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 solve complex problems in healthcare and bioinformatics. Specifically, I focus on applying machine learning and data mining techniques to analyze and interpret large-scale healthcare data, identify biomarkers, and improve personalized clinical treatments.

🔥 News

• 2024.02:  🎉🎉 my 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.
• 2023.08: co-work is accepted by CSBJ 2023.
• 2023.05: co-work is accepted by ACL 2023.

📝 Publications

• 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

• [2024.02] Samsung HumanTech Paper Award.
• [2022.04] AIIS Retreat Best Poster Award. [link]
• [2022.09] 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 - 2023.05 (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.