[j28] Tae Jong Choi and Yeji An*, "A rank-conditioned α-stable perturbation for differential evolution: Separating perturbation frequency and tail heaviness." PLOS ONE. In press. (JCR IF = 2.8)

[j27] Ngo-Kien Duong, Doanh C. Bui, Ba Hung Ngo, and Tae Jong Choi*, "RealDA: Bridging the domain gap with realistic synthesized images for unsupervised domain adaptation." ICT Express. In press. (JCR IF = 4.6)

[j26] Ngoc Ly Tran, Thi Thu Thuy Nguyen, Ba Hung Ngo, and Tae Jong Choi*, "DynU-Net: Dynamic Uncertainty-Aware Multi-task U-Net for Joint Lesion Segmentation and Classification in Medical Imaging." Journal of Computational Design and Engineering. In press. (JCR IF = 6.8)

[j25] Ba Hung Ngo, Tiem Nguyen Van, and Tae Jong Choi*, "LoRaFusion: High-Precision LoRaWAN Localization in Harbors Using Multi-Gateway Fusion Temporal and Noise-Aware Features." Ad Hoc Networks. In press. (JCR IF = 4.8)

[j24] Ji Eun Park and Tae Jong Choi*, "3-D Relational Learning in Tabular Data: A Dual-Graph Attention Approach." IEEE Access 14 (2026): 23395-23412. (JCR IF = 3.6)

[j23] Tae Jong Choi and Yeji An*, "Adaptive dimension-wise Cauchy perturbation for enhanced differential evolution optimization." AIMS Mathematics 11.1 (2026): 734-766. (JCR IF = 1.8)

[j22] Ba Hung Ngo, Tae Jong Choi*, and Sung In Cho*, "Towards Enhancing Prototypes Driven by Graph Convolutional Network for Domain Adaptation." Expert Systems with Applications 299 (2026): 130010. (JCR IF = 7.5)

[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 (2023): 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): 5348203. (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): 969734. (JCR IF = 1.219)

[c21] Ji Eun Park and Tae Jong Choi*, "Relational-View Ensemble Learning for Tabular Prediction." 35th ACM International Conference on Information and Knowledge Management (CIKM, short paper) 2026. (Computer Science 분야 우수국제학술대회)

[c20] Thi Thu Thuy Nguyen, Ba Hung Ngo, and Tae Jong Choi*, "A Comprehensive Survey of AI in Credit Risk Management." The 10th Asian Quantitative Finance Conference (AQFC) 2026.

[c19] Thanh Tam Tran, Ba Hung Ngo, Thu Thuan Pham, and Tae Jong Choi*, "Adaptive Multi-Level Attention for Effective Cross-Domain Brain Tumor Detection." The 14th International Symposium on Information and Communication Technology (SOICT) 2025.

[c18] Thanh-Tam Tran, Bao V. Q. Bui, Ba Hung Ngo, and Tae Jong Choi*, "Practical Challenges in Applying YOLO Models to Medical Imaging: A Comprehensive Study." International Conference on Explainable Intelligence in Digital Twins (EIDT) 2025.

[c17] Thanh Lich Nguyen*, Tiem Nguyen Van, Van Trang Phung, Ba Hung Ngo, and Tae Jong Choi, "Explainable Intelligence for Bearing Fault Diagnosis in Industrial Predictive Maintenance." International Conference on Explainable Intelligence in Digital Twins (EIDT) 2025.

[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 Advances in Information Technology (ICAIT) 2013.