancement for Data-Efficient Histopathological Tissue Classification

Zhijin Rong, X. Zeng*, J. Zhang, Q. Zhang*

^*Corresponding author.

Biomedical Signal Processing and Control (Accept, 2026)

Project

• Introduced statistical sampling theory to construct a dual-enhancement framework (DARE) to address scarce annotations and high heterogeneity in medical images.

Highl. Sci. Eng. Technol.

A Study on the Impact of Nuclear Pollution Discharge on the Seafood Industry in Coastal Cities Based on the DID-SARIMA Model

X. Wang*†, Zhijin Rong†, Z. Zhang, Y. Liu, F. Yang, X. Song.
^†Equal contribution. ^*Corresponding author.

Highlights in Science, Engineering and Technology, 2025

Paper

• Integrated Difference-in-Differences (DID) causal inference with SARIMA dynamic time-series forecasting to evaluate economic impacts.

🎖 Honors and Awards

• 2026.10 National Scholarship (2025-2026)
• 2026.05 Honorable Mention, Mathematical Contest in Modeling (MCM，2026)
• 2025.11 First-Class Comprehensive University Scholarship & Outstanding Student of the University (2024-2025)
• 2025.11 National Second Prize, National Undergraduate Mathematics Modeling Competition (CUMCM，2025)
• 2025.05 Meritorious Winner, Mathematical Contest in Modeling (ICM，2025)
• 2024.11 First-Class Comprehensive University Scholarship & Outstanding Student of the University (2023-2024)
• 2024.11 Provincial Second Prize, National Undergraduate Mathematics Modeling Competition (CUMCM, 2024)

📖 Educations

2023.09 - Present, Ocean University of China (OUC), Qingdao, China
Undergraduate in Mathematics and Applied Mathematics

2024.07 - 2024.07, National University of Singapore (NUS), Singapore
Visiting Student, Data Analytics and Mathematical Statistics Programme (Overall Grade: Distinction)

💼 Academic Service

• 2025.03 - 2026.06, Teaching Assistant, Undergraduate second-year courses of OUC, Numerical methods.
• 2025.09 - 2026.02, Teaching Assistant (Outstanding), Undergraduate second-year courses of OUC, Ordinary Differential Equation.

💻 Research Experience

• Elimination of Batch Effects in Viral Abundance Quantification

  Core Member (2026.04 - Present)

  • Applying mathematical and statistical theories, specifically Bayesian estimation and robust regression modeling methodologies, to systematically eliminate batch effects in viral abundance across high-throughput sequencing datasets.

• DARE: Domain-Aware Representation Enhancement for Data-Efficient Histopathological Tissue Classification

  First Author (2025.03 - 2026.04)

  • Developed the DARE dual-enhancement framework using statistical sampling theory, combining image-space low-order statistic perturbation and feature-space pseudo-domain interpolation to resolve domain shift issues under few-shot scenarios. Resulted in a first-author paper currently under revision at Biomedical Signal Processing and Control (JCR Q1).

• Research on the Economic Impact of Coastal Seafood Industry Based on DID-SARIMA Model

  Co-First Author (2023 - 2024)

  • Integrated the Difference-in-Differences (DID) method for policy impact causal inference and utilized the SARIMA model for seasonal time-series dynamic forecasting, quantitatively evaluating the long-term economic effects of nuclear wastewater discharge on the regional coastal seafood industry. Resulted in a co-first-author publication in Highlights in Science, Engineering and Technology.