Shinhwan Kang CV PDF

Shinhwan Kang

Ph.D. Candidate at Korea Advanced Institute of Science and Technology (KAIST)

Research interests include data augmentation, large language models, dataset construction, healthcare / bioinformatics, and graph summarization.

Large Language Models Data Augmentation Graph Summarization Healthcare AI Dataset Construction

Research

Publications

2026

[C9] Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMs

EMNLP 2026(Conference on Empirical Methods in Natural Language Processing)

Geon Lee, Kyungho Kim, Dongwon Choi, Juyeon Kim, Shinhwan Kang, and Kijung Shin

2026

[C8] Training-Free LLM-Based Recommendation with Post-LLM Item Refinement Using Collaborative Signals

CIKM 2026(ACM Conference on Information and Knowledge Management · Short Paper)

Kyungho Kim, Sunwoo Kim, Geon Lee, Shinhwan Kang, Sojeong Kim, Liam Collins, Bhuvesh Kumar, Donald Loveland, and Kijung Shin

Paper ↗Code ↗
2026

[C7] Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models

RecSys 2026(ACM Conference on Recommender Systems · Acceptance Ratio ≈ 18%)

Shinhwan Kang, Soo Yong Lee, Jaewon Kim, Kijung Shin, and Buru Chang

Paper ↗Code ↗
2026

[C6] ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents

WWW 2026(ACM International World Wide Web Conference · Short Paper)

Kyungho Kim, Geon Lee, Juyeon Kim, Dongwon Choi, Shinhwan Kang, and Kijung Shin

Paper ↗Code ↗
2025

[C5] RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases

NeurIPS 2025(Advances in Neural Information Processing Systems)

Dongwon Choi, Sunwoo Kim, Juyeon Kim, Kyungho Kim, Geon Lee, Shinhwan Kang, and Kijung Shin

Paper ↗Code ↗Docs ↗Dataset ↗
2025

[J4] Gene expression inference based on graph neural networks using L1000 data

Briefings in Bioinformatics

Tae Hyun Kim*, Harim Kim*, Hyunjin Hwang*, Shinhwan Kang*, Kijung Shin, and Inwha Baek

Paper ↗Code ↗
2025

[J3] Inductive Influence Estimation and Maximization over Unseen Social Networks under Two Diffusion Models

Data Mining and Knowledge Discovery

Jihoon Ko*, Sojeong Kim*, Kyuhan Lee, Shinhwan Kang, Dongyeong Hwang, Kijung Shin, and Noseong Park

Paper ↗Code ↗
2022

[J2] BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning

ACM TIST(ACM Transactions on Intelligent Systems and Technology)

Jihoon Ko*, Shinhwan Kang*, Taehyung Kwon, Heechan Moon, and Kijung Shin

Paper ↗Code ↗Docs ↗
2024

[C4] Rethinking reconstruction-based graph-level anomaly detection: limitations and a simple remedy

NeurIPS 2024(Advances in Neural Information Processing Systems)

Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, and Kijung Shin

Paper ↗Code ↗Poster ↗
2024

[C3] Hypeboy: Generative self-supervised representation learning on hypergraphs

ICLR 2024(International Conference on Learning Representations)

Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, and Kijung Shin

Paper ↗Code ↗Poster ↗
2023

[J1] Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm

Data Mining and Knowledge Discovery

Fanchen Bu, Shinhwan Kang, and Kijung Shin

Paper ↗Code ↗Poster ↗
2022

[W1] Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition

NeurIPS 2022(Advances in Neural Information Processing Systems · Workshop Competition Track)

Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, and Se-Young Yun

Paper ↗Code ↗
2022

[C2] Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications

ICDE 2022(International Conference on Data Engineering · Acceptance Ratio ≈ 27%)

Shinhwan Kang, Kyuhan Lee, and Kijung Shin

Paper ↗Code ↗Video ↗Slides ↗
2022

[C1] Are Edge Weights in Summary Graphs Useful? - A Comparative Study

PAKDD 2022(Pacific-Asia Conference on Knowledge Discovery and Data Mining · Acceptance Ratio ≈ 19.3%)

Shinhwan Kang, Kyuhan Lee, and Kijung Shin

Paper ↗Code ↗Slides ↗

Career

Experience

Mar. 2023 — Jun. 2023

ML X, NAVER · Internship

Contributed to the development of a conversational recommender system powered by HyperClova and explored dataset construction techniques for fine-tuning using large language models.

Seongnam, Republic of Korea

Jul. 2020 — Feb. 2021

KAIST Data Mining Lab · Individual Researcher

Participated in an individual project on graph summarization algorithms. Advisor: Kijung Shin.

KAIST, Daejeon, Republic of Korea

Mar. 2018 — Jun. 2020

DMIS Laboratory, Korea University · Undergraduate Researcher

Participated in a lead optimization project and research efforts in machine learning, especially deep learning. Advisor: Jaewoo Kang.

Seoul, Republic of Korea

Feb. 2019 — Jul. 2019

Brain Engineering Laboratory, Korea University · Undergraduate Researcher

Worked on brain signal data collection and processing, including real-time intelligent emotion recognition based on multi-modal brain signals. Advisor: Sunhee Kim.

Seoul, Republic of Korea

Background

Education

2023 — Present

Korea Advanced Institute of Science and Technology (KAIST)

Ph.D. Candidate, Kim Jaechul Graduate School of AI

Advisor: Kijung Shin · Seoul, Republic of Korea

2021 — 2023

Korea Advanced Institute of Science and Technology (KAIST)

M.S., Kim Jaechul Graduate School of AI

Advisor: Kijung Shin · Seoul, Republic of Korea

2017 — 2021

Korea University

B.E., Computer Science and Engineering

GPA 3.99 / 4.5 · Major GPA 4.09 / 4.5 · Seoul, Republic of Korea

Research & Development

Projects

Mar. 2025 — Present

EntireDB2AI · Software Technology Advanced Research Lab (StarLab)

Proposed an LLM-based relational database (RDB) augmentation method.

Republic of Korea · Project ↗

Mar. 2021 — Feb. 2025

Deep Learning-Based Precipitation Nowcasting · National Institute of Meteorological Sciences

Developed a classification-based precipitation nowcasting model for short-term forecasts (up to 6 hours, in 10-minute intervals).

Processed and utilized terabyte (TB)-scale radar and satellite datasets for training and evaluation.

Republic of Korea

Recognition

Awards & Recognition

Nov. 2025

Excellence Award Competition (3th) · National Institute of Meteorological Sciences

Developed a classification-based precipitation nowcasting model for short-term forecasts and processed TB-scale radar and satellite datasets.

Changwon Exhibition Convention Center, South Korea

Dec. 2022

Weather4Cast Competition (4th) · NeurIPS

Predicted super-resolution rain movies, addressed transfer learning across space and time under strong shifts, and exploited data fusion with radar and multi-band satellite images.

Online

Jun. 2020

Project for Graduation Competition (1st) · Korea University Computer Science and Engineering

Lead Optimization utilizing Gene Expression Profile.

Online

Apr. 2020

AI Dataset Challenge (3rd) · SELECT STAR

Proposed “Korean Blank Reasoning Dataset” based on crowdsourcing.

Online

Community

Academic Service

2026

Reviewer @ CIKM

Full, Applied Research Track · ACM International Conference on Information and Knowledge Management

2026

Reviewer @ SIGIR

ACM Special Interest Group on Information Retrieval

2026

Reviewer @ WWW

ACM International World Wide Web Conference

2025

Reviewer @ CIKM

Short Track · ACM International Conference on Information and Knowledge Management

2025, 2026

Reviewer @ NeurIPS

Advances in Neural Information Processing Systems

Dec. 2020 – Mar. 2021

Teaching Assistant @ Upstage Boostcamp AI Tech

Machine Learning with Graphs

Activities

Extra Curricular Activities

Jul. 2017 — Aug. 2018

Microsoft Student Partner Developer · Microsoft

Recommendation system with Azure Machine Learning (Nov. 2017, Dec. 2017); continuous distribution of Web App using GitHub (Jun. 2018); Azure Functions & Cognitive API (Jul. 2018).

Attended the Asia-Pacific Microsoft Students Partners Summit at the National University of Singapore (NUS), May 18–20, 2018.

Republic of Korea

Skills

Skills & Languages

Programming

Python · Java · C

Languages

Korean (Mother Tongue)

English (Fluent)