About Me

Research in AI for Medical Diagnosis

I am a PhD candidate at the School of Intelligence Science and Technology, Peking University, under the supervision of Prof. Liwei Wang.

My research focuses on the application of machine learning and computer vision in biomedical engineering. I am particularly interested in developing AI-powered medical diagnosis systems that can make healthcare more accessible and accurate.

Research Interests

Machine Learning Computer Vision Medical AI Deep Learning Biomedical Engineering Medical Image Analysis
Mission: Develop artificial intelligence medical diagnosis systems for social good.

Latest News

Recent updates and achievements

Research Highlights

Featured research projects and contributions

Foundational Generative Models

Developing large-scale generative models tailored for medical imaging tasks, with applications in diagnosis and treatment planning.

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AI Diagnosis Systems

Building intelligent systems for automated disease detection and diagnosis, with emphasis on accuracy and interpretability.

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Research Projects

Current and past research initiatives

Publications

Peer-reviewed papers and preprints

Honors & Awards

Recognition and achievements

Teaching Experience

Academic teaching and student mentoring

Information Theory

Spring 2024 Teaching Assistant Peking University

Assisted in course instruction and student mentoring for graduate-level information theory course. Responsibilities included conducting tutorial sessions, grading assignments, and providing one-on-one student support.

60+ Students
16 Weeks

Machine Learning

Fall 2023 Teaching Assistant Peking University

Led tutorial sessions and graded assignments for undergraduate machine learning course. Developed supplementary materials and provided comprehensive student support.

Course Materials
Week 2 - Linear Regression Download
Week 3 - Logistic Regression Download
Week 4 - Decision Trees Download
80+ Students
16 Weeks
4.8/5 Rating

Major Project Guidance

Ongoing Mentor Peking University

Mentoring undergraduate students on their major research projects in AI and computer vision. Providing guidance on research methodology, implementation, and academic writing.

12 Students Mentored
8 Completed Projects

Talks & Presentations

Academic presentations and invited talks

AI in Medical Diagnosis: Current Trends and Future Directions

Invited Talk
PKU AI Workshop
September 2024

Overview of current AI applications in medical diagnosis and emerging opportunities in the field.

Deep Learning for Medical Imaging: Challenges and Solutions

Invited Talk
PKU AI Workshop
May 2023

Discussion on current challenges in applying deep learning to medical imaging tasks.

Awesome Resources

Useful links and resources for research