Pilsung Kang

Orcid: 0000-0001-7663-3937

Affiliations:
  • Korea University, School of Industrial Management Engineering, South Korea
  • Seoul National University, Seoul, South Korea (PhD 2010)


According to our database1, Pilsung Kang authored at least 81 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DSTEA: Improving Dialogue State Tracking via Entity Adaptive pre-training.
Knowl. Based Syst., 2024

Transformer-based multivariate time series anomaly detection using inter-variable attention mechanism.
Knowl. Based Syst., 2024

Multi-task self-supervised time-series representation learning.
Inf. Sci., 2024

Training-free retrieval-based log anomaly detection with pre-trained language model considering token-level information.
Eng. Appl. Artif. Intell., 2024

Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model.
CoRR, 2024

A Gradient Accumulation Method for Dense Retriever under Memory Constraint.
CoRR, 2024

Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models.
CoRR, 2024

CheckEval: Robust Evaluation Framework using Large Language Model via Checklist.
CoRR, 2024

Detection and Defense: Student-Teacher Network for Adversarial Robustness.
IEEE Access, 2024

Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus Scores.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Recurrent auto-encoder with multi-resolution ensemble and predictive coding for multivariate time-series anomaly detection.
Appl. Intell., November, 2023

FEAT: A general framework for feature-aware multivariate time-series representation learning.
Knowl. Based Syst., October, 2023

Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics.
Comput. Vis. Image Underst., October, 2023

LAnoBERT: System log anomaly detection based on BERT masked language model.
Appl. Soft Comput., October, 2023

Time-series anomaly detection with stacked Transformer representations and 1D convolutional network.
Eng. Appl. Artif. Intell., April, 2023

Fault classification and timing prediction based on shipment inspection data and maintenance reports for semiconductor manufacturing equipment.
Comput. Ind. Eng., February, 2023

Cost-free adversarial defense: Distance-based optimization for model robustness without adversarial training.
Comput. Vis. Image Underst., January, 2023

RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information.
CoRR, 2023

Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Which is better? Exploring Prompting Strategy For LLM-based Metrics.
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023

Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Cross-modal distillation with audio-text fusion for fine-grained emotion classification using BERT and Wav2vec 2.0.
Neurocomputing, 2022

Sentence transition matrix: An efficient approach that preserves sentence semantics.
Comput. Speech Lang., 2022

DSTEA: Dialogue State Tracking with Entity Adaptive Pre-training.
CoRR, 2022

REVECA - Rich Encoder-decoder framework for Video Event CAptioner.
CoRR, 2022

Explainable anomaly detection framework for predictive maintenance in manufacturing systems.
Appl. Soft Comput., 2022

AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder.
IEEE Access, 2022

Text Embedding Augmentation Based on Retraining With Pseudo-Labeled Adversarial Embedding.
IEEE Access, 2022

K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

An Active Reference Reset Method Adapting Distribution Shift for Robust System Anomaly Detection.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances.
CoRR, 2021

Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification.
CoRR, 2021

Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms.
IEEE Access, 2021

Learning-Free Unsupervised Extractive Summarization Model.
IEEE Access, 2021

Lifelong Language Learning With the Most Forgotten Knowledge.
IEEE Access, 2021

2020
Freely typed keystroke dynamics-based user authentication for mobile devices based on heterogeneous features.
Pattern Recognit., 2020

Corrigendum to "Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning" [Information Sciences 490 (2019) 59-73].
Inf. Sci., 2020

Paraphrase thought: Sentence embedding module imitating human language recognition.
Inf. Sci., 2020

Unusual customer response identification and visualization based on text mining and anomaly detection.
Expert Syst. Appl., 2020

Multi^2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT.
CoRR, 2020

Comparative Study of Deep Learning-Based Sentiment Classification.
IEEE Access, 2020

Multi<sup>2</sup>OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Multi-co-training for document classification using various document representations: TF-IDF, LDA, and Doc2Vec.
Inf. Sci., 2019

Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning.
Inf. Sci., 2019

Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels.
IEEE Access, 2019

Machine Learning Classification of First-Onset Drug-Naive MDD Using Structural MRI.
IEEE Access, 2019

2018
Sentiment classification with word localization based on weakly supervised learning with a convolutional neural network.
Knowl. Based Syst., 2018

Locally linear ensemble for regression.
Inf. Sci., 2018

Integrating cluster validity indices based on data envelopment analysis.
Appl. Soft Comput., 2018

Keystroke dynamics-based user authentication using freely typed text based on user-adaptive feature extraction and novelty detection.
Appl. Soft Comput., 2018

2017
A deep learning-based sports player evaluation model based on game statistics and news articles.
Knowl. Based Syst., 2017

Private attribute inference from Facebook's public text metadata: a case study of Korean users.
Ind. Manag. Data Syst., 2017

Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network.
CoRR, 2017

Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market.
Comput. Intell. Neurosci., 2017

2016
Box-office forecasting based on sentiments of movie reviews and Independent subspace method.
Inf. Sci., 2016

Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing.
Expert Syst. Appl., 2016

Late payment prediction models for fair allocation of customer contact lists to call center agents.
Decis. Support Syst., 2016

2015
Improvement of virtual metrology performance by removing metrology noises in a training dataset.
Pattern Anal. Appl., 2015

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

Keystroke dynamics-based user authentication using long and free text strings from various input devices.
Inf. Sci., 2015

Constructing a multi-class classifier using one-against-one approach with different binary classifiers.
Neurocomputing, 2015

An efficient and effective ensemble of support vector machines for anti-diabetic drug failure prediction.
Expert Syst. Appl., 2015

Multi-class classification via heterogeneous ensemble of one-class classifiers.
Eng. Appl. Artif. Intell., 2015

2014
Evaluating the reliability level of virtual metrology results for flexible process control: a novelty detection-based approach.
Pattern Anal. Appl., 2014

Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing.
Neurocomputing, 2014

One-Class Naïve Bayesian Classifier for Toll Fraud Detection.
IEICE Trans. Inf. Syst., 2014

Multivariate Control Charts Based on Hybrid Novelty Scores.
Commun. Stat. Simul. Comput., 2014

2013
Locally linear reconstruction based missing value imputation for supervised learning.
Neurocomputing, 2013

2012
Support vector class description (SVCD): Classification in kernel space.
Intell. Data Anal., 2012

Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing.
Expert Syst. Appl., 2012

Improved response modeling based on clustering, under-sampling, and ensemble.
Expert Syst. Appl., 2012

2011
Virtual metrology for run-to-run control in semiconductor manufacturing.
Expert Syst. Appl., 2011

2009
A hybrid novelty score and its use in keystroke dynamics-based user authentication.
Pattern Recognit., 2009

A virtual metrology system for semiconductor manufacturing.
Expert Syst. Appl., 2009

<i>K</i>-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008
Locally linear reconstruction for instance-based learning.
Pattern Recognit., 2008

Improvement of keystroke data quality through artificial rhythms and cues.
Comput. Secur., 2008

2007
Continual Retraining of Keystroke Dynamics Based Authenticator.
Proceedings of the Advances in Biometrics, International Conference, 2007

2006
The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication.
Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems.
Proceedings of the Neural Information Processing, 13th International Conference, 2006


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