Tae Jong Choi

According to our database, Tae Jong Choi authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation.

Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, Tae Jong Choi

CoRR, 2024

CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval.

Doanh C. Bui, Thinh V. Le, Hung Ba Ngo, Tae Jong Choi

CoRR, 2024

Dual Dynamic Consistency Regularization for Semi-Supervised Domain Adaptation.

Ba Hung Ngo, Ba Thinh Lam, Thanh-Huy Nguyen, Quang Vinh Dinh, Tae Jong Choi

IEEE Access, 2024

2023

A rotationally invariant stochastic opposition-based learning using a beta distribution in differential evolution.

Tae Jong Choi

Expert Syst. Appl., November, 2023

StereoPairFree: Self-Constructed Stereo Correspondence Network From Natural Images.

Vinh Quang Dinh, Tae Jong Choi

IEEE Intell. Syst., 2023

2021

A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization.

Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong

Swarm Evol. Comput., 2021

An improved LSHADE-RSP algorithm with the Cauchy perturbation: iLSHADE-RSP.

Tae Jong Choi, Chang Wook Ahn

Knowl. Based Syst., 2021

Deep Correlation Multimodal Neural Style Transfer.

Nguyen Quang Tuyen, Son Truong Nguyen, Tae Jong Choi, Vinh Quang Dinh

IEEE Access, 2021

Self-referential quality diversity through differential MAP-Elites.

Tae Jong Choi, Julian Togelius

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization.

Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong

IEEE Access, 2020

2019

Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks.

Tae Jong Choi, Chang Wook Ahn

Swarm Evol. Comput., 2019

Adaptive Differential Evolution with Elite Opposition-Based Learning and its Application to Training Artificial Neural Networks.

Tae Jong Choi, Jong-Hyun Lee, Hee Yong Youn, Chang Wook Ahn

Fundam. Informaticae, 2019

ACM-DE: Adaptive p-best Cauchy Mutation with linear failure threshold reduction for Differential Evolution in numerical optimization.

Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong

CoRR, 2019

Autoencoder and Evolutionary Algorithm for Level Generation in Lode Runner.

Sarjak Thakkar, Changxing Cao, Lifan Wang, Tae Jong Choi, Julian Togelius

Proceedings of the IEEE Conference on Games, 2019

2018

Asynchronous Differential Evolution with Strategy Adaptation for Global Numerical Optimization.

Tae Jong Choi, Yeonju Lee

Proceedings of the 2nd High Performance Computing and Cluster Technologies Conference, 2018

Accelerating differential evolution using multiple exponential cauchy mutation.

Tae Jong Choi, Chang Wook Ahn

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A Performance Comparison of Crossover Variations in Differential Evolution for Training Multi-layer Perceptron Neural Networks.

Tae Jong Choi, Yun-Gyung Cheong, Chang Wook Ahn

Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

2017

Erratum to: Adaptive α-stable differential evolution in numerical optimization.

Tae Jong Choi, Chang Wook Ahn

Nat. Comput., 2017

Adaptive α-stable differential evolution in numerical optimization.

Tae Jong Choi, Chang Wook Ahn

Nat. Comput., 2017

Multi-objective evolutionary approach to select security solutions.

Yunghee Lee, Tae Jong Choi, Chang Wook Ahn

CAAI Trans. Intell. Technol., 2017

Adaptive Cauchy Differential Evolution with Strategy Adaptation and Its Application to Training Large-Scale Artificial Neural Networks.

Tae Jong Choi, Chang Wook Ahn

Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016

A Multi-agent System for Creating Art Based on Boids with Evolutionary and Neural Networks.

Tae Jong Choi, Jaehun Jeong, Chang Wook Ahn

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2014

An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization.

Tae Jong Choi, Chang Wook Ahn

J. Comput., 2014

An Adaptive Differential Evolution Algorithm with Automatic Population Resizing for Global Numerical Optimization.

Tae Jong Choi, Chang Wook Ahn

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014