LabCompass

Hoin Jung

Computer Science · Purdue University West Lafayette

OpenAlex
Early career · publishing since 2021Rising activity
Multimodal Machine Learning ApplicationsTopic ModelingNatural Language Processing TechniquesInformation Retrieval and Search BehaviorAnomaly Detection Techniques and Applications

Publications

15

Citations

132

Est. group size

—

Recurring co-author estimate

Active years

6

Publishing since 2021

Research summary
AI-generated

Hoin Jung's recent work focuses on multimodal machine learning and retrieval-augmented generation (RAG), a technique that combines large language models with external information retrieval to improve accuracy and reduce bias in generated text. Other projects touch on topic modeling, novel category discovery in imbalanced datasets, and applied uses of machine learning such as antenna design and building extraction from satellite imagery. The work spans methodological AI research and applied case studies across different domains.

Multimodal machine learningRetrieval-augmented generation (RAG)Natural language processingTopic modeling and category discoveryApplied machine learning (remote sensing, antenna design)

Publication activity was minimal or absent for most of the past decade but has grown sharply since 2024, with the highest output recorded in 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
171819202021: 1 publication2122232024: 3 publications242025: 4 publications252026: 7 publications726
Recent publications
Publishes in
  • arXiv (Cornell University)×8
  • IEEE Transactions on Geoscience and Remote Sensing×1
  • Current Issues in Tourism×1
  • IEEE journal on multiscale and multiphysics computational techniques×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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