International Journal

PUBLICATIONS

Kiyoon Jeong+, Jaehyuk Heo+, Junyeong Son, Pilsung Kang*. (2026+). Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection. Computer Vision and Image Understanding (CVIU). (Accept for Publication). (+: Equally contributed).
Seonghee Hong, Jaehee Kim, Joonghoon Kim, Saeran Park, Younsun Kim, Pilsung Kang*. (2025+). RECUR: Retrieval-based Customer Review Analysis Framework utilizing Nonparametric Masked Language Modeling, Multimedia Tools and Applications. (Accept for Publication).
Jaehyuk Heo, Pilsung Kang*. (2026). Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions. Neurocomputing, 671, 132660.
Doyoon Kim, Pilsung Kang*. (2026). UFORank : Unified Framework of Unsupervised Keyphrase Extraction for Long Documents. IEEE Access, 14.
Jiyoon Lee, Joonghoon Kim, Pilsung Kang*. (2026). CEREAL: Personality-Driven LLM-based Conversational Recommendation Dataset with Contextually-Enriched and Realistic User Interactions, Multimedia Tools and Applications. 85-47.
Saeran Park, Sangmin Lee, Jiyoon Lee, Minjeong Ma, Joonghoon Kim and Pilsung Kang* (2026). GETUSP : Goal-Oriented Topic Modeling Framework for Unique Selling Point Discovery. Journal of Retailing and Consumer Services 90, 104640.
Woojun Lee, Pilsung Kang. (2026). Memory Bank-Guided Diffusion Model for Lightweight Anomaly Detection, Applied Soft Computing, 186, 114215.
Hun Im, Pilsung Kang. (2026). Patch-level proxy metric learning with coresets for precise anomaly localization, Engineering Applications of Artificial Intelligence, 163, 113094.
Jinwoo Park, Hyeongwon Kang, Seunghun Han, Pilsung Kang*. (2025). Granularity Fusion Transformer: Learning multi-granularity patterns for time-series forecasting. Knowledge-Based Systems, 320, 113644.
Sunwoo Kim+, Hun Im+, Woojun Lee, Seonggye Lee, Pilsung Kang*. (2025). RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution Shift. Neurocomputing, 619, 129167. (+: Equally contributed)
Jaehyuk Heo, Jeongseob Kim, Euisuk Chung, Subin Kim, Pilsung Kang, Donghwa Shin, Jinho Shin, Daehee Han*. (2025). Normalizing flow-based latent space mapping for implicit pattern authentication on mobile devices. Applied Soft Computing, 169, 112469.
Kyoungchan Park, Pilsung Kang*. (2024). Detection and Defense: Student-Teacher Network for Adversarial Robustness. IEEE Access, 12, 82742-82752.
Gunho No+, Yukyung Lee+, Hyeongwon Kang, Pilsung Kang*. (2024). Training-free Retrieval-based Log Anomaly Detection with Pre-trained Language Model considering Token-level Information. Engineering Applications of Artificial Intelligence, 133, 108613. (+: Equally contributed)
Heejeong Choi, Pilsung Kang* (2024). Multi-task Self-supervised Time-series Representation Learning. Information Sciences, 671, 120654.
Hyeongwon Kang, Pilsung Kang*. (2024). Transformer-based Multivariate Time Series Anomaly Detection using Inter-Variable Attention Mechanism. Knowledge-Based Systems, 290, 111507.
Yukyung Lee, Takyoung Kim, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim*. (2024). DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training. Knowledge-Based Systems, 290, 111542
Heejeong Choi, Subin Kim, Pilsung Kang*. (2023). Recurrent Auto-Encoder with Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection. Applied Intelligence, 1-13.
Yukyung Lee, Jina Kim, Pilsung Kang*. (2023). LAnoBERT : System Log Anomaly Detection Based on BERT Masked Language Model. Applied Soft Computing, 146, 116089.
Jaehyuk Heo+, Seungwan Seo+, Pilsung Kang*. (2023). Exploring the Differences in Adversarial Robustness Between ViT- and CNN-Based Models Using Novel Metrics. Computer Vision and Image Understanding. 235, 103800. (+: Equally contributed)
Subin Kim, Euisuk Chung, and Pilsung Kang*. (2023). FEAT: A General Framework for Feature-Aware Multivariate Time-Series Representation Learning. Knowledge-Based Systems, 277, 110790.
Jina Kim, Hyeongwon Kang, Pilsung Kang*. (2023). Time-Series Anomaly Detection with Stacked Transformer Representations and 1D Convolutional Network. Engineering Applications of Artificial Intelligence, 120, 105964.
Jungwoo Choi, Hyeongwon Kang, Jeongseob Kim, Heejeong Choi, Yunseung Lee, Pilsung Kang*. (2023). Deep Learning-Based Multi-Horizon Forecasting for Automated Material Handling System Throughput in Semiconductor Fab. IEEE Transactions on Semiconductor Manufacturing, 36(1), 113-129.
Euisuk Chung, Kyoungchan Park, Pilsung Kang*. (2023) Fault Classification and Timing Prediction Based on Shipment Inspection Data and Maintenance Reports for Semiconductor Manufacturing Equipment. Computers & Industrial Engineering, 176, 108972.
Seungwan Seo, Yunseung Lee, Pilsung Kang*. (2023) Cost-Free Adversarial Defense: Distance-Based Optimization for Model Robustness without Adversarial Training. Computer Vision and Image Understanding, 227, 103599.
Junhong Kim, Pilsung Kang*. (2022). Drawing-Pattern-Based Smartphone User Authentication Based on Temporal Convolutional Neural Network. Applied Sciences, 12(15), 7590.
Donghwa Kim, Pilsung Kang*. (2022). Cross-Modal Distillation with Audio–Text Fusion for Fine-Grained Emotion Classification Using BERT and Wav2vec 2.0. Neurocomputing, 506, 2022, 168-183.
Heejeong Choi, Donghwa Kim, Jounghee Kim, Jina Kim, Pilsung Kang* (2022). Explainable Anomaly Detection Framework for Predictive Maintenance in Manufacturing Systems. Applied Soft Computing, 125, 109147.
Yunseung Lee and Pilsung Kang* (2022). AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-Based Encoder-Decoder. IEEE Access, 10, 46717-46724.
Myeongsup Kim and Pilsung Kang* (2022). Text Embedding Augmentation Based on Retraining with Pseudo-Labeled Adversarial Embedding. IEEE Access, 10, 8363-8376.
Myeongjun Jang and Pilsung Kang* (2022). Sentence Transition Matrix: an Efficient Approach that Preserves Sentence Semantics. Computer Speech & Language, 71, 101266.
Donghwa Kim and Pilsung Kang* (2021). Dynamic Clustering for Wafer Map Patterns using Self-Supervised Learning on Convolutional Autoencoders. IEEE Transactions on Semiconductor Manufacturing, 34(4), 444-454.
Czang Yeob Kim, Myeongjun Jang, Seungwan Seo, Kyeongchan Park, Pilsung Kang*. (2021). Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms. IEEE Access, 9, 58088-58101.
Heejeong Choi, Pilsung Kang*. (2021). Lifelong Language Learning with the Most Forgotten Knowledge. IEEE Access, 9, 57941-57948.
Myeongjun Jang, Pilsung Kang*. (2021). Learning-Free Unsupervised Extractive Summarization Model, IEEE Access, 9, 14358-14368.
Junhong Kim, Pilsung Kang*. (2020). Freely Typed Keystroke Dynamics-Based User Authentication for Mobile Devices Based on Heterogeneous Features. Pattern Recognition, 108, 107556.
Myeongjun Jang, Pilsung Kang*. (2020). Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition. Information Sciences, 541, 123-135.
Heejeong Choi, Minsik Park, Gyubin Son, Jaeyun Jeong, Jaesun Park, Kyounghyun Mo, Pilsung Kang*. (2020). Real-Time Significant Wave Height Estimation from Raw Ocean Images Based on 2D and 3D Deep Neural Networks. Ocean Engineering, 201, 107129.
Jihoon Moon, Junhong Kim, Pilsung Kang and Eenjun Hwang*.(2020). Solving the Cold-Start Problem in Short-Term Load Forecasting Using Tree-Based Methods. Energies, 13(4), 886.
Seungwan Seo, Deokseong Seo, Myeongjun Jang, Jaeyun Jeong, Pilsung Kang*. (2020). Unusual Customer Response Identification and Visualization Based on Text Mining and Anomaly Detection. Expert Systems with Applications, 144, 113111.
Seungwan Seo, Czangyeob Kim, Haedong Kim, Kyounghyun Mo, Pilsung Kang*. (2020). Comparative Study of Deep Learning-Based Sentiment Classification. IEEE Access, 8, 6861 - 6875.
Donghwa Kim, Pilsung Kang, Junhong Kim, Czang Yeob Kim, Jong-Ha Lee, Sangil Suh, Moon-Soo Lee.* (2019). Machine Learning Classification of First-Onset Drug-Naive MDD Using Structural MRI. IEEE Access, 7, 153977 - 153985.
Junhong Kim, Minsik Park, Haedong Kim, Suhyoun Cho, and Pilsung Kang*.(2019). Insider Threat Detection Based on User Behavior Modeling and Novelty Detection Algorithms. Applied Sciences, 9(19), 4018.
Junhong Kim, Jihoon Moon, Eenjun Hwang, Pilsung Kang*. (2019). Recurrent Inception Convolution Neural Network for Multi Short-Term Load Forecasting. Energy & Buildings, 194(1), 328-341.
Myeongjun Jang, Seungwan Seo, and Pilsung Kang*. (2019). Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning. Information Sciences, 490, 59-73.
Eunjeong L. Park, Sungzoon Cho, and Pilsung Kang*. (2019). Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels. IEEE Access, 7, 29051-29064.
Junhong Kim, Hyungseok Kim, Jaeseon Park, Kyounghyun Mo, and Pilsung Kang*. (2019). Bin2Vec: A Better Wafer Bin Map Coloring Scheme for Comprehensible Visualization and Effective Bad Wafer Classification. Applied Sciences, 9(3), 597.
Donghwa Kim, Deokseong Seo, Suhyoun Cho and Pilsung Kang*. (2019). Multi-Co-Training for Document Classification using Various Document Representations: TF–IDF, LDA, and Doc2Vec. Information Sciences, 477, 15-29.
Junhong Kim and Pilsung Kang*. (2018). Analyzing International Collaboration and Identifying Core Topics for the "Internet of Things" Based on Network Analysis and Topic Modeling. International Journal of Industrial Engineering: Theory, Applications and Practice, 25(3), 349-369.
Hakyeon Lee and Pilsung Kang*. (2018). Identifying Core Topics in Technology and Innovation Management Studies: A Topic Model Approach. Journal of Technology Transfer, 43(5), 1291-1317.
Seokho Kang and Pilsung Kang*. (2018). Locally Linear Ensemble for Regression. Information Sciences, 432, 199-209.
Gichang Lee, Jaeyun Jeong, Seungwan Seo, Czang Yeob Kim and Pilsung Kang*. (2018). Sentiment Classification with Word Localization Based on Weakly Supervised Learning with a Convolutional Neural Network. Knowledge-based Systems, 152, 70-82.
Junhong Kim, Haedong Kim and Pilsung Kang*. (2018). Keystroke Dynamics-Based User Authentication using Freely Typed Text Based on User-Adaptive Feature Extraction and Novelty Detection. Applied Soft Computing, 62, 1077-1087.
Boseop Kim, Hakyeon Lee and Pilsung Kang*. (2018). Integrating Cluster Validity Indices Based on Data Envelopment Analysis. Applied Soft Computing, 64, 94-108.
Young Joon Park, Hyung Seok Kim, Hankyu Lee, Donghwa Kim, Seoung Bum Kim, and Pilsung Kang*. (2017). A Deep Learning-Based Sports Player Evaluation Model Based on Game Statistics and News Articles. Knowledge-Based Systems, 138, 15-26.
Daeseon Choi, Younho Lee, Seok Hyun Kim, and Pilsung Kang*. (2017). Undisclosed Private Attribute Inference from Facebook Profile Data. Industrial Management & Data Systems, 117(8), 1687-1706.
Taegu Kim, Jungsik Hong and Pilsung Kang* (2017). Box-Office Forecasting Considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market. Computational Intelligence and Neuroscience, 2017, 4315419.
Seokho Kang and Pilsung Kang*. (2017). An Intelligent Virtual Metrology System with Adaptive Update for Semiconductor Manufacturing. Journal of Process Control, 52, 66-74.
Minhoe Hur, Pilsung Kang, and Sungzoon Cho*. (2016). Box-Office Forecasting using Independent Subspace Method Based on Sentiment of Movie Reviews. Information Sciences, 372, 608-624.
Jongmyung Kim and Pilsung Kang*. (2016). Late Payment Prediction Models for Fair Allocation of Customer Contact Lists to Call Center Agents. Decision Support Systems, 85, 84-101.
Pilsung Kang, Dongil Kim*, and Sungzoon Cho. (2016). Semi-Supervised Support Vector Regression Based on Self-Training with Label Uncertainty: An Application to Virtual Metrology in Semiconductor Manufacturing. Expert Systems with Applications, 51, 85-106.
Taegu Kim, Jungsik Hong, and Pilsung Kang*. (2015). Box Office Forecasting using Machine Learning Algorithms Based on SNS data. International Journal of Forecasting, 31(2), 364-390.
Seokho Kang, Sungzoon Cho, and Pilsung Kang*. (2015). Multi-Class Classification via Heterogeneous Ensemble of One-Class Classifiers. Engineering Applications of Artificial Intelligence, 43, 35-43.
Pilsung Kang, Kyungil Kim, and Namwook Cho*. (2015). Toll Fraud Detection of VoIP Services via an Ensemble of Novelty Detection Algorithms. International Journal of Industrial Engineering: Theory, Applications and Practice, 22(2), 213-222.
Pilsung Kang* and Sungzoon Cho. (2015). Keystroke Dynamics-Based User Authentication using Long and Free Text Strings from Various Input Devices. Information Sciences, 308, 72-93.
Seokho Kang, Pilsung Kang, Taehoon Ko, Sungzoon Cho*, Su-jin Rhee, and Kyung-sang Yu. (2015). An Efficient and Effective Ensemble of Support Vector Machines for Anti-diabetic Drug Failure Prediction. Expert Systems with Applications, 42(9), 4265-4273.
Pilsung Kang. (2015). The Effects of Different Alphabets on Free Text Keystroke Authentication: A Case Study on the Korean-English Users. Journal of Systems and Software, 102, 1-11.
Dongil Kim, Pilsung Kang, Seung-kyung Lee, Seokho Kang, Seungyong Doh, and Sungzoon Cho*. (2015). Improving Virtual Metrology Performance by Removing Metrology Noises in a Training Dataset. Pattern Analysis and Applications, 18(1), 173-189.
Seokho Kang, Sungzoon Cho, and Pilsung Kang*. (2015). Constructing a Multi-Class Classifier using One-Against-One Approach with Different Binary Classifiers. Neurocomputing, 149, 677-682.
Pilsung Kang*, Dongil Kim, and Sungzoon Cho. (2014). Evaluating the Reliability Level of Virtual Metrology Results for Flexible Process Control: A Novelty Detection-Based Approach. Pattern Analysis and Applications, 17(4), 863-881.
Hakyeon Lee, Sanggook Kim, Hyunwoo Park, and Pilsung Kang*. (2014). Pre-Launch New Product Demand Forecasting using the Bass Model: A Statistical and Machine Learning-based Approach. Technological Forecasting and Social Change, 86, 49-64.
Pilsung Kang. (2014). One-Class Naive Bayesian Classifier with Genetic Algorithm for Toll Fraud Detection. IEICE Transactions on Information and Systems, E97-D(5), 1353-1357.
Seung-kyung Lee, Pilsung Kang, and Sungzoon Cho*. (2014). Probabilistic Local Reconstruction for K-NN Regression and its Application to Virtual Metrology in semiconductor manufacturing. Neurocomputing, 131, 423-439.
Gulanbaier Tuerhong, Seoung Bum Kim*, Pilsung Kang, and Sungzoon Cho. (2014). Multivariate Control Chart Based on Hybrid Novelty Scores. Communications in Statistics-Simulation and Computation, 43(1), 115-131.
Pilsung Kang. (2013). Locally Linear Reconstruction Based Missing Value Imputation for Supervised learning. Neurocomputing, 118, 65-78.
Pilsung Kang, Sungzoon Cho* and Douglas L. MacLachlan. (2012). Improved Response Modeling Based on Clustering Under-Sampling, and Ensemble. Expert Systems with Applications, 39(8), 6738-6753.
Pilsung Kang and Sungzoon Cho*. (2012). Support Vector Class Description (SVCD): Classification in Kernel Space. Intelligent Data Analysis, 16(3), 351-364.
Dongil Kim, Pilsung Kang, Sungzoon Cho*, Hyoung-joo Lee, and Seungyong Doh. (2012). Machine learning-Based Novelty Detection for Faulty Wafer Detection in Semiconductor Manufacturing. Expert Systems with Applications, 39(4), 4075-4083.
Pilsung Kang, Dongil Kim, Hyoung-joo Lee, Seungyong Doh, and Sungzoon Cho*. (2011). Virtual Metrology for Run-to-Run Control in Semiconductor Manufacturing. Expert Systems with Applications, 38(3), 2508-2522.
Pilsung Kang and Sungzoon Cho*. (2009). A Hybrid Novelty Score and its Use in Keystroke Dynamics-based User Authentication. Pattern Recognition, 42(11), 3115-3127.
Pilsung Kang, Hyoung-joo Lee, Sungzoon Cho*, Dongil Kim, Jinwoo Park, Chan-Kyoo Park, and Seungyong Doh. (2009). A Virtual Metrology System for Semiconductor Manufacturing. Expert Systems with Applications, 36(10), 12554-12561.
Pilsung Kang and Sungzoon Cho. (2009). K-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy. Lecture Notes in Computer Science (LNCS), 5788, 10.
Pilsung Kang, Sunghoon Park, Seong-seob Hwang, Hyoung-joo Lee, and Sungzoon Cho*. (2008). Improvement of Keystroke Data Quality through Artificial Rhythms and Cues. Computers & Security, 27(1-2), 3-11.
Pilsung Kang and Sungzoon Cho*. (2008). Locally Linear Reconstruction for Instance-based Learning. Pattern Recognition, 41(11), 3507-3518.
Pilsung Kang, Seongseob Hwang, and Sungzoon Cho. (2007). Continual Retraining of Keystroke Dynamics Based Authenticator. Lecture Notes in Computer Science (LNCS), 4642, 1203-1211.
Pilsung Kang and Sungzoon Cho. (2006). EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems. Lecture Notes in Computer Science (LNCS), 4232, 837-846.
Pilsung Kang, Sunghoon Park, Sungzoon Cho, Seong-seob Hwang, and Hyoung-joo Lee. (2006). The Effectiveness of Artificial Rhythms and Cues in Keystroke Dynamics Based User Authentication. Lecture Notes in Computer Science (LNCS), 3917, 161-162.

Data Science & Business Analytics Lab.
Department of Industrial Engineering, College of Engineering,
Seoul National University

Contact Us

강필성 교수 (pilsung_kang@snu.ac.kr)
서울특별시 관악구 관악로 1 서울대학교 공과대학 39동 301호
대학원 연구실 (총무 김재희: jaehee_kim@snu.ac.kr)
서울특별시 관악구 관악로 1 서울대학교 공과대학 39동 411호