Education

Work Experience

Publications

Published Papers

• [C7] MARIOH: Multiplicity-Aware Hypergraph Reconstruction
  Kyuhan Lee, Geon Lee, and Kijung Shin
  IEEE ICDE 2025
  [ paper | appendix | slides | code and datasets | bib ]
• [J2] Inductive Influence Estimation and Maximization over Unseen Social Networks under Two Diffusion Models
  Jihoon Ko*, Seojeong Kim*, Kyuhan Lee, Shinhwan Kang, Dongyeong Hwang, Kijung Shin, and Noseong Park
  Data Mining and Knowledge Discovery
  [ paper | code and datasets | bib ]
• [W1] Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data
  Jihoon Ko*, Kyuhan Lee*, Hyunjin Hwang, and Kijung Shin
  SSTDM 2022
  [ paper | slides | code and datasets | bib ]
• [C6] Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications
  Shinwhan Kang, Kyuhan Lee, and Kijung Shin
  IEEE ICDE 2022
  [ paper | appendix | video | slides | code and datasets | bib ]
• [J1] Effective Training Strategies for Deep Learning-Based Precipitation Nowcasting and Estimation
  Jihoon Ko*, Kyuhan Lee*, Hyunjin Hwang*, Seok-Geun Oh, Seok-Woo Son, and Kijung Shin
  Computers & Geosciences
  [ paper | code and datasets | bib ]
• [C5] Are Edge Weights in Summary Graphs Useful? - A Comparative Study
  Shinwhan Kang, Kyuhan Lee, and Kijung Shin
  PAKDD 2022
  [ paper | appendix | code and datasets | bib ]
• [C4] SLUGGER: Lossless Hierarchical Summarization of Massive Graphs
  Kyuhan Lee*, Jihoon Ko*, and Kijung Shin
  IEEE ICDE 2022
  [ paper | appendix | video | slides | code and datasets | bib ]
• [C3] DPGS: Degree-Preserving Graph Summarization
  Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, and Xueqi Cheng
  SIAM SDM 2021 (Acceptance Rate = 21.25% (85/400))
  [ paper | code and datasets | bib ]
• [C2] MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks
  Jihoon Ko, Kyuhan Lee, Kijung Shin, and Noseong Park
  IEEE/ACM ASONAM 2020 (Acceptance Rate = 17.8%)
  [ paper | slides | code and datasets | bib ]
  Selected for fast-track journal invitation
  
• [C1] SSumM: Sparse Summarization of Massive Graphs
  Kyuhan Lee*, Hyeonsoo Jo*, Jihoon Ko, Sungsu Lim, and Kijung Shin
  ACM SIGKDD 2020 (Acceptance Rate = 16.9% (216/1279))
  [ paper | video (short) | video (long) | slides | code and datasets | bib ]

Patents

Registered Patent

• Method Computer Device, and Computer Program for Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data
  Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, and Kijung Shin
  Korean Patent 10-2858175
• Method and Apparatus for Effective Training for Deep Learning-based Precipitation Nowcasting and Estimation
  Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, and Kijung Shin
  Korean Patent 10‑2767119
• Method and System for Sparse Summarization of Massive Graphs
  Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, and Kijung Shin
  Korean Patent 10-2429040

Patent Applications

• Method and System for Personalized Summarization of Graphs
  Shinwhan Kang, Kyuhan Lee, and Kijung Shin
  Korean Patent Application 10-2023-0037867

Teaching

• KAIST AI503 Mathematics for AI
  Teaching Assistant [Fall 2023]
  
• KAIST AI617 Machine Learning for Robotics
  Teaching Assistant [Spring 2022]
  
• KAIST AI506 Data Mining and Search
  Teaching Assistant [Spring 2021, Spring 2023]
  
• KAIST AI607 Graph Mining and Social Network Analysis
  Teaching Assistant [Fall 2021, Fall 2022, Fall 2024]
  

Awards & Honors

• National Science & Technology Scholarship, KOSAF (Mar. 2016 - Feb. 2020)
  Full tuition exemptions for 8 semesters.
• Summa Cum Laude Graduation Honors, Hanyang University (Feb. 2020)
  

Skills

Programming Languages

• Python, Java, C/C++, R, SQL, Bash

Machine Learning

• PyTorch, TensorFlow, Hugging Face Transformers, vLLM, Fine-tuning (LoRA/PEFT, Continual Pre-training)

LLM & RAG

• LangChain, Hybrid Retrieval (Vector DB, BM25, Text-to-SQL), Chroma, Milvus, Prompt Engineering, Agentic Design, VLMs

Data & Infra

• Prometheus, Grafana, Docker, Kubernetes, MongoDB, Vercel, AWS, On-premise deployment

Other

• Git/GitHub, LaTeX, Korean (mother tongue), English (fluent)