Nathaniel Kang

Kyungpook National University · Computer Science and Engineering

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Professor

Prof. 강네이트

About

통계적 최적화 및 연합 지능 연구실(SOCAL Lab)을 이끄는 강네이트 교수는 데이터 프라이버시와 연합 학습(federated learning)을 핵심 주제로 연구한다. 데이터 보안과 효율적인 학습 알고리즘을 결합해 신뢰할 수 있는 분산 데이터 사이언스를 추구하며, 비정형 데이터 합성 기술도 함께 다룬다.

Research keywords

Federated learning & privacyimbalanced dataAI alignment (LLM)

Selected publications

Conditional Diffusion Models for Imbalanced Tabular RegressionUAI · 2026
Orchestrating Federated Tabular Synthesis at Scale with Fault-Tolerant Pipeline ExecutionNeurocomputing · 2026
Calibrated mixup for imbalanced regression on tabular dataPattern Recognition · 2025
Optimizing federated learning: Addressing key challenges in real-world applicationsIEEE Internet of Things Journal · 2025
Re-sampling calibrated SNN loss: A robust approach to non-IID data in federated learningExpert Systems · 2025
Online news-based economic sentiment indexIEEE Transactions on Big Data · 2024

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