Tae Jong Choi

36 papers A* 2A 1C 1Journal 26Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
3-D Relational Learning in Tabular Data: A Dual-Graph Attention Approach.
IEEE Access
Ji Eun Park, Tae Jong Choi
2026 J jnl
Towards enhancing prototypes driven by graph convolutional network for domain adaptation.
Expert Syst. Appl.
Ba Hung Ngo, Tae Jong Choi, Sung In Cho
2025 J jnl
CLEAR: Cross-Transformers With Pre-Trained Language Model for Person Attribute Recognition and Retrieval.
Pattern Recognit.
Doanh C. Bui, Thinh V. Le, Ba Hung Ngo, Tae Jong Choi
2025 J jnl
Cross-domain knowledge distillation for domain adaptation with GCN-driven MLP generalization.
Appl. Soft Comput.
Ba Hung Ngo, Tae Jong Choi
2025 A* conf
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation.
AAAI
Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran, Tae Jong Choi
2025 J jnl
How to enrich cross-domain representations? Data augmentation, cycle-pseudo labeling, and category-aware graph learning.
Expert Syst. Appl.
Ba Hung Ngo, Doanh C. Bui, Tae Jong Choi
2024 J jnl
Adaptive search space for stochastic opposition-based learning in differential evolution.
Knowl. Based Syst.
Tae Jong Choi, Nikhil Pachauri
2024 J jnl
CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval.
CoRR
Doanh C. Bui, Thinh V. Le, Hung Ba Ngo, Tae Jong Choi
2024 J jnl
Dual Dynamic Consistency Regularization for Semi-Supervised Domain Adaptation.
IEEE Access
Ba Hung Ngo, Ba Thinh Lam, Thanh-Huy Nguyen, Quang Vinh Dinh, Tae Jong Choi
2024 J jnl
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation.
CoRR
Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran, Tae Jong Choi
2024 A* conf
Learning CNN on ViT: A Hybrid Model to Explicitly Class-Specific Boundaries for Domain Adaptation.
CVPR
Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, Tae Jong Choi
2024 J jnl
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation.
CoRR
Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, Tae Jong Choi
2023 J jnl
A rotationally invariant stochastic opposition-based learning using a beta distribution in differential evolution.
Expert Syst. Appl.
Tae Jong Choi
2023 J jnl
StereoPairFree: Self-Constructed Stereo Correspondence Network From Natural Images.
IEEE Intell. Syst.
Vinh Quang Dinh, Tae Jong Choi
2021 J jnl
A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization.
Swarm Evol. Comput.
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
2021 J jnl
An improved LSHADE-RSP algorithm with the Cauchy perturbation: iLSHADE-RSP.
Knowl. Based Syst.
Tae Jong Choi, Chang Wook Ahn
2021 J jnl
Deep Correlation Multimodal Neural Style Transfer.
IEEE Access
Nguyen Quang Tuyen, Son Truong Nguyen, Tae Jong Choi, Vinh Quang Dinh
2021 J jnl
Self-Referential Quality Diversity Through Differential Map-Elites.
CoRR
Tae Jong Choi, Julian Togelius
2021 A conf
Self-referential quality diversity through differential MAP-Elites.
GECCO
Tae Jong Choi, Julian Togelius
2020 J jnl
Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization.
IEEE Access
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
2020 J jnl
An Improved LSHADE-RSP Algorithm with the Cauchy Perturbation: iLSHADE-RSP.
CoRR
Tae Jong Choi, Chang Wook Ahn
2019 J jnl
A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization.
CoRR
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
2019 J jnl
ACM-DE: Adaptive p-best Cauchy Mutation with linear failure threshold reduction for Differential Evolution in numerical optimization.
CoRR
Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong
2019 J jnl
Adaptive Differential Evolution with Elite Opposition-Based Learning and its Application to Training Artificial Neural Networks.
Fundam. Informaticae
Tae Jong Choi, Jong-Hyun Lee, Hee Yong Youn, Chang Wook Ahn
2019 J jnl
Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks.
Swarm Evol. Comput.
Tae Jong Choi, Chang Wook Ahn
2019 C conf
Autoencoder and Evolutionary Algorithm for Level Generation in Lode Runner.
CoG
Sarjak Thakkar, Changxing Cao, Lifan Wang, Tae Jong Choi, Julian Togelius
2018 — conf
A Performance Comparison of Crossover Variations in Differential Evolution for Training Multi-layer Perceptron Neural Networks.
BIC-TA (2)
Tae Jong Choi, Yun-Gyung Cheong, Chang Wook Ahn
2018 — conf
Accelerating differential evolution using multiple exponential cauchy mutation.
GECCO (Companion)
Tae Jong Choi, Chang Wook Ahn
2018 — conf
Asynchronous Differential Evolution with Strategy Adaptation for Global Numerical Optimization.
HPCCT
Tae Jong Choi, Yeonju Lee
2017 — conf
Adaptive Cauchy Differential Evolution with Strategy Adaptation and Its Application to Training Large-Scale Artificial Neural Networks.
BIC-TA
Tae Jong Choi, Chang Wook Ahn
2017 J jnl
Adaptive α-stable differential evolution in numerical optimization.
Nat. Comput.
Tae Jong Choi, Chang Wook Ahn
2017 J jnl
Erratum to: Adaptive α-stable differential evolution in numerical optimization.
Nat. Comput.
Tae Jong Choi, Chang Wook Ahn
2017 J jnl
Multi-objective evolutionary approach to select security solutions.
CAAI Trans. Intell. Technol.
Yunghee Lee, Tae Jong Choi, Chang Wook Ahn
2016 — conf
A Multi-agent System for Creating Art Based on Boids with Evolutionary and Neural Networks.
BIC-TA (1)
Tae Jong Choi, Jaehun Jeong, Chang Wook Ahn
2014 J jnl
An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization.
J. Comput.
Tae Jong Choi, Chang Wook Ahn
2014 — conf
An Adaptive Differential Evolution Algorithm with Automatic Population Resizing for Global Numerical Optimization.
BIC-TA
Tae Jong Choi, Chang Wook Ahn