International Conference

PUBLICATIONS

Yukyung Lee, Soonwon Ka, Bokyung Son, Pilsung Kang, Jaewook Kang*. (2025). Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models. NAACL 2025 (Industry Track).
Jaehee Kim, Yukyung Lee, Pilsung Kang*. (2024). A Gradient Accumulation Method for Dense Retriever under Memory Constraint. NeurIPS.
Sangmin Lee, Suzie Oh, Saeran Park, Guijin Son, Pilsung Kang*. (2024). FINALE : Finance Domain Instruction-Tuning Dataset with High-Quality Rationales via Chain-of-Thought Prompting. FinNLP-AgentScen, IJCAI.
Kiyoon Jeong, Woojun Lee, Woongchan Nam, Minjeong Ma, Pilsung Kang*. (2024). Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus Scores. (1st prize) Caption Re-ranking Topic, NICE Workshop, CVPR.
Yukyung Lee, Joonghoon Kim, Jaehee Kim, Hyowon Cho, Pilsung Kang*. (2024). CheckEval: Robust Evaluation Framework using Large Language Model via Checklist. Human-centered Evaluation and Auditing of Language Models (HEAL), CHI.
Seonggye Lee, Pilsung Kang*. (2024). Focus on Your Negative Samples in Time-Series Representation Learning. Oral presentation, AI4TS Workshop, AAAI.
Joonghoon Kim, Saeran Park, Kiyoon Jeong, Sangmin Lee, Seung Hun Han, Jiyoon Lee, Pilsung Kang*. (2023). Which is better? Exploring Prompting Strategy For LLM-based Metrics. (1st prize) both Small/Large LLM - Summarization Track (Eval4NLP), IJCNLP-AACL.
Yookyung Kho, Jahee Kim, Pilsung Kang*. (2023). Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification. Findings of the Association for Computational Linguistics, EMNLP.
Yukyung Lee, Takyoung Kim, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim*. (2023). DSTEA: Dialogue State Tracking with Entity Adaptive Pre-training. KnowledgeNLP, KDD.
Yukyung Lee, Jaehee Kim, Doyoon Kim, Yookyung Kho, Pilsung Kang*. (2023). Painsight: An Extendable Opinion Mining Framework for Detection Pain Points Based on Online Customer Reviews. 14th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA), ACL.
Jungho Lee, Pilsung Kang*. (2022). Graph Convolutional Network-Based Fashion Item Recommendation. 2022 3rd International Conference on Computer Communication and Information Systems. CCCIS.
Kyoungchan Park, Seungwan Seo, Jaehyuk Heo, Yonggi Jeong, Pilsung Kang* (2022). Adversarial Detection Using Feature Prediction Networks. 2022 3rd International Conference on Computer Communication and Information Systems. CCCIS.
Seungwan Seo, Heejeong Choi, Pilsung Kang*. (2022). An Active Reference Reset Method Adapting Distribution Shift for Robust System Anomaly Detection. The 13th International Coference on ICT Convergence. ICTC.
Takyoung Kim, Yukyung Lee, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim (2022). Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances. Proceedings of the 2022 Workshop on Towards Semi-Supervised and Reinforced Task-Oriented Dialog Systems. (SereTOD Workshop @ EMNLP 2022).
Jounghee Kim, Pilsung Kang* (2022). K-Wav2vec 2.0: Automatic Speech Recognition Based on Joint Decoding of Graphemes and Syllables. Interspeech.
Jaehyuk Heo, Yonggi Jeong, Sunwoo Kim, Jaehee Kim, Pilsung Kang* (2022). REVECA - Rich Encoder-decoder framework for Video Event CAptioner. Technical Report (3rd prize) for LOng-form VidEo Understanding Challenge (LOVEU). The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR).
Hwawon Hwang, Yojin Kim, Seunghye Lee, Heejeong Choi, Pilsung Kang, Yongha In, Wonwoo Ro, Namwook Kang. (2022). Development of Machine Learning Based Model for Anomaly Detection and Fault Cause Diagnosis of Assets in Petrochemical Industries. The 2022 IEEE 2nd Conference on Information Technology and Data Sciecne (CITDS 2022).
Takyoung Kim, Hoonsang Yoon, Yukyung Lee, Pilsung Kang, Misuk Kim (2022). Mismatch Between Multi-Turn Dialogue and Its Evaluation Metric in Dialogue State Tracking. Proceedings of the Association for Computational Linguistics (ACL).
Youngbin Ro, Yukyung Lee, Pilsung Kang (2020). Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT. Findings of the Association for Computational Linguistics, EMNLP.
Junhong Kim, Hyungseok Kim, Pilsung Kang* (2019). Draw A Deep Pattern - Temporal Convolution Neural Network Based Novelty Detection For Smartphone User Authentication From Drawing Patterns. INFORMS 2019 Annual Meeting, Seattle, WA, Oct. 20-23.
Seungwan Seo, Donghwa Kim, Pilsung Kang* (2019). Intrusion Detection Based On Sequential Information Preserving Log Embedding Methods And Anomaly Detection Algorithms. INFORMS 2019 Annual Meeting, Seattle, WA, Oct. 20-23.
Heejeong Choi, Pilsung Kang* (2019). Real-time Significant Wave Height Classification From Raw Ocean Images Based On Convolutional Neural Network. INFORMS 2019 Annual Meeting, Seattle, WA, Oct. 20-23.
Myeongjun Jang, Pilsung Kang* (2018). Sentence Embedding Module Satisfying a Characteristic of Human Language Recognition. INFORMS 2018 Annual Meeting, Phoenix, AZ, Nov. 4-7.
Seungwan Seo, Deokseong Seo, Myungjun Jang, Jaeyun Jung, Pilsung Kang* (2018). Identifying and Visualizing Uncommon Customer Response on Machine Learning, INFORMS 2018 Annual Meeting, Phoenix, AZ, Nov. 4-7.
Donghwa Kim, Deokseong Seo, Suhyoun Cho, Pilsung Kang.* (2017) Multi-Co-Training for Document Classification using Multi-views. INFORMS 2017 Annual Meeting, Houston, TX, Oct. 22-25.
Czang Yeob Kim, Pilsung Kang.* (2017) Aspect Extraction and Polarity Classification of Reviews Based on Deep Neural Network. INFORMS 2017 Annual Meeting, Houston, TX, Oct. 22-25.
Hyungseok Kim, Boseop Kim, and Pilsung Kang.* (2016) Evaluating information Quality for News Articles Based on Topic Modeling. INFORMS 2016 Annual Meeting, Nashville, TN, Nov. 13-16.
Junhong Kim, Haedong Kim, Boseop Kim, and Pilsung Kang.* (2016) Strengthening Free-Text Keystroke Dynamics Based user Authentication Based on User-Aadaptive Feature Construction for One-Class Classification. INFORMS 2016 Annual Meeting, Nashville, TN, Nov. 13-16.
Pilsung Kang, Kyungil Kim, and Nam-Wook Cho. (2013). Toll Fraud Detection of VoIP Services via an Ensemble of Novelty Detection Algorithms. The 17th International Conference on Industrial Engineering Theory, Applications and Practice, Busan, Republic of Korea, Oct. 6-9.
Pilsung Kang, Sanggook Kim, Hyunwoo Park, and Hakyeon Lee. (2013). Pre-Launch New Product Demand Forecasting Based on the Bass Diffusion Model and an Ensemble of Regression Algorithms, The 2nd International Symposium on System Informatics and Engineering (ISSIE2013), Xian, China.
Hyun-joong Kim, Sungzoon Cho, and Pilsung Kang. (2013). Improving Word Segmentation with Unlabeled Data. The 2nd International Symposium on System Informatics and Engineering (ISSIE2013), Xian, China.
Minhoe Hur, Sungzoon Cho, and Pilsung Kang. (2013). A Hierarchical Bayesian Model to Predict Box-Office Audience of Motion Pictures. The 2nd International Symposium on System Informatics and Engineering (ISSIE2013), Xian, China.
Taegu Kim, Jungsik Hong, and Pilsung Kang. (2013). Forecasting the Box-Office of Motion Pictures using Social Network Service Data with an Ensemble of Machine Learning Algorithm. The International Symposium on Forecasting (ISF 2013), Seoul, Republic of Korea. (Student Travel Granted)
Pilsung Kang and Sungzoon Cho. (2011). Keystroke Dynamics-Based User Verification – Who is typing now? INFORMS Annual Meeting (INFORMS 2011), Charolette, NC, USA.
Gulanbaier Tuerhong, Pilsung Kang, Sungzoon Cho, Seoung Bum Kim (2011). Integration of Novelty Score Algorithm and Control Chart Technique. INFORMS Annual Meeting (INFORMS 2011), Charolette, NC, USA.
Pilsung Kang and Sungzoon Cho. (2009). K-Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy. The 13th International Conferenceon Intelligent Data Engineering and Automated Learning (IDEAL 2009), Burgos, Spain. E. Corchado and H. Yin (Eds.), Lecture Notes in Computer Science (LNCS), 5788, 109-117.
Pilsung Kang and Sungzoon Cho. (2008). Novelty Detection Based on Distance and Topological Relation. INFORMS Annual Meeting (INFORMS 2008), Washington D.C., USA.
Pilsung Kang and Sungzoon Cho. (2007). Customer Data Reconstruction Methods for Response Modeling, INFORMS Annual Meeting (INFORMS 2007), Seattle, W.A., USA.
Pilsung Kang, Seongseob Hwang, and Sungzoon Cho. (2007). Continual Retraining of Keystroke Dynamics Based Authenticator. The 2nd International Conference on Biometrics (ICB 2007), Seoul, Korea. S.-W. Lee and S.Z. Li (Eds.), Lecture Notes in Computer Science (LNCS), 4642, 1203-1211.
Pilsung Kang and Sungzoon Cho. (2006). EUS SVMSs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems. The 13th International Conference on Neural Information Processing (ICONIP 2006), Hong Kong, China. I. King, J. Wang, L. Chan, and D. Wang (Eds.), 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. Workshop on Intelligence and Security Informatics (WISI 2006), Singapore. H. Chen, F.Y. Wang, C.C. Yang, D. Zeng, M. Chau, and K. Chang (Eds.), 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 허재혁 : jaehyuk.heo@snu.ac.kr)
서울특별시 관악구 관악로 1 서울대학교 공과대학 39동 411호