An Adaptive Differential Evolution Algorithm with Automatic Population Resizing for Global Numerical Optimization. - Tae Jong Choi; Chang Wook Ahn (BIC-TA, 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)

A Multi-agent System for Creating Art Based on Boids with Evolutionary and Neural Networks. - Tae Jong Choi; Jaehun Jeong; Chang Wook Ahn (BIC-TA (1), 2016)

Adaptive Cauchy Differential Evolution with Strategy Adaptation and Its Application to Training Large-Scale Artificial Neural Networks. - Tae Jong Choi; Chang Wook Ahn (BIC-TA, 2017)

Multi-objective evolutionary approach to select security solutions. - Yunghee Lee; Tae Jong Choi; Chang Wook Ahn (CAAI Trans. Intell. Technol., 2017)

Adaptive α-stable differential evolution in numerical optimization. - Tae Jong Choi; Chang Wook Ahn (Nat. Comput., 2017)

Erratum to: Adaptive α-stable differential evolution in numerical optimization. - Tae Jong Choi; Chang Wook Ahn (Nat. Comput., 2017)

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 (BIC-TA (2), 2018)

Accelerating differential evolution using multiple exponential cauchy mutation. - Tae Jong Choi; Chang Wook Ahn (GECCO (Companion), 2018)

Asynchronous Differential Evolution with Strategy Adaptation for Global Numerical Optimization. - Tae Jong Choi; Yeonju Lee (HPCCT, 2018)

Autoencoder and Evolutionary Algorithm for Level Generation in Lode Runner. - Sarjak Thakkar; Changxing Cao; Lifan Wang; Tae Jong Choi; Julian Togelius (CoG, 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)

Adaptive Differential Evolution with Elite Opposition-Based Learning and its Application to Training Artificial Neural Networks. - Tae Jong Choi; Jong-Hyun Lee 003; Hee Yong Youn; Chang Wook Ahn (Fundam. Informaticae, 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)

Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization. - Tae Jong Choi; Julian Togelius; Yun-Gyung Cheong (IEEE Access, 2020)

Self-referential quality diversity through differential MAP-Elites. - Tae Jong Choi; Julian Togelius (GECCO, 2021)

Deep Correlation Multimodal Neural Style Transfer. - Nguyen Quang Tuyen; Son Truong Nguyen; Tae Jong Choi; Vinh Quang Dinh (IEEE Access, 2021)

An improved LSHADE-RSP algorithm with the Cauchy perturbation: iLSHADE-RSP. - Tae Jong Choi; Chang Wook Ahn (Knowl. Based Syst., 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)

StereoPairFree: Self-Constructed Stereo Correspondence Network From Natural Images. - Vinh Quang Dinh; Tae Jong Choi (IEEE Intell. Syst., 2023)

A rotationally invariant stochastic opposition-based learning using a beta distribution in differential evolution. - Tae Jong Choi (Expert Syst. Appl., 2023)

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 (CVPR, 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)

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)

Adaptive search space for stochastic opposition-based learning in differential evolution. - Tae Jong Choi; Nikhil Pachauri (Knowl. Based Syst., 2024)

HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation. - Ba Hung Ngo; Doanh C. Bui; Nhat-Tuong Do-Tran; Tae Jong Choi (AAAI, 2025)

How to enrich cross-domain representations? Data augmentation, cycle-pseudo labeling, and category-aware graph learning. - Ba Hung Ngo; Doanh C. Bui; Tae Jong Choi (Expert Syst. Appl., 2025)

CLEAR: Cross-Transformers With Pre-Trained Language Model for Person Attribute Recognition and Retrieval. - Doanh C. Bui; Thinh V. Le; Ba Hung Ngo; Tae Jong Choi (Pattern Recognit., 2025)