I am a third-year undergraduate student at the School of Big Data & Software Engineering, Chongqing University, based in the vibrant city of Chongqing, China. Under the mentorship of Professor Sheng Huang , I have developed a profound interest in the field of deep learning. For more details about my undergraduate experience, please refer to my CV.

During my undergraduate studies, I have achieved some outcomes in both research and competitive events, extensively studying machine learning and deep learning. My primary research interests lie in deep learning, computer vision, and weakly supervised learning. In this rapidly advancing era of artificial intelligence, I am eager to contribute meaningful and recognized works to the field.

Research interest: high-resolution and fine-grained image classification, medical image classification, vision Transformer, weakly-supervised learning, self-supervised learning, and multi-modal learning.

I am currently applying for a master’s degree/Ph.D. program and am enthusiastic about collaborating with peers and scholars who share my passion for these areas. If my work aligns with your interests, please feel free to contact me.

Academic Research Program

Please refer to the academic research program for more details.

• Research of Tumor Assisted Diagnosis Algorithm Based on Pathology Images.
  • China National University Student Innovation & Entrepreneurship Development Program
  • Role: Project Leader
• Multiple Instance Learning Framework with Masked Hard Instance Mining for Computational Pathology.
  • We propose a novel multiple instance learning framework that achieves state-of-the-art performance in several benchmarks.
  • Role: Co-Author
• Research on Pavement Disease Classification Algorithm Based on Weakly Supervised Learning.
  • We have implemented several industry-leading weakly-supervised learning models and developed a well-established cross-platform application.
  • Role: Project Leader
• Research on Multi-behavioral Recommendation Algorithm Based on Graph Neural Networks.
  • We have reproduced many classical multi-behavioral recommendation algorithms, laying the foundation for subsequent scientific research.
  • Role: Project Leader

Honors and Awards

• Outstanding Students of Chongqing University
• Outstanding Student Cadre of Chongqing University
• Chongqing University 1st/2nd Class Scholarship
• “China Software Cup” College Student Software Design Competition, National 2nd Prize.
• National College Student Software Innovation Competition, National 2nd prize onwards.
• China Undergraduate Mathematical Contest in Modeling, Provincial/Ministerial Level 1st Prize.
• National College Student Software Innovation Competition, Provincial/Ministerial Level 1st Prize.
• China College Students’ ‘Internet+’Innovation and Entrepreneurship Competition, Provincial/Ministerial Level 3rd Prize.

Code Program

To be updated.

Technical Skills

• Programming Languages: Python, C++, Java, MATLAB, Go, Bash
• Deep Learning Frameworks: PyTorch
• Tools: Git, Docker, Linux, Jupyter Notebook, Markdown
• Languages: Chinese (native), English (fluent)
• Others: LaTeX, SQL, HTML, CSS, JavaScript