Hello! I’m Chanyeong Heo

a master’s student in the DataScience Lab at Myongji Universty, South Korea, under the supervision of Prof. Jaehee Jung. My research focuses on artificial intelligence (AI), particularly on Core (diffusion theory-based models) + Domain (medical imaging). Specifically, my work involves generating synthetic medical data using diffusion models and leveraging this data to address data scarcity and improve medical image segmentation.

My key research interests include:

Diffusion Models, Medical Imaging, Medical Image Segmentation, Data Analysis using Generative AI


News

Publications

Diagram for RIA³

HADP: Hybrid A*-Diffusion Planner for Robust Navigation in Dynamic Obstacle Environments

[pdf]

Mingyu Kim*, Chanyeong Heo*, Jaehee Jung (*co-first authors)

IEEE Access [Impact Factor:3.6]

Diagram for RIA³

Controllable Mask Diffusion Model for medical annotation synthesis with semantic information extraction

[pdf][Code]

Chanyeong Heo, Jaehee Jung

Computers in Biology and Medicine [Impact Factor:6.3]

Diagram for RIA³

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization

[pdf][Code]

Chanyeong Heo, Jaehee Jung

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025

Diagram for RIA³

ReCDAP: Relation-Based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph Completion

[pdf] [arXiv] [Code]

Jeongho Kim, Chanyeong Heo, Jaehee Jung

The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2025

Patents

Awards & Honors

Grants