EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems. - Pilsung Kang 001; Sungzoon Cho (ICONIP (1), 2006)

The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication. - Pilsung Kang 001; Sunghoon Park; Sungzoon Cho; Seongseob Hwang; Hyoungjoo Lee (WISI, 2006)

Continual Retraining of Keystroke Dynamics Based Authenticator. - Pilsung Kang 001; Seongseob Hwang; Sungzoon Cho (ICB, 2007)

Improvement of keystroke data quality through artificial rhythms and cues. - Pilsung Kang 001; Sunghoon Park; Seongseob Hwang; Hyoungjoo Lee; Sungzoon Cho (Comput. Secur., 2008)

Locally linear reconstruction for instance-based learning. - Pilsung Kang 001; Sungzoon Cho (Pattern Recognit., 2008)

K-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy. - Pilsung Kang 001; Sungzoon Cho (IDEAL, 2009)

A virtual metrology system for semiconductor manufacturing. - Pilsung Kang 001; Hyoungjoo Lee; Sungzoon Cho; Dongil Kim; Jinwoo Park; Chan-Kyoo Park; Seungyong Doh (Expert Syst. Appl., 2009)

A hybrid novelty score and its use in keystroke dynamics-based user authentication. - Pilsung Kang 001; Sungzoon Cho (Pattern Recognit., 2009)

Virtual metrology for run-to-run control in semiconductor manufacturing. - Pilsung Kang 001; Dongil Kim; Hyoungjoo Lee; Seungyong Doh; Sungzoon Cho (Expert Syst. Appl., 2011)

Improved response modeling based on clustering, under-sampling, and ensemble. - Pilsung Kang 001; Sungzoon Cho; Douglas L. MacLachlan (Expert Syst. Appl., 2012)

Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing. - Dongil Kim; Pilsung Kang 001; Sungzoon Cho; Hyoungjoo Lee; Seungyong Doh (Expert Syst. Appl., 2012)

Support vector class description (SVCD): Classification in kernel space. - Pilsung Kang 001; Sungzoon Cho (Intell. Data Anal., 2012)

Locally linear reconstruction based missing value imputation for supervised learning. - Pilsung Kang 001 (Neurocomputing, 2013)

Multivariate Control Charts Based on Hybrid Novelty Scores. - Gulanbaier Tuerhong; Seoung Bum Kim; Pilsung Kang 001; Sungzoon Cho (Commun. Stat. Simul. Comput., 2014)

One-Class Naïve Bayesian Classifier for Toll Fraud Detection. - Pilsung Kang 001 (IEICE Trans. Inf. Syst., 2014)

Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing. - Seung-kyung Lee; Pilsung Kang 001; Sungzoon Cho (Neurocomputing, 2014)

Evaluating the reliability level of virtual metrology results for flexible process control: a novelty detection-based approach. - Pilsung Kang 001; Dongil Kim; Sungzoon Cho (Pattern Anal. Appl., 2014)

Multi-class classification via heterogeneous ensemble of one-class classifiers. - Seokho Kang 001; Sungzoon Cho; Pilsung Kang 001 (Eng. Appl. Artif. Intell., 2015)

An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction. - Seokho Kang 001; Pilsung Kang 001; Taehoon Ko; Sungzoon Cho; Su-jin Rhee; Kyung-Sang Yu (Expert Syst. Appl., 2015)

Constructing a multi-class classifier using one-against-one approach with different binary classifiers. - Seokho Kang 001; Sungzoon Cho; Pilsung Kang 001 (Neurocomputing, 2015)

Keystroke dynamics-based user authentication using long and free text strings from various input devices. - Pilsung Kang 001; Sungzoon Cho (Inf. Sci., 2015)

The effects of different alphabets on free text keystroke authentication: A case study on the Korean-English users. - Pilsung Kang 001 (J. Syst. Softw., 2015)

Improvement of virtual metrology performance by removing metrology noises in a training dataset. - Dongil Kim; Pilsung Kang 001; Seung-kyung Lee; Seokho Kang 001; Seungyong Doh; Sungzoon Cho (Pattern Anal. Appl., 2015)

Late payment prediction models for fair allocation of customer contact lists to call center agents. - Jongmyoung Kim; Pilsung Kang 001 (Decis. Support Syst., 2016)

Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing. - Pilsung Kang 001; Dongil Kim; Sungzoon Cho (Expert Syst. Appl., 2016)

Box-office forecasting based on sentiments of movie reviews and Independent subspace method. - Minhoe Hur; Pilsung Kang 001; Sungzoon Cho (Inf. Sci., 2016)

Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market. - Taegu Kim; Jungsik Hong; Pilsung Kang 001 (Comput. Intell. Neurosci., 2017)

Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network. - Gichang Lee; Jaeyun Jeong; Seungwan Seo; CzangYeob Kim; Pilsung Kang 001 (CoRR, 2017)

Private attribute inference from Facebook's public text metadata: a case study of Korean users. - Daeseon Choi; Younho Lee; Seokhyun Kim; Pilsung Kang 001 (Ind. Manag. Data Syst., 2017)

A deep learning-based sports player evaluation model based on game statistics and news articles. - Youngjoon Park; Hyung Seok Kim; Donghwa Kim 001; Hankyu Lee; Seoung Bum Kim; Pilsung Kang 001 (Knowl. Based Syst., 2017)

Keystroke dynamics-based user authentication using freely typed text based on user-adaptive feature extraction and novelty detection. - Junhong Kim; Haedong Kim; Pilsung Kang 001 (Appl. Soft Comput., 2018)

Integrating cluster validity indices based on data envelopment analysis. - Boseop Kim; Hakyeon Lee; Pilsung Kang 001 (Appl. Soft Comput., 2018)

Locally linear ensemble for regression. - Seokho Kang 001; Pilsung Kang 001 (Inf. Sci., 2018)

Sentiment classification with word localization based on weakly supervised learning with a convolutional neural network. - Gichang Lee; Jaeyun Jeong; Seungwan Seo; CzangYeob Kim; Pilsung Kang 001 (Knowl. Based Syst., 2018)

Machine Learning Classification of First-Onset Drug-Naive MDD Using Structural MRI. - Donghwa Kim 001; Pilsung Kang 001; Junhong Kim; Czang Yeob Kim; Jong-Ha Lee; Sangil Suh; Moon-Soo Lee (IEEE Access, 2019)

Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels. - Eunjeong L. Park; Sungzoon Cho; Pilsung Kang 001 (IEEE Access, 2019)

Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning. - Myeongjun Jang; Seungwan Seo; Pilsung Kang 001 (Inf. Sci., 2019)

Multi-co-training for document classification using various document representations: TF-IDF, LDA, and Doc2Vec. - Donghwa Kim 001; Deokseong Seo; Suhyoun Cho; Pilsung Kang 001 (Inf. Sci., 2019)

Multi2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT. - Youngbin Ro; Yukyung Lee; Pilsung Kang 001 (EMNLP (Findings), 2020)

Comparative Study of Deep Learning-Based Sentiment Classification. - Seungwan Seo; CzangYeob Kim; Haedong Kim; Kyounghyun Mo; Pilsung Kang 001 (IEEE Access, 2020)

Multi^2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT. - Youngbin Ro; Yukyung Lee; Pilsung Kang 001 (CoRR, 2020)

Unusual customer response identification and visualization based on text mining and anomaly detection. - Seungwan Seo; Deokseong Seo; Myeongjun Jang; Jaeyun Jeong; Pilsung Kang 001 (Expert Syst. Appl., 2020)

Paraphrase thought: Sentence embedding module imitating human language recognition. - Myeongjun Jang; Pilsung Kang 001 (Inf. Sci., 2020)

Corrigendum to "Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning" [Information Sciences 490 (2019) 59-73]. - Myeongjun Jang; Seungwan Seo; Pilsung Kang 001 (Inf. Sci., 2020)

Freely typed keystroke dynamics-based user authentication for mobile devices based on heterogeneous features. - Junhong Kim; Pilsung Kang 001 (Pattern Recognit., 2020)

Lifelong Language Learning With the Most Forgotten Knowledge. - Heejeong Choi; Pilsung Kang 001 (IEEE Access, 2021)

Learning-Free Unsupervised Extractive Summarization Model. - Myeongjun Jang; Pilsung Kang 001 (IEEE Access, 2021)

Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms. - CzangYeob Kim; Myeongjun Jang; Seungwan Seo; Kyeongchan Park; Pilsung Kang 001 (IEEE Access, 2021)

Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification. - Junghoon Lee; Jounghee Kim; Pilsung Kang 001 (CoRR, 2021)

Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances. - Takyoung Kim; Yukyung Lee; Hoonsang Yoon; Pilsung Kang 001; Misuk Kim (CoRR, 2021)

Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking. - Takyoung Kim; Hoonsang Yoon; Yukyung Lee; Pilsung Kang 001; Misuk Kim (ACL (2), 2022)

An Active Reference Reset Method Adapting Distribution Shift for Robust System Anomaly Detection. - Seungwan Seo; Heejeong Choi; Pilsung Kang 001 (ICTC, 2022)

K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables. - Jounghee Kim; Pilsung Kang 001 (INTERSPEECH, 2022)

Text Embedding Augmentation Based on Retraining With Pseudo-Labeled Adversarial Embedding. - Myeongsup Kim; Pilsung Kang 001 (IEEE Access, 2022)

AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder. - Yunseung Lee; Pilsung Kang 001 (IEEE Access, 2022)

Explainable anomaly detection framework for predictive maintenance in manufacturing systems. - Heejeong Choi; Donghwa Kim 001; Jounghee Kim; Jina Kim; Pilsung Kang 001 (Appl. Soft Comput., 2022)

REVECA - Rich Encoder-decoder framework for Video Event CAptioner. - Jaehyuk Heo; YongGi Jeong; Sunwoo Kim; Jaehee Kim; Pilsung Kang 001 (CoRR, 2022)

DSTEA: Dialogue State Tracking with Entity Adaptive Pre-training. - Yukyung Lee; Takyoung Kim; Hoonsang Yoon; Pilsung Kang 001; Junseong Bang; Misuk Kim (CoRR, 2022)

Sentence transition matrix: An efficient approach that preserves sentence semantics. - Myeongjun Jang; Pilsung Kang 001 (Comput. Speech Lang., 2022)

Cross-modal distillation with audio-text fusion for fine-grained emotion classification using BERT and Wav2vec 2.0. - Donghwa Kim 001; Pilsung Kang 001 (Neurocomputing, 2022)

Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification. - Yookyung Kho; Jaehee Kim; Pilsung Kang 001 (EMNLP (Findings), 2023)

Which is better? Exploring Prompting Strategy For LLM-based Metrics. - Joonghoon Kim; Sangmin Lee; Seung Hun Han; Saeran Park; Jiyoon Lee; Kiyoon Jeong; Pilsung Kang 001 (Eval4NLP, 2023)

Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews. - Yukyung Lee; Jaehee Kim; Doyoon Kim; Yookyung Kho; Younsun Kim; Pilsung Kang 001 (WASSA@ACL, 2023)

RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information. - Gunho No; Yukyung Lee; Hyeongwon Kang; Pilsung Kang 001 (CoRR, 2023)

Cost-free adversarial defense: Distance-based optimization for model robustness without adversarial training. - Seungwan Seo; Yunseung Lee; Pilsung Kang 001 (Comput. Vis. Image Underst., 2023)

Fault classification and timing prediction based on shipment inspection data and maintenance reports for semiconductor manufacturing equipment. - Euisuk Chung; Kyoungchan Park; Pilsung Kang 001 (Comput. Ind. Eng., 2023)

Time-series anomaly detection with stacked Transformer representations and 1D convolutional network. - Jina Kim; Hyeongwon Kang; Pilsung Kang 001 (Eng. Appl. Artif. Intell., 2023)

LAnoBERT: System log anomaly detection based on BERT masked language model. - Yukyung Lee; Jina Kim; Pilsung Kang 001 (Appl. Soft Comput., 2023)

Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics. - Jaehyuk Heo; Seungwan Seo; Pilsung Kang 001 (Comput. Vis. Image Underst., 2023)

FEAT: A general framework for feature-aware multivariate time-series representation learning. - Subin Kim; Euisuk Chung; Pilsung Kang 001 (Knowl. Based Syst., 2023)

Recurrent auto-encoder with multi-resolution ensemble and predictive coding for multivariate time-series anomaly detection. - Heejeong Choi; Subin Kim; Pilsung Kang 001 (Appl. Intell., 2023)

Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus Scores. - Kiyoon Jeong; Woojun Lee; Woongchan Nam; Minjeong Ma; Pilsung Kang 001 (CVPR Workshops, 2024)

A Gradient Accumulation Method for Dense Retriever under Memory Constraint. - Jaehee Kim; Yukyung Lee; Pilsung Kang 001 (NeurIPS, 2024)

Detection and Defense: Student-Teacher Network for Adversarial Robustness. - Kyoungchan Park; Pilsung Kang 001 (IEEE Access, 2024)

CheckEval: Robust Evaluation Framework using Large Language Model via Checklist. - Yukyung Lee; Joonghoon Kim; Jaehee Kim; Hyowon Cho; Pilsung Kang 001 (CoRR, 2024)

Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model. - Jaehyuk Heo; Pilsung Kang 001 (CoRR, 2024)

Training-free retrieval-based log anomaly detection with pre-trained language model considering token-level information. - Gunho No; Yukyung Lee; Hyeongwon Kang; Pilsung Kang 001 (Eng. Appl. Artif. Intell., 2024)

Multi-task self-supervised time-series representation learning. - Heejeong Choi; Pilsung Kang 001 (Inf. Sci., 2024)

Transformer-based multivariate time series anomaly detection using inter-variable attention mechanism. - Hyeongwon Kang; Pilsung Kang 001 (Knowl. Based Syst., 2024)

DSTEA: Improving Dialogue State Tracking via Entity Adaptive pre-training. - Yukyung Lee; Takyoung Kim; Hoonsang Yoon; Pilsung Kang 001; Junseong Bang; Misuk Kim (Knowl. Based Syst., 2024)

Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models. - Yukyung Lee; Soonwon Ka; Bokyung Son; Pilsung Kang 001; Jaewook Kang (NAACL (Industry Track), 2025)

Normalizing flow-based latent space mapping for implicit pattern authentication on mobile devices. - Jaehyuk Heo; Jeongseob Kim; Euisuk Chung; Subin Kim; Pilsung Kang 001; Donghwa Shin; Jinho Shin; Daehee Han (Appl. Soft Comput., 2025)

RobustMixGen: Data augmentation for enhancing robustness of visual-language models in the presence of distribution shift. - Sunwoo Kim; Hun Im; Woojun Lee; Seonggye Lee; Pilsung Kang 001 (Neurocomputing, 2025)

Granularity Fusion Transformer: Learning multi-granularity patterns for time-series forecasting. - Jinwoo Park; Hyeongwon Kang; Seunghun Han; Pilsung Kang 001 (Knowl. Based Syst., 2025)

COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection. - Jaewon Cheon; Pilsung Kang 001 (CoRR, 2025)

Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection. - Kiyoon Jeong; Jaehyuk Heo; Junyeong Son; Pilsung Kang 001 (CoRR, 2025)

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers. - Pilsung Kang 001 (CoRR, 2025)

Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions. - Jaehyuk Heo; Pilsung Kang 001 (CoRR, 2025)