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
Latest News
Recent updates and achievements
National Scholarship Award
I am honored to receive the National Scholarship for my research contributions.
New Paper on arXiv
Our work "Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses" is now available on arXiv. Read Paper →
Paper Accepted at PLOS Computational Biology
Our work "ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning" has been accepted. Read Paper →
Featured in University Promotion
Selected as an outstanding student representative for Xi'an Jiaotong University promotion. View Article →
Paper Accepted at MICCAI 2023
Early acceptance of our work "Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection". Read Paper →
Research Highlights
Featured research projects and contributions
Medical Image Analysis
Developing advanced deep learning models for medical image interpretation, focusing on ultrasound and CT imaging modalities.
Learn MoreAI Diagnosis Systems
Building intelligent systems for automated disease detection and diagnosis, with emphasis on accuracy and interpretability.
Learn MoreResearch 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
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.
Machine Learning
Led tutorial sessions and graded assignments for undergraduate machine learning course. Developed supplementary materials and provided comprehensive student support.
Course Materials
Major Project Guidance
Mentoring undergraduate students on their major research projects in AI and computer vision. Providing guidance on research methodology, implementation, and academic writing.
Talks & Presentations
Academic presentations and invited talks
AI in Medical Diagnosis: Current Trends and Future Directions
Invited TalkOverview of current AI applications in medical diagnosis and emerging opportunities in the field.
Mining Temporal Context for Medical Image Analysis
ConferencePresentation of our work on temporal context mining for ultrasound lesion detection.
Deep Learning for Medical Imaging: Challenges and Solutions
Invited TalkDiscussion on current challenges in applying deep learning to medical imaging tasks.
Awesome Resources
Useful links and resources for research
