카이스트 황지영 Big Data Intelligence Lab @ KAIST
ALUMNI
- Jaejun Lee (이재준)
- M.S. in Computing, Feb. 2023, KAIST
- Thesis: Image-based Augmented Knowledge Graph Embedding
- B.S. in Computing (double major: Mathematical Sciences), Aug. 2021, KAIST
- Seunghwan Kong (공승환)
- M.S. in Computing, Feb. 2023, KAIST
- Thesis: Representation Learning on Knowledge Graphs with Entity Types
- B.S. in Computing (double major: Mathematical Sciences), Aug. 2021, KAIST
- Heehyeon Kim (김희현)
- M.S. in Computing, Aug. 2024, KAIST
- Thesis: Fraud Detection Using Graph Neural Networks
- B.S. in IoT Artificial Intelligence Convergence, Aug. 2022, Chonnam National University
- Minsung Hwang (황민성)
- M.S. in Computing, Aug. 2024, KAIST
- Thesis: Theoretical Generalization Bounds for Knowledge Graph Representation Learning
- B.S. in Electrical Engineering (minor: Computing), Feb. 2023, KAIST
- Jinhyeok Choi (최진혁)
- M.S. in Computing, Feb. 2025, KAIST
- Thesis: Spatio-Temporal Graph Forecasting by Modeling Long-Range Dependency via Selective State Spaces
- B.S. in Computing (minor: Electrical Engineering), Feb. 2023, KAIST
- Junho Park (박준호)
- M.S. in Computing, Feb. 2025, KAIST
- Thesis: Root Cause Analysis for Microservice Systems with Resource-Sharing Dependencies
- B.S. in Electrical Engineering and Computer Science, Aug. 2021, GIST
- Kyeongryul Lee (이경률)
- M.S. in Data Science, Feb. 2026, KAIST
- Thesis: Probing Safety Vulnerabilities in Large Language Models and Multimodal Models via Auto-Generated Jailbreak Prompts
- B.S. in Data Science (double major: Financial Mathematics & Statistics), Feb. 2024, The University of Sydney
- Minhyeong An (안민형)
- M.S. in Computing, Feb. 2026, KAIST
- Thesis: Graph-enhanced Retrieval-Augmented Generation for Microservice Root Cause Analysis with Large Language Models
- B.S. in Computing (double major: Electrical Engineering), Feb. 2024, KAIST
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Daejeon 34141, Republic of Korea
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