Students

Taewook Kown

Dept. of Mathematics and Statistics
Research Area: Trustworthy AI
Research Topic: Trustworthy Evaluation of Classification Models with Rank Variability
Email: wook4620@gmail.com

Conference Paper

2026 KSS (Korean Statistical Society) Summer conference

1) Title: Similarity-Based Adaptive Friedman Test Reflecting Dataset Heterogeneity (Taewook Kwon*, Injun Park, Jin Hee Yoon)

2) Title: Variance-Based Weighted Friedman Test for Classification Models with Rank Variability (Injun Park*, Taewook Kwon, Jin Hee Yoon)

Injun Park

Dept. of Mathematics and Statistics
Research Area: Trustworthy AI
Research Topic: Reliable Performance Comparison under Ranking Uncertainty
Email: baginjun58@gmail.com

Conference Paper

2026 KSS (Korean Statistical Society) Summer conference

1) Title: Variance-Based Weighted Friedman Test for Classification Models with Rank Variability (Injun Park*, Taewook Kwon, Jin Hee Yoon)

2) Title: Similarity-Based Adaptive Friedman Test Reflecting Dataset Heterogeneity (Taewook Kwon*, Injun Park, Jin Hee Yoon)

Hyunseok Lee

Dept. of Data Science
Research Area: Robust & Reliable Data Science
Research Topic: Reliable Evaluation and Learning under Class Imbalance
Email: hslee901@gmail.com

Conference Paper

2025 KIIS (Korean Institutue of Intelligent Systems) Fall conference

1) Title: ε-Smoothed Adaptive Log Weighted Cross Entropy for Stable Class-Imbalanced Learning (Hyunseok Lee*, Seung Ho Go, Jin Hee Yoon)

2) Title: Logarithmic Scale Weighted Cross-Entropy for Class-Imbalanced Learning (Seung Ho Go*, Hyunseok Lee, Jin Hee Yoon) - Best Paper Award

2026 International Workshop on Advanced Neural Networks

3) Title: On Cross-Entropy under Class Imbalance: Stability and Weighting Perspectives (Hyunseok Lee*, Seung Ho Go, Jin Hee Yoon)

2026 KICS (The Korean Institute of Communications and Information Sciences) Summer conference

4Title: Logarithmic Scale Weighted Cross-Entropy for Class-Imbalanced Network Intrusion Detection (Seung Ho Go*, Hyunseok Lee, Jin Hee Yoon)

Jehui Kim

Dept. of Physics and Astronomy
Research Area: Foundational AI & Optimization
Research Topic: Learnable Polynomial Soft Gates for Adaptive Activation Functions
Email: rlawpgml04@gmail.com

Conference Paper

2026 KIIS (Korean Institutue of Intelligent Systems) Spring conference

1) Title: Learnable Polynomial Soft Gates for Adaptive Activation Functions (Jehui Kim*, Seung Yun Jeon, Jin Hee Yoon)

2) Title: Phase-Adaptive Soft Gate: A Non-Monotone Oscillatory Activation Function with Phase Responsiveness

(Seung Yun Jeon*, Jehui Kim, Jin Hee Yoon)

Youngbinn Lee

Dept. of Computer Science and Engineering
Research Area: Robust & Reliable Data Science
Research Topic: Robust Cross-Entropy Learning under Noisy and Outlier-Contaminated Data
Email: youngbinn5399@gmail.com
Currently serving in the ROK Air Force (~July, 2027)

Conference Paper

2025 ISIS (International Symposium on Advanced Intelligent Systems) conference

1) Title: Capped Cross-Entropy Loss for Robust Classification (Youngbinn Lee*, Junhyoung Joo, Sung-Kwun Oh, Jin Hee Yoon)

2) Title: Soft Probability Flooring for Stable Learning: Revisiting Cross-Entropy under outliers (Junhyoung Joo*, Youngbinn Lee, Sung-Kwun Oh, Jin Hee Yoon) - Best Presentation Award

2026 International Workshop on Advanced Neural Networks

3) Title: Robust Cross-Entropy under Outliers via Capping and Flooring (Junhyoung Joo*, Youngbinn Lee, Jin Hee Yoon)

Seung Yun Jeon

Dept. of Mechanical Engineering
Research Area: Foundational AI & Optimization
Research Topic: Phase-Adaptive Soft Gate Activation Functions for Stable and Expressive Deep Learning
Email: jacobjeon13@gmail.com

Conference Paper

2026 KIIS (Korean Institutue of Intelligent Systems) Spring conference

1) Title: Phase-Adaptive Soft Gate: A Non-Monotone Oscillatory Activation Function with Phase Responsiveness

(Seung Yun Jeon*, Jehui Kim, Jin Hee Yoon)

2) Title: Learnable Polynomial Soft Gates for Adaptive Activation Functions (Jehui Kim*, Seung Yun Jeon, Jin Hee Yoon)

Seung Ho Go

Dept. of Software
Research Area: Robust & Reliable Data Science / Foundational AI & Optimization
Research Topic:

- Design of Cross-Entropy for Class-Imbalanced Classification

- Topology-Aware Escape Mechanism for Global Optimization

Email: qaws4268@gmail.com

Conference Paper

2025 KIIS (Korean Institutue of Intelligent Systems) Fall conference

1) Title: Logarithmic Scale Weighted Cross-Entropy for Class-Imbalanced Learning (Seung Ho Go*, Hyunseok Lee, Jin Hee Yoon) - Best Paper Award

2) Title: ε-Smoothed Adaptive Log Weighted Cross Entropy for Stable Class-Imbalanced Learning (Hyunseok Lee, Seung Ho Go, Jin Hee Yoon)

2026 KICS (The Korean Institute of Communications and Information Sciences) Summer conference

3) Title: Logarithmic Scale Weighted Cross-Entropy for Class-Imbalanced Network Intrusion Detection (Seung Ho Go*, Jin Hee Yoon)

2026 International Workshop on Advanced Neural Networks

4) Title: On Cross-Entropy under Class Imbalance: Stability and Weighting Perspectives (Hyunseok Lee*, Seung Ho Go, Jin Hee Yoon)

Junhyoung Joo

Dept. of Computer Science and Engineering
Research Area: Robust & Reliable Data Science
Research Topic: Noise-Resilient Cross-Entropy with Controlled Sensitivity to Outliers
Email: danieljoo04@gmail.com
Currently serving in the ROK Air Force (~July, 2027)

Conference Paper

2025 ISIS (International Symposium on Advanced Intelligent Systems) conference

1) Title: Soft Probability Flooring for Stable Learning: Revisiting Cross-Entropy under outliers (Junhyoung Joo*, Youngbinn Lee, Sung-Kwun Oh, Jin Hee Yoon) - Best Presentation Award

2) Title: Capped Cross-Entropy Loss for Robust Classification (Youngbinn Lee*, Junhyoung Joo, Sung-Kwun Oh, Jin Hee Yoon)