Differential equation solution using numerical method and error minimization method of approximate solution (B.S. Thesis, 2014.12)

In this paper, I focus on the methodology that minimizes the error of the approximation error of the solution of the differential equation which plays an important role not only in computer engineering but also in engineering, physics and economics.

The online community based decision making support system for mitigating biased decision making (AIP Conference Proceedings, 2016.11)

I propose a decision support system that can support users' decision making by classifying the tendency (progress and remuneration) of opinion using opinion data of online group and classifying positive and negative by performing emotional analysis on opinion

Identifying the intent of documents by utilizing core passages extracted from short texts (M.S. Thesis, 2017.02)

I propose a method to calculate the similarity between documents based on extracting key phrases representing "intention" from short-length documents (eg, articles from microblogging services). This shows 80% performance improvement over the existing method. I have applied for a patent of this paper, and I am currently in the process of journalizing this paper.

DeepLearning :: Summary :: [link]

CNN-Architecture :: Summary :: [link]

Korea IT Business Promotion Association, 2013.12 ~ 2014.02

ICT Industry-University Cooperation Curriculum Hanwha S&C 

Completion of DB / Network course

Naver, 2017.05.26 ~ 2017.05.27

Naver Campus Hack Day - Perform for Keyword-analysis Project 

Selected as Excellent Participant

Naver Tech-talk, 2018.01.08

Medical AI Tutorial via LUNA16 :: [video] :: [slide]

NVIDIA AI Conference, 2018.11.07

Image-to-Image Translation :: [link] :: [slide]

Vector Similarity :: Java & Python :: [code]

Word2Vec :: Java :: [code]

TF-IDF:: Java :: [code]

Keyword Analysis :: Java :: [code]

Deep Convolutional Generative Adversarial Networks :: Tensorflow :: [code]

Learning to Discover Cross-Domain Relations with GAN :: Tensorflow :: [code] :: [slide]

Unpaired Image-to-Image Translation using Cycle-Consistent GAN :: Tensorflow :: [code]

Triple Generative Adversarial Nets :: Tensorflow :: [code]

Densely Connected Convolutional Networks :: Tensorflow :: [code]

Aggregated Residual Transformations for Deep Neural Networks :: Tensorflow :: [code]

Squeeze-and-Excitation Networks :: Tensorflow :: [code]

Network In Network :: Tensorflow :: [code]

Curriculum Adaptive Sampling for Extreme Data Imbalance :: Tensorflow :: [code] :: [presentation]

On the convergence of Adam and Beyond :: Tensorflow :: [code]

Unsupervised Image-to-Image Translation Networks  :: Tensorflow :: [code]

Stabilizing Adversarial Nets with Prediction Methods  :: Tensorflow :: [code]

Tensorflow DatasetAPI Tutorial  :: Tensorflow :: [code]

Image-to-Image Translation with Conditional Adversarial Networks  :: Tensorflow :: [code]

Group Normalization  :: Tensorflow :: [code]

Spectral Normalization for Generative Adversarial Networks  :: Tensorflow :: [code]

Multimodal Unsupervised Image-to-Image Translation  :: Tensorflow :: [code]

Self-Attention Generative Adversarial Networks  :: Tensorflow :: [code]

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation  :: Tensorflow :: [code]

Differentiable Learning-to-Normalize via Switchable Normalization  :: Tensorflow :: [code]

The relativistic discriminator: a key element missing from standard GAN  :: Tensorflow :: [code]

CartoonGAN: Generative Adversarial Networks for Photo Cartoonization  :: Tensorflow :: [code]

Generating a Fusion Image: One’s Identity and Another’s Shape  :: Tensorflow :: [code]

Identity Mappings in Deep Residual Networks  :: Tensorflow :: [code]

Diverse Image-to-Image Translation via Disentangled Representations  :: Tensorflow :: [code]

Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks  :: Tensorflow :: [code]

Partial Convolution based Padding  :: Tensorflow :: [code]

Large Scale GAN Training for High Fidelity Natural Image Synthesis :: Tensorflow :: [code]

Tensorflow Cookbook :: Tensorflow :: [code]

Adaptive Gradient Methods with Dynamic Bound of Learning Rate :: Tensorflow :: [code]