Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees. - Kangil Kim; Robert Ian (Bob) McKay; Dharani Punithan (PRICAI, 2010)

An XML Format for Sharing Evolutionary Algorithm Output and Analysis. - Dharani Punithan; Jerome Marhic; Kangil Kim; Jakramate Bootkrajang; Robert Ian (Bob) McKay; Naoki Mori (SEAL, 2010)

Operator Self-adaptation in Genetic Programming. - Minhyeok Kim 001; Robert Ian (Bob) McKay; Nguyen Xuan Hoai; Kangil Kim (EuroGP, 2011)

Structural difficulty in estimation of distribution genetic programming. - Kangil Kim; Minhyeok Kim 001; Bob McKay (GECCO, 2011)

Investigating vesicular selection: A selection operator in in vitro evolution. - Yun-Geun Lee; Bob McKay; Kangil Kim; Dong-Kyun Kim; Nguyen Xuan Hoai (Appl. Soft Comput., 2011)

Implicit bias and recursive grammar structures in estimation of distribution genetic programming. - Kangil Kim; Nguyen Xuan Hoai; Bob McKay (IEEE Congress on Evolutionary Computation, 2012)

Analysing the Effects of Diverse Operators in a Genetic Programming System. - Minhyeok Kim 001; Bob McKay; Kangil Kim; Xuan Hoai Nguyen (PPSN (1), 2012)

Erratum to 'Investigating vesicular selection: A selection operator in in-vitro evolution' [Applied Soft Computing 11/8 (2012) [5528-5550]. - Yun-Geun Lee; Bob McKay; Kangil Kim; Dong-Kyun Kim; Nguyen Xuan Hoai (Appl. Soft Comput., 2012)

Cutting evaluation costs: An investigation into early termination in genetic programming. - Namyong Park; Kangil Kim; Robert I. McKay (IEEE Congress on Evolutionary Computation, 2013)

Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming. - Kangil Kim; Robert I. McKay (IEEE Trans. Evol. Comput., 2013)

Probabilistic model building in genetic programming: a critical review. - Kangil Kim; Yin Shan; Xuan Hoai Nguyen; Robert I. McKay (Genet. Program. Evolvable Mach., 2014)

Recursion-Based Biases in Stochastic Grammar Model Genetic Programming. - Kangil Kim; Robert I. McKay; Nguyen Xuan Hoai (IEEE Trans. Evol. Comput., 2016)

Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning. - Kangil Kim (ICMLA, 2017)

Concept Equalization to Guide Correct Training of Neural Machine Translation. - Kangil Kim; Jong-Hun Shin; Seung-Hoon Na; Sangkeun Jung (IJCNLP(2), 2017)

Divergence-based fine pruning of phrase-based statistical translation model. - Kangil Kim; Eun-Jin Park; Jong-Hun Shin; Oh-Woog Kwon; Young Kil Kim (Comput. Speech Lang., 2017)

Center-shared sliding ensemble of neural networks for syntax analysis of natural language. - Kangil Kim; Yun Jin; Seung-Hoon Na; Young-Kil Kim (Expert Syst. Appl., 2017)

Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network. - Kangil Kim; Dong-Kyun Kim; Junhyug Noh; Minhyeok Kim 001 (IEEE Access, 2018)

Conflict Relaxation of Activation-Based Regularization for Neural Network. - Kangil Kim; Junhyug Noh; Dong-Kyun Kim; Minhyeok Kim 001 (IEEE Access, 2018)

Verbosity normalized pseudo-relevance feedback in information retrieval. - Seung-Hoon Na; Kangil Kim (Inf. Process. Manag., 2018)

Improving LSTM CRFs using character-based compositions for Korean named entity recognition. - Seung-Hoon Na; Hyun Kim 003; Jinwoo Min; Kangil Kim (Comput. Speech Lang., 2019)

Transition-Based Korean Dependency Parsing Using Hybrid Word Representations of Syllables and Morphemes with LSTMs. - Seung-Hoon Na; Jianri Li; Jong-hoon Shin; Kangil Kim (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipment. - Ohyung Kwon; Nayeon Lee; Kangil Kim (IEEE BigData, 2020)

A Convolutional Neural Network for Prediction of Laser Power Using Melt-Pool Images in Laser Powder Bed Fusion. - Ohyung Kwon; Hyung-Giun Kim; Wonrae Kim; Gun-Hee Kim; Kangil Kim (IEEE Access, 2020)

A deep neural network for classification of melt-pool images in metal additive manufacturing. - Ohyung Kwon; Hyung-Giun Kim; Min Ji Ham; Wonrae Kim; Gun-Hee Kim; Jae-Hyung Cho; Nam-Il Kim; Kangil Kim (J. Intell. Manuf., 2020)

What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection. - Sangmin Woo; Junhyug Noh; Kangil Kim (CoRR, 2021)

Learning from Matured Dumb Teacher for Fine Generalization. - HeeSeung Jung; Kangil Kim; Hoyong Kim; Jong-Hun Shin (CoRR, 2021)

Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks. - Edwin Valarezo Añazco; Seungju Han; Kangil Kim; Patricio Rivera Lopez; Tae-Seong Kim 001; Sangmin Lee 002 (Sensors, 2021)

Spherization Layer: Representation Using Only Angles. - Hoyong Kim; Kangil Kim (NeurIPS, 2022)

Feature Structure Distillation for BERT Transferring. - Hee-Jun Jung; Doyeon Kim; Seung-Hoon Na; Kangil Kim (CoRR, 2022)

Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning. - Minchan Kwon; Kangil Kim (CoRR, 2023)

Revisiting Softmax Masking for Stability in Continual Learning. - Hoyong Kim; Minchan Kwon; Kangil Kim (CoRR, 2023)

Feature structure distillation with Centered Kernel Alignment in BERT transferring. - Hee-Jun Jung; Doyeon Kim; Seung-Hoon Na; Kangil Kim (Expert Syst. Appl., 2023)

Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions. - Sangmin Woo; Junhyug Noh; Kangil Kim (IEEE Trans. Neural Networks Learn. Syst., 2023)

Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction. - Jinwook Park; Kangil Kim (ACL (Findings), 2024)

Label-Focused Inductive Bias over Latent Object Features in Visual Classification. - Ilmin Kang; HyounYoung Bae; Kangil Kim (ICLR, 2024)

Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation. - Hoyong Kim; Kangil Kim (ICLR, 2024)

Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening. - Hoyong Kim; Semi Lee; Kangil Kim (CoRR, 2024)

CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder. - Hee-Jun Jung; Jaehyoung Jeong; Kangil Kim (Trans. Mach. Learn. Res., 2024)

RSCF: Relation-Semantics Consistent Filter for Entity Embedding of Knowledge Graph. - Junsik Kim; Jinwook Park; Kangil Kim (ACL (1), 2025)

Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs. - Hee-Jun Jung; Jaehyoung Jeong; Kangil Kim (CoRR, 2025)