Kangil Kim

48 papers A* 4A 1B 4C 1Journal 32Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
What and when to look? Temporal span proposal network for video relation detection.
Expert Syst. Appl.
Sangmin Woo, Junhyug Noh, Kangil Kim
2025 J jnl
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs.
CoRR
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim
2025 J jnl
Preference Distillation via Value based Reinforcement Learning.
CoRR
Minchan Kwon, Junwon Ko, Kangil Kim, Junmo Kim
2025 A* conf
Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction.
EMNLP
Jinwook Park, Kangil Kim
2025 J jnl
Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction.
CoRR
Jinwook Park, Kangil Kim
2025 — conf
RSCF: Relation-Semantics Consistent Filter for Entity Embedding of Knowledge Graph.
ACL (1)
Junsik Kim, Jinwook Park, Kangil Kim
2025 J jnl
RSCF: Relation-Semantics Consistent Filter for Entity Embedding of Knowledge Graph.
CoRR
Junsik Kim, Jinwook Park, Kangil Kim
2024 J jnl
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening.
CoRR
Hoyong Kim, Semi Lee, Kangil Kim
2024 J jnl
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder.
CoRR
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim
2024 J jnl
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder.
Trans. Mach. Learn. Res.
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim
2024 A* conf
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation.
ICLR
Hoyong Kim, Kangil Kim
2024 A* conf
Label-Focused Inductive Bias over Latent Object Features in Visual Classification.
ICLR
Ilmin Kang, HyounYoung Bae, Kangil Kim
2024 — conf
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction.
ACL (Findings)
Jinwook Park, Kangil Kim
2024 J jnl
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction.
CoRR
Jinwook Park, Kangil Kim
2023 J jnl
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning.
CoRR
Minchan Kwon, Kangil Kim
2023 J jnl
Feature structure distillation with Centered Kernel Alignment in BERT transferring.
Expert Syst. Appl.
Hee-Jun Jung, Doyeon Kim, Seung-Hoon Na, Kangil Kim
2023 J jnl
Revisiting Softmax Masking for Stability in Continual Learning.
CoRR
Hoyong Kim, Minchan Kwon, Kangil Kim
2023 J jnl
Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions.
IEEE Trans. Neural Networks Learn. Syst.
Sangmin Woo, Junhyug Noh, Kangil Kim
2022 J jnl
Feature Structure Distillation for BERT Transferring.
CoRR
Hee-Jun Jung, Doyeon Kim, Seung-Hoon Na, Kangil Kim
2022 A* conf
Spherization Layer: Representation Using Only Angles.
NeurIPS
Hoyong Kim, Kangil Kim
2021 J jnl
Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks.
Sensors
Edwin Valarezo Añazco, Seungju Han, Kangil Kim, Patricio Rivera Lopez, Tae-Seong Kim, Sangmin Lee
2021 J jnl
Learning from Matured Dumb Teacher for Fine Generalization.
CoRR
HeeSeung Jung, Kangil Kim, Hoyong Kim, Jong-Hun Shin
2021 J jnl
Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions.
CoRR
Sangmin Woo, Junhyug Noh, Kangil Kim
2021 J jnl
What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection.
CoRR
Sangmin Woo, Junhyug Noh, Kangil Kim
2020 J jnl
A Convolutional Neural Network for Prediction of Laser Power Using Melt-Pool Images in Laser Powder Bed Fusion.
IEEE Access
Ohyung Kwon, Hyung-Giun Kim, Wonrae Kim, Gun-Hee Kim, Kangil Kim
2020 J jnl
A deep neural network for classification of melt-pool images in metal additive manufacturing.
J. Intell. Manuf.
Ohyung Kwon, Hyung-Giun Kim, Min Ji Ham, Wonrae Kim, Gun-Hee Kim, Jae-Hyung Cho, Nam-Il Kim, Kangil Kim
2020 — conf
Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipment.
IEEE BigData
Ohyung Kwon, Nayeon Lee, Kangil Kim
2019 J jnl
Improving LSTM CRFs using character-based compositions for Korean named entity recognition.
Comput. Speech Lang.
Seung-Hoon Na, Hyun Kim, Jinwoo Min, Kangil Kim
2019 J jnl
Transition-Based Korean Dependency Parsing Using Hybrid Word Representations of Syllables and Morphemes with LSTMs.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Seung-Hoon Na, Jianri Li, Jong-hoon Shin, Kangil Kim
2018 J jnl
Conflict Relaxation of Activation-Based Regularization for Neural Network.
IEEE Access
Kangil Kim, Junhyug Noh, Dong-Kyun Kim, Minhyeok Kim
2018 J jnl
Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network.
IEEE Access
Kangil Kim, Dong-Kyun Kim, Junhyug Noh, Minhyeok Kim
2018 J jnl
Verbosity normalized pseudo-relevance feedback in information retrieval.
Inf. Process. Manag.
Seung-Hoon Na, Kangil Kim
2017 J jnl
Center-shared sliding ensemble of neural networks for syntax analysis of natural language.
Expert Syst. Appl.
Kangil Kim, Yun Jin, Seung-Hoon Na, Young-Kil Kim
2017 — conf
Concept Equalization to Guide Correct Training of Neural Machine Translation.
IJCNLP(2)
Kangil Kim, Jong-Hun Shin, Seung-Hoon Na, Sangkeun Jung
2017 J jnl
Divergence-based fine pruning of phrase-based statistical translation model.
Comput. Speech Lang.
Kangil Kim, Eun-Jin Park, Jong-Hun Shin, Oh-Woog Kwon, Young Kil Kim
2017 C conf
Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning.
ICMLA
Kangil Kim
2016 J jnl
Recursion-Based Biases in Stochastic Grammar Model Genetic Programming.
IEEE Trans. Evol. Comput.
Kangil Kim, Robert I. McKay, Nguyen Xuan Hoai
2014 J jnl
Probabilistic model building in genetic programming: a critical review.
Genet. Program. Evolvable Mach.
Kangil Kim, Yin Shan, Xuan Hoai Nguyen, Robert I. McKay
2013 B conf
Cutting evaluation costs: An investigation into early termination in genetic programming.
IEEE Congress on Evolutionary Computation
Namyong Park, Kangil Kim, Robert I. McKay
2013 J jnl
Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming.
IEEE Trans. Evol. Comput.
Kangil Kim, Robert I. McKay
2012 — conf
Analysing the Effects of Diverse Operators in a Genetic Programming System.
PPSN (1)
Minhyeok Kim, Bob McKay, Kangil Kim, Xuan Hoai Nguyen
2012 J jnl
Erratum to 'Investigating vesicular selection: A selection operator in in-vitro evolution' [Applied Soft Computing 11/8 (2012) [5528-5550].
Appl. Soft Comput.
Yun-Geun Lee, Bob McKay, Kangil Kim, Dong-Kyun Kim, Nguyen Xuan Hoai
2012 B conf
Implicit bias and recursive grammar structures in estimation of distribution genetic programming.
IEEE Congress on Evolutionary Computation
Kangil Kim, Nguyen Xuan Hoai, Bob McKay
2011 J jnl
Investigating vesicular selection: A selection operator in in vitro evolution.
Appl. Soft Comput.
Yun-Geun Lee, Bob McKay, Kangil Kim, Dong-Kyun Kim, Nguyen Xuan Hoai
2011 B conf
Operator Self-adaptation in Genetic Programming.
EuroGP
Minhyeok Kim, Robert Ian (Bob) McKay, Nguyen Xuan Hoai, Kangil Kim
2011 A conf
Structural difficulty in estimation of distribution genetic programming.
GECCO
Kangil Kim, Minhyeok Kim, Bob McKay
2010 — conf
An XML Format for Sharing Evolutionary Algorithm Output and Analysis.
SEAL
Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Robert Ian (Bob) McKay, Naoki Mori
2010 B conf
Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees.
PRICAI
Kangil Kim, Robert Ian (Bob) McKay, Dharani Punithan