Hello, my name is Yinhua Piao, and I am a Ph.D. student in computer science at Seoul National University (SNU). I received my Bachelor’s degree in Computer Science from Jilin University in 2018 and my Master’s degree in Computer Science from the Bio & Health Informatics (BHI) lab at SNU in 2020. Currently, I am pursuing a Doctoral degree and working with Professor Sun Kim in the BHI Lab at SNU.

My research interests lie in developing computational methods to address complex problems in clinical and biomedical domains, such as personalized healthcare data analysis and drug discovery. Specifically, I focus on graph representation learning models and explainable, robust techniques, aiming to improve personalized medicine.

🔥 News

• 2024.09:  🎉🎉 I won the Youlchon AI Star Fellowship 2024.
• 2024.04: Co-work is accepted by Computational and Structural Biotechnology Journal 2024.
• 2024.02: Our work is accepted by CVPR 2024.
• 2024.02: Co-work is accepted by ICLR tiny paper 2024.
• 2024.02: I won the 30th Samsung HumanTech Paper Award.

  📝 Publications

• CSBJ 2024 Multi-layered Knowledge Graph Neural Network Reveals Pathway-level Agreement of Three Breast Cancer Multi-gene Assays
  Sangseon Lee*, Joonhyeong Park*, Yinhua Piao, Dohoon Lee, Danyeong Lee, Sun Kim
• CVPR 2024 Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
  Yinhua Piao, Sangseon Lee, Yijingxiu Lu, Sun Kim | Project
• ICLR 2024 Tiny Paper Track Enhancing Drug-Drug Interaction Prediction with Context-Aware Architecture
  Yijingxiu Lu, Yinhua Piao, Sun Kim | Project
• CSBJ 2023 Exploring Chemical Space for Lead Identification by Propagating on Chemical Similarity Network
  Jungseob Yi, Sangseon Lee, Sangsoo Lim, Changyun Cho, Yinhua Piao, Marie Yeo, Dongkyu Kim, Sun Kim, Sunho Lee | Project
• ACL 2023 Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
  Nayeon Kim*, Yinhua Piao*, Sun Kim | Project
• IJMS 2022 DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer
  Jihye Shin*, Yinhua Piao*, Dongmin Bang, Sun Kim, Kyuri Jo | Project
• NeurIPS 2022 SPGP: Structure Prototype Guided Graph Pooling
  Sangseon Lee, Dohoon Lee, Yinhua Piao, Sun Kim
• CSBJ 2022 On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach
  Sangsoo Lim, Sangseon Lee, Yinhua Piao, MinGyu Choi, Dongmin Bang, Jeonghyeon Gu, Sun Kim
• AAAI 2022 Sparse Structure learning via Graph Neural Networks for Inductive Document Classification
  Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim| Project
• Mathematics 2022 Graph convolutional network for drug response prediction using gene expression data
  Seonghun Kim, Seockhun Bae, Yinhua Piao, Kyuri Jo | Project

🎖 Honors and Awards

• [2024.09] Youlchon AI Star Fellowship.
• [2024.02] The 30th Samsung HumanTech Paper Award.
• [2022.04] AIIS Retreat Best Poster Award. [link]
• [2022.09] The 27th Samsung HumanTech Paper Award (Bronze Prize) [link]
• [2022.02] AAAI Student Scholar Scholarship.
• [2020.06 - 2022.01] SNU Global Scholarships II. [link]

📖 Educations

• [2020.09 - now] Ph.D. Candidate in Computer Science and Engineering, Seoul National University.
• [2018.09 - 2020.06] M.S. Student in Computer Science and Engineering, Seoul National University.
• [2014.09 - 2018.06] B.S. Student in Software Engineering, Jilin University.