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ORCIDTae Jong Choi
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2020 – today
- 2024
[j14]Ba Hung Ngo
, Ba Thinh Lam, Thanh-Huy Nguyen, Quang Vinh Dinh, Tae Jong Choi:
Dual Dynamic Consistency Regularization for Semi-Supervised Domain Adaptation. IEEE Access 12: 36267-36279 (2024)- [j13]Tae Jong Choi, Nikhil Pachauri:
Adaptive search space for stochastic opposition-based learning in differential evolution. Knowl. Based Syst. 300: 112172 (2024) - [c9]Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, Tae Jong Choi:
Learning CNN on ViT: A Hybrid Model to Explicitly Class-Specific Boundaries for Domain Adaptation. CVPR 2024: 28545-28554 - [i6]Doanh C. Bui, Thinh V. Le, Hung Ba Ngo, Tae Jong Choi:
CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval. CoRR abs/2403.06119 (2024) - [i5]Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen, Hae-Gon Jeon, Tae Jong Choi:
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation. CoRR abs/2403.18360 (2024) - 2023
- [j12]Tae Jong Choi:
A rotationally invariant stochastic opposition-based learning using a beta distribution in differential evolution. Expert Syst. Appl. 231: 120658 (2023) - [j11]Vinh Quang Dinh, Tae Jong Choi:
StereoPairFree: Self-Constructed Stereo Correspondence Network From Natural Images. IEEE Intell. Syst. 38(1): 19-33 (2023) - 2021
- [j10]Nguyen Quang Tuyen, Son Truong Nguyen, Tae Jong Choi, Vinh Quang Dinh:
Deep Correlation Multimodal Neural Style Transfer. IEEE Access 9: 141329-141338 (2021) - [j9]Tae Jong Choi, Chang Wook Ahn:
An improved LSHADE-RSP algorithm with the Cauchy perturbation: iLSHADE-RSP. Knowl. Based Syst. 215: 106628 (2021) - [j8]Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong:
A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization. Swarm Evol. Comput. 60: 100768 (2021) - [c8]Tae Jong Choi, Julian Togelius:
Self-referential quality diversity through differential MAP-Elites. GECCO 2021: 502-509 - [i4]Tae Jong Choi, Julian Togelius:
Self-Referential Quality Diversity Through Differential Map-Elites. CoRR abs/2107.04964 (2021) - 2020
- [j7]Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong:
Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization. IEEE Access 8: 8720-8734 (2020) - [i3]Tae Jong Choi, Chang Wook Ahn:
An Improved LSHADE-RSP Algorithm with the Cauchy Perturbation: iLSHADE-RSP. CoRR abs/2006.02591 (2020)
2010 – 2019
- 2019
- [j6]Tae Jong Choi, Jong-Hyun Lee, Hee Yong Youn, Chang Wook Ahn:
Adaptive Differential Evolution with Elite Opposition-Based Learning and its Application to Training Artificial Neural Networks. Fundam. Informaticae 164(2-3): 227-242 (2019) - [j5]Tae Jong Choi, Chang Wook Ahn:
Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks. Swarm Evol. Comput. 47: 80-88 (2019) - [c7]Sarjak Thakkar, Changxing Cao, Lifan Wang, Tae Jong Choi, Julian Togelius:
Autoencoder and Evolutionary Algorithm for Level Generation in Lode Runner. CoG 2019: 1-4 - [i2]Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong:
ACM-DE: Adaptive p-best Cauchy Mutation with linear failure threshold reduction for Differential Evolution in numerical optimization. CoRR abs/1907.01095 (2019) - [i1]Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong:
A Fast and Efficient Stochastic Opposition-Based Learning for Differential Evolution in Numerical Optimization. CoRR abs/1908.08011 (2019) - 2018
- [c6]Tae Jong Choi, Yun-Gyung Cheong, Chang Wook Ahn:
A Performance Comparison of Crossover Variations in Differential Evolution for Training Multi-layer Perceptron Neural Networks. BIC-TA (2) 2018: 477-488 - [c5]Tae Jong Choi, Chang Wook Ahn:
Accelerating differential evolution using multiple exponential cauchy mutation. GECCO (Companion) 2018: 207-208 - [c4]Tae Jong Choi, Yeonju Lee:
Asynchronous Differential Evolution with Strategy Adaptation for Global Numerical Optimization. HPCCT 2018: 15-18 - 2017
- [j4]Yunghee Lee, Tae Jong Choi, Chang Wook Ahn:
Multi-objective evolutionary approach to select security solutions. CAAI Trans. Intell. Technol. 2(2): 64-67 (2017) - [j3]Tae Jong Choi, Chang Wook Ahn:
Adaptive α-stable differential evolution in numerical optimization. Nat. Comput. 16(4): 637-657 (2017) - [j2]Tae Jong Choi, Chang Wook Ahn:
Erratum to: Adaptive α-stable differential evolution in numerical optimization. Nat. Comput. 16(4): 659 (2017) - [c3]Tae Jong Choi, Chang Wook Ahn:
Adaptive Cauchy Differential Evolution with Strategy Adaptation and Its Application to Training Large-Scale Artificial Neural Networks. BIC-TA 2017: 502-510 - 2016
- [c2]Tae Jong Choi, Jaehun Jeong, Chang Wook Ahn:
A Multi-agent System for Creating Art Based on Boids with Evolutionary and Neural Networks. BIC-TA (1) 2016: 518-523 - 2014
- [j1]Tae Jong Choi, Chang Wook Ahn:
An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization. J. Comput. 9(9): 2139-2145 (2014) - [c1]Tae Jong Choi, Chang Wook Ahn:
An Adaptive Differential Evolution Algorithm with Automatic Population Resizing for Global Numerical Optimization. BIC-TA 2014: 68-72
Coauthor Index
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