[j21] Ba Hung Ngo and Tae Jong Choi*, "Cross-domain knowledge distillation for domain adaptation with GCN-driven MLP generalization." Applied Soft Computing 184 (2025): 113771. (JCR IF = 6.6)

[j20] Doanh C. Bui, Thinh V. Le, Ba Hung Ngo, and Tae Jong Choi*, "CLEAR: Cross-Transformers with Pre-trained Language Model for Person Attribute Recognition and Retrieval." Pattern Recognition 164 (2025): 111486. (JCR IF = 7.5)

[j19] Ba Hung Ngo, Doanh C. Bui, and Tae Jong Choi*, "How to Enrich Cross-domain Representations? Data Augmentation, Cycle-pseudo Labeling, and Category-aware Graph Learning." Expert Systems With Applications 271 (2025): 126594. (JCR IF = 7.5)

[j18] Tae Jong Choi*, "An efficient eigenvector-based crossover for differential evolution: Simplifying with rank-one updates." AIMS Mathematics 10.2 (2025): 3500-3522. (JCR IF = 1.8)

[j17] Nikhil Pachauri, Chang Wook Ahn*, and Tae Jong Choi*, "Biochar energy prediction from different biomass feedstocks for clean energy generation." Environmental Technology & Innovation 37 (2025): 104012. (JCR IF = 6.7)

[j16] Tae Jong Choi and Nikhil Pachauri*, "Adaptive Search Space for Stochastic Opposition-Based Learning in Differential Evolution." Knowledge-Based Systems 300 (2024): 112172. (JCR IF = 8.8)

[j15] Ba Hung Ngo, Ba Thinh Lam, Thanh Huy Nguyen, Quang Vinh Dinh, and Tae Jong Choi*, "Dual Dynamic Consistency Regularization for Semi-supervised Domain Adaptation." IEEE Access 12 (2024): 36267-36279. (JCR IF = 3.9)

[j14] Nikhil Pachauri, Chang Wook Ahn*, and Tae Jong Choi*, "A blended ensemble model for biomass HHV prediction from ultimate analysis." Fuel 357 (2024): 129898. (JCR IF = 7.4)

[j13] Tae Jong Choi*, "A Rotationally Invariant Stochastic Opposition-Based Learning Using a Beta Distribution in Differential Evolution." Expert Systems With Applications 231 (2023): 120658. (JCR IF = 8.665)

[j12] Vinh Quang Dinh and Tae Jong Choi*, "StereoPairFree: Self-Constructed Stereo Correspondence Network From Natural Images." IEEE Intelligent Systems 38.1 (2022): 19-33. (JCR IF = 6.744)

[j11] Nguyen Quang Tuyen, Son Truong Nguyen, Tae Jong Choi, and Vinh Quang Dinh*, "Deep Correlation Multimodal Neural Style Transfer." IEEE Access 9 (2021): 141329-141338. (JCR IF = 3.476)

[j10] Tae Jong Choi and Chang Wook Ahn*, "An Improved LSHADE-RSP Algorithm with the Cauchy Perturbation: iLSHADE-RSP." Knowledge-Based Systems 215 (2021): 106628. (JCR IF = 8.139)

[j9] Tae Jong Choi, Julian Togelius, and Yun-Gyung Cheong*. "A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization." Swarm and Evolutionary Computation 60 (2021): 100768. (JCR IF = 10.267)

[j8] Tae Jong Choi, Julian Togelius, and Yun-Gyung Cheong*. "Advanced cauchy mutation for differential evolution in numerical optimization." IEEE Access 8 (2020): 8720-8734. (JCR IF = 3.476)

[j7] Tae Jong Choi and Chang Wook Ahn*, "Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks." Swarm and Evolutionary Computation 47 (2019): 80-88. (JCR IF = 6.912)

[j6] Tae Jong Choi, Jong-Hyun Lee, Hee Yong Youn, and Chang Wook Ahn*. "Adaptive Differential Evolution with Elite Opposition-Based Learning and its Application to Training Artificial Neural Networks." Fundamenta Informaticae 164.2-3 (2019): 227-242. (JCR IF = 1.298)

[j5] Tae Jong Choi and Chang Wook Ahn*, "Adaptive α-stable differential evolution in numerical optimization." Natural Computing 16.4 (2017): 637-657. (JCR IF = 0.860)

[j4] Yunghee Lee, Tae Jong Choi, and Chang Wook Ahn*, "Multi-objective evolutionary approach to select security solutions." CAAI Transactions on Intelligence Technology 2.2 (2017): 64-67. (JCR IF = 7.985)

[j3] Ruchi Sachan, Tae Jong Choi, and Chang Wook Ahn*. "A genetic algorithm with location intelligence method for energy optimization in 5G wireless networks." Discrete Dynamics in Nature and Society 2016 (2016). (JCR IF = 0.711)

[j2] Tae Jong Choi and Chang Wook Ahn*, "An adaptive population resizing scheme for differential evolution in numerical optimization." Journal of Computational and Theoretical Nanoscience 12.7 (2015): 1336-1350. (JCR IF = 1.666)

[j1] Tae Jong Choi, Chang Wook Ahn*, and Jinung An. "An adaptive Cauchy differential evolution algorithm for global numerical optimization." Scientific World Journal 2013 (2013). (JCR IF = 1.219)

[c16] Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran, and Tae Jong Choi*. "HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation." The 39th Annual AAAI Conference on Artificial Intelligence (AAAI) 2025. (Computer Science 분야 우수국제학술대회)

[c15] Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, and Tae Jong Choi*. "Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024. (Computer Science 분야 우수국제학술대회)

[c14] Tae Jong Choi and Julian Togelius*. "Self-Referential Quality Diversity Through Differential Map-Elites." Genetic and Evolutionary Computation Conference Companion (GECCO) 2021. (Computer Science 분야 우수국제학술대회)

[c13] Sarjak Thakkar, Changxing Cao, Lifan Wang, Tae Jong Choi, and Julian Togelius. "Autoencoder and Evolutionary Algorithm for Level Generation in Lode Runner." IEEE Conference on Games (CoG) 2019.

[c12] Tae Jong Choi and Yeonju Lee*. "Asynchronous differential evolution with self-adaptive parameter control for global numerical optimization." International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT) 2018.

[c11] Tae Jong Choi, Yun-Gyung Cheong, and Chang Wook Ahn*. "A Performance Comparison of Crossover Variations in Differential Evolution for Training Multi-layer Perceptron Neural Networks." International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) 2018.

[c10] Tae Jong Choi and Chang Wook Ahn*, "Accelerating differential evolution using multiple exponential cauchy mutation." Genetic and Evolutionary Computation Conference Companion (GECCO) 2018. (Computer Science 분야 우수국제학술대회)

[c9] Tae Jong Choi and Yeonju Lee*. "Asynchronous differential evolution with strategy adaptation for global numerical optimization." High Performance Computing and Cluster Technologies Conference (HPCCT) 2018.

[c8] Tae Jong Choi and Chang Wook Ahn*, "Adaptive Cauchy differential evolution with strategy adaptation and its application to training large-scale artificial neural networks." International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) 2017.

[c7] Tae Jong Choi and Chang Wook Ahn*, "An Improved Differential Evolution Algorithm and Its Application to Large-Scale Artificial Neural Networks." International Conference on Control Engineering and Artificial Intelligence (CCEAI) 2017.

[c6] Tae Jong Choi, Jaehun Jeong, and Chang Wook Ahn*. "A Multi-agent System for Creating Art Based on Boids with Evolutionary and Neural Networks." International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) 2016.

[c5] Tae Jong Choi and Chang Wook Ahn*, "A Swarm Art Based on Evolvable Boids with Genetic Programming." International Conference on Intelligent and Automation Systems (ICIAS) 2016.

[c4] Tae Jong Choi and Chang Wook Ahn*, "An adaptive cauchy differential evolution algorithm with population size reduction and modified multiple mutation strategies." Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES) 2014.

[c3] Tae Jong Choi and Chang Wook Ahn*, "An adaptive differential evolution algorithm with automatic population resizing for global numerical optimization." International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) 2014.

[c2] Tae Jong Choi and Chang Wook Ahn*, "An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization." International Conference on Information Technology and Science (ICITS) 2014.

[c1] Tae Jong Choi and Chang Wook Ahn*, "An Adaptive Cauchy Differential Evolution Algorithm with Strategy Adaptation for Global Numerical Optimization." International Conference on Advanced in Information Technology (ICAIT) 2013.