Dongxiao Li (李东晓)

pronunciation

The first name is pronounced as /Tung Hiu/. I'm more than happy to accept any approximation, so please feel free to use your favorite variants/surrogates!

Undergraduate
Data Science and Big Data Technology
Minzu University of China & City University of Macau
Email: dongxiaolee6@gmail.com & D23090600680@cityu.edu.mo

Projects / Publications / Competitions / Teaching & Service / Awards / Research Group

About

Hi, I am an undergraduate student in a joint program between Minzu University of China and City University of Macau, with a research focus on the intersection of AI for Healthcare, Vision-Language Models, and Large Language Models. My primary interests include Medical Image Analysis (cardiovascular angiography segmentation, radiology report generation), Multimodal Clinical AI (hand hygiene compliance monitoring with skeleton-guided vision and prototype-anchored RAG), and Computer Vision.

Throughout my academic journey, I have been fortunate to receive guidance from Professors Fengshi Jing and Yu Weng, while also collaborating closely with medical professionals such as Chief Physician Wen Jin and Physician Yu Sun from the Second People's Hospital of Guangdong Province, as well as Chief Physician Weibin Cheng from Jinan University Affiliated Provincial Second Hospital and City University of Hong Kong. Hao Ren, as an engineer at the Artificial Intelligence Research Institute of the Second People's Hospital of Guangdong Province, has played a pivotal role in guiding my research. I am deeply grateful for the invaluable insights and support from all of them, which have significantly enriched my academic experience.

For undergraduate or graduate students at Minzu University of China, I am open to collaboration on projects or papers related to vision-language models or AI for healthcare. Additionally, I welcome opportunities to work together in academic and non-academic competitions, both within China and internationally.

Projects

Research Projects

• AI-Driven Hand Hygiene Compliance Monitoring System
  Project Leader / First Author
  A two-stage framework combining skeleton-guided Vision Transformer with prototype-anchored dual-stream RAG for automated WHO hand hygiene assessment. Under review at ACM ICMR 2026 (CCF-B).


• CardioVision (LASF Framework): Coronary Angiography Segmentation System
  Project Leader / Co-first Author
  A locally adaptive segmentation framework for cardiac angiography vessel analysis. Published in Health Information Science and Systems (SCI Q2), 2025.


• DyG-R: Dynamic Anatomy-Guided Graph Reasoning for Radiology Report Generation
  Second Author
  Structure-aware retrieval framework for faithful radiology report generation. In preparation for AAAI 2027 (CCF-A).

Funded Research Programs

• Health Perception and Smart Home Hospital Ward
  Research Assistant · Guangzhou Key Laboratory Project, July – Dec. 2025
  Conducted multi-source health data collection, preprocessing, and exploratory analysis for health perception research in smart home and hospital ward scenarios; supported experimental workflow organization and data pipeline validation for intelligent healthcare systems.


• Research on HIV Source Tracing and Precision Intervention Based on Multi-Modal Network Fusion Technology
  Research Assistant · National Key R&D Program, July – Sept. 2024
  Supported multi-modal network fusion research for HIV source tracing and precision intervention through heterogeneous data processing, experimental analysis, and result validation in network-based disease transmission studies.

Industry & Engineering Projects

• Quantitative Analyst Intern, AIA Group Limited, Hong Kong
  Intern, July – Sept. 2023
  Automated multi-source financial data collection with Python; co-authored quarterly futures market trend reports.


• MapReduce-Based E-Commerce Recommendation System
  Project Leader
  Five-stage Hadoop MapReduce pipeline on 100M+ Alibaba UserBehavior interactions.

Publications

• LASF: a local adaptive segmentation framework for coronary angiogram segments
  H. Ren*, D. Li*, F. Jing^# et al.
  Health Information Science and Systems (SCI, JCR Q2), 2025.
  Co-first Author.


• Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study
  H. Ren, ..., D. Li et al.
  JMIR Aging (SCI, JCR Q1), 2025.


• Skynet-Driven Prediction of Synthetic Sky Images for Ultra-Short-Term Solar Forecasting
  H. He, D. Li* et al.
  IEEE ICET (EI Indexed), 2024.
  First Student Author.


• Anonymous
  D. Li et al.
  ACM ICMR 2026 (CCF-B).
  First Author. Under Review.


• Anonymous
  Anon. et al.
  Target: AAAI 2027 (CCF-A).
  Second Author. In Preparation.

Competitions

Mathematical Modeling Competitions

• The Mathematical Contest in Modeling (MCM)®&The Interdisciplinary Contest in Modeling (ICM)®, 2024
  WildTech: Disrupting Wildlife Trafficking with Digital Innovation
  designated as Finalist
  Author: Xinyue Zhang, Xingyuan Tian, Dongxiao Li
  Mentor: Ying Liu
  Modeling Engineer.

Innovation and Entrepreneurship Competitions

• China International College Students' Innovation Competition (CICSIC), 2025
  CardioVision: AI-Powered Coronary Angiography Analysis System
  designated as National Gold Award
  Team Leader.


• China International College Students' Innovation Competition, 2024
  HeartVista: A Heart Angiography Image Recognition and Segmentation System
  designated as Silver Award (Hainan, Higher Education Main Track)
  Author: Dongxiao Li, Xingyuan Tian, Xinyue Zhang, Yizhe Xie, Ruinan Chen, Yijun Huang, Jiaqi Liu, Shangxu Chang, Qianyu Yao, Yuzhao Song, Wenxin Xuwei, Weihan Shi
  Mentor: Yu Weng, Ying Liu, Fengshi Jing, Kaishun Wu, Hao Ren, Weibin Cheng, Zhongzhi Xu, Lefeng Zhang, Minfeng Qi
  Team Leader, Technical Director.

Computer Technology and Design Competition

• Chinese Collegiate Computing Competition, 2024
  HeartVista: A Heart Angiography Image Recognition and Segmentation System Based on Yolov8
  designated as the Third prize (Hainan)
  Author: Xinyue Zhang, Xingyuan Tian, Dongxiao Li, Yizhe Xie
  Mentor: Yu Weng, Ying Liu
  Team Leader, Technical Director.


• China College Student Digital MediaTechnology Works and Creativity Competition, 2024
  Daily planning and clock in WeChat Mini Program
  designated as the Third prize (Hainan)
  Author: Dongxiao Li, Yinzhen Cai, Chenlong Ran, Yifei Tang
  Mentor: Ting Zhang
  Team Leader.

"Challenge Cup" Competitions

• 14th "Challenge Cup" National College Student Business Plan Competition, 2024
  designated as National Silver Award
  Team Leader.


• 19th "Challenge Cup" National College Student Curricular Academic Science and Technology Works Competition, 2025
  designated as National Bronze Award
  Team Leader.

Market Research Competitions

• 13th Asia-Pacific University Student Market Research Competition, 2025
  designated as International First Prize


• 15th China University Student Market Research and Analysis Competition, 2025
  designated as National First Prize

Teaching

• Student, Linear Algebra, 98, Spring 2024
• Student, Fundamental of Programing, 99, Spring 2024
• Student, Object-oriented Programming, 100, Fall 2024

Service

Awards

• National Scholarship, Ministry of Education of China (Top 1% nationwide), 2024
• National Gold Award (Team Leader), China International College Students' Innovation Competition (CICSIC), 2025
• Finalist Award (Top 2% Worldwide, Modeling Engineer), MCM/ICM, COMAP, 2024
• National Silver Award (Team Leader), 14th "Challenge Cup" National College Student Business Plan Competition, 2024
• National Bronze Award (Team Leader), 19th "Challenge Cup" National College Student Curricular Academic Science and Technology Works Competition, 2025
• International First Prize, 13th Asia-Pacific University Student Market Research Competition, 2025
• National First Prize, 15th China University Student Market Research and Analysis Competition, 2025
• Professional First-class Scholarship, 2024

Research Group

From January 2024 to the present, I have had the honor of leading a young team that has made significant progress in both academic and non-academic fields. Key highlights include:

• We have won over 15 awards at the international, national, and provincial levels.
• Our paper "WildTech: Disrupting Wildlife Trafficking with Digital Innovation" earned the Finalist Award (Top 2% Worldwide) in the 2024 MCM/ICM.
• Our project "CardioVision" won the National Gold Award at the China International College Students' Innovation Competition (CICSIC) 2025.

On the research front, my team and I have published two SCI-indexed journal papers (HISS, JCR Q2; JMIR Aging, JCR Q1) and one EI-indexed conference paper (IEEE ICET 2024). One first-authored paper is currently under review at ACM ICMR 2026 (CCF-B), and another is in preparation for AAAI 2027 (CCF-A). Our work spans medical image analysis, multimodal clinical AI, and machine learning for public health.

I would also like to take this opportunity to formally introduce my young, humble, and visionary team, each with diverse interdisciplinary backgrounds, interests, and skills:

• Yizhe Xie
• Xinyue Zhang
• Xingyuan Tian
• Ruinan Chen

It has been my utmost honor to lead such a passionate and driven group. It is through their selfless dedication and brilliance that we have been able to overcome countless challenges, push our limits, and ultimately achieve progress.

Last update: 2026/03. Template credited to Zhihong Chen's, Tengyu Ma's and Danqi Chen's.