Minhyeok Lee

Assistant Professor

Chung-Ang University

South Korea

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About

Minhyeok Lee is an Assistant Professor at Chung-Ang University, South Korea. His research interests encompass artificial intelligence, mathematical frameworks in AI, and the analysis of fractals. Recent publications include investigations into cultural complexity during the foraging era, self-identity emergence in AI, and advanced deep learning applications in medical image classification.

Articles (18)

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2025

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2023

Collaborators (2)

Cheol-Ho Hong

Chung-Ang University

SOUTH KOREA

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Youngpil Kim

Assistant Professor

Incheon National University

SOUTH KOREA

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Minhyeok Lee

Research Interests

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About

Articles (18)

Does Low Spoilage Under Cold Conditions Foster Cultural Complexity During the Foraging Era?—Agent-Based Modeling and Reinforcement-Learning Approach

Emergence of Self-Identity in Artificial Intelligence: A Mathematical Framework and Empirical Study with Generative Large Language Models

Box-Counting Dimension Sequences of Level Sets in AI-Generated Fractals

Persistent Homology Analysis of AI-Generated Fractal Patterns: A Mathematical Framework for Evaluating Geometric Authenticity

Fractal Analysis of GPT-2 Token Embedding Spaces: Stability and Evolution of Correlation Dimension

Fractal Self-Similarity in Semantic Convergence: Gradient of Embedding Similarity across Transformer Layers

Deep Transfer Learning Using Real-World Image Features for Medical Image Classification, with a Case Study on Pneumonia X-ray Images

Deep learning model with L1 penalty for predicting breast cancer metastasis using gene expression data

ICEGAN: inverse covariance estimating generative adversarial network

ICEGAN: Inverse covariance estimating generative adversarial network

Deep Learning Techniques with Genomic Data in Cancer Prognosis: A Comprehensive Review of the 2021–2023 Literature

SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains

SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains

Heterogeneous Structure Omnidirectional Strain Sensor Arrays With Cognitively Learned Neural Networks

Heterogeneous Structure Omnidirectional Strain Sensor Arrays With Cognitively Learned Neural Networks

A Mathematical Interpretation of Autoregressive Generative Pre-Trained Transformer and Self-Supervised Learning

A Mathematical Investigation of Hallucination and Creativity in GPT Models

BioEdge: Accelerating Object Detection in Bioimages with Edge-Based Distributed Inference

Collaborators (2)

Cheol-Ho Hong

Youngpil Kim

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