Jaehyun Ha
Department of Artificial Intelligence, POSTECH, South Korea
Research Interests
Building AI-native database systems for unified analytics and inference on multi-modal data
- Graph Databases
- Architecting a foundational query framework based on a unified graph representation of multi-modal data
- Semantic Operator
- Embedding Large Language Models (LLMs) into the database to enable context-aware querying of unstructured data
- Query Optimization
- Designing proxy models and novel cardinality estimation methods to optimize the execution of computationally expensive semantic operators
Publications
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2027
CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing.SIGMOD 2027.
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2026
CADENZA in Action: Breaking the Monolith with Intent-Dependent Plan Spaces for Semantic Queries.VLDB 2026 (Demo).
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2026
TurboLynx: Schemaless Graph Engine Strikes Back for General-Purpose Analytics.VLDB 2026.
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2026
TurboLynx in Action: A Schemaless Graph Engine for General-Purpose Analytics.VLDB 2026 (Demo).
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2024
DoppelGanger++: Towards Fast Dependency Graph Generation for Database Replay.SIGMOD 2024.
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2024
DoppelGanger++ in Action: A Database Replay System with Fast Dependency Graph Generation.VLDB 2024 (Demo).
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2023
Guaranteeing the O(AGM/OUT) runtime for uniform sampling and size estimation over joins.PODS 2023.
Professional Experience
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Google Systems Research Group
Student Researcher · Sunnyvale, CA, USA
- Researching hardware-software co-optimization to accelerate semantic queries
- Hosted by Yeounoh Chung; collaborated with Helena Caminal and Fatma Özcan
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University of Illinois Urbana-Champaign (UIUC)
Visiting Scholar · Urbana–Champaign, IL, USA
- Conducted research on semantic operator optimization, resulting in a paper accepted at SIGMOD 2027
- Joint research project under the supervision of Prof. Yongjoo Park
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Digital Platform team, SK hynix Inc.
Software Engineer Intern · Icheon, Korea
- Developed real-time video comment overlay system for SK hynix’s internal video streaming systems
- Won silver prize (2nd) in internship contest
Education
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POSTECH, Graduate School of Artificial Intelligence
M.S./Ph.D. Integrated Program · Data Systems Lab
Advisor: Prof. Wook-Shin Han · Expected: Feb. 2028
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POSTECH, Dept. of Computer Science and Engineering
B.S. in Computer Science and Engineering · GPA: 4.06 / 4.3
Graduated with the highest GPA in CS Dept.
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Ulsan Science High School
Graduated early