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전임교수

  • 부교수 AI/ML
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    Lab LearnData laboratory

관심분야

Machine Learning, Explainable AI(XAI), Knowledge Discovery, Relational learning, Graph Mining, Trustworthy AI

학력

  • Ph.D. in Computer Science, Purdue University, USA

약력/경력

  • Research Scientist, Korea Institute of Science and Technology (KIST) , South Korea (2008-2013)
  • Technical Editor, United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT) (2012-2013)
  • Research Intern, IBM Research, USA (2017, 2018)

학술지 논문

  • (2026)  Uncertainty-Enhanced Spatiotemporal Framework for Sit-to-Stand Temporal Segmentation in Parkinson's Disease.  IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING.  34,  1
  • (2026)  Harnessing spatial dependency for domain generalization in multivariate time-series sensor data.  EXPERT SYSTEMS WITH APPLICATIONS.  317,  1
  • (2026)  Conjunctive query embedding-based few-shot item recommendation.  NEURAL NETWORKS.  196,  1
  • (2024)  Enhancing knowledge tracing with concept map and response disentanglement.  KNOWLEDGE-BASED SYSTEMS.  302,  112346
  • (2024)  Self-supervised Multimodal Graph Convolutional Network for collaborative filtering.  INFORMATION SCIENCES.  653,  1
  • (2023)  Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness.  NEURAL NETWORKS.  164,  1
  • (2023)  Stretchable array electromyography sensor with graph neural network for static and dynamic gestures recognition system.  NPJ FLEXIBLE ELECTRONICS.  7,  1
  • (2020)  A framework for understanding online group behaviors during a catastrophic event.  INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT.  51, 
  • (2014)  Real-time panoramic video streaming system with overlaid interface concept for social media.  MULTIMEDIA SYSTEMS.  20,  6
  • (2006)  A hybrid mood classification approach for blog text.  LECTURE NOTES IN COMPUTER SCIENCE.  4099, 

특허/프로그램

  • 컨텐츠 연관 정보 관리 장치 및 그 방법(Apparatus and Method for managing information related with content).  10-1427-7110000.  20140801.  대한민국
  • Highlight Providing System and Method based on Hot Topic Event Detection.  US20120079020A1.  20140527.  미국
  • 제품 및 서비스 관련 리뷰에 대한 요약 정보 생성 시스템 및 방법.  10-2012-0003157.  20131011.  대한민국
  • SNS 정보를 이용한 파노라마 영상 인터페이스 제공 시스템 및 방법(Panoramic Video Interface Providing System and Method using SNS Information).  10-1295-0020000.  20130801.  대한민국
  • 실시간 고해상도 파노라마 영상 스트리밍 시스템 및 방법(Real-time Panorama Streaming System for High Resolution Panorama Videos and/or Images).  10-1282-9550000.  20130701.  대한민국
  • 멀티 앵글 기반의 미디어 자키를 이용한 실시간 개인 방송 시스템(Real Time Personal Broadcasting System using Media Jockey based on Multi-Angle).  10-1242-4780000.  20130306.  대한민국
  • 핫 토픽 이벤트 추출에 기반한 실시간 이벤트의 하이라이트 제공 시스템 및 이를 이용한 하이라이트 서비스 제공방법(HIGHLIGHT PROVIDING SYSTEM BASED ON HOT TOPIC EVENT EXTRACTION AND HIGHLIGHT SERVICE PROVIDING METHOD USING THE SAME).  10-1169-3770000.  20120723.  대한민국
  • 문맥 기반 광고 시스템 및 방법(System and method for advertising based on context).  10-1110-0220000.  20120119.  대한민국

수상/공훈

  • Fulbright Fellowship, the U.S. Department of State (2013-2018)

학술회의논문

  • (2026)  Edge-Induced Subgraph Representation Learning.  ACM SIGKDD Conference on Knowledge Discovery and Data Mining.  대한민국
  • (2026)  Out-of-Distribution Robust Explainer for Graph Neural Networks.  ACM SIGKDD Conference on Knowledge Discovery and Data Mining.  대한민국
  • (2026)  M3KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation.  Conference on Computer Vision and Pattern Recognition.  미국
  • (2026)  SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous driving.  IEEE International Conference on Robotics and Automation.  오스트리아
  • (2026)  Low-pass Personalized Subgraph Federated Recommendation.  International Conference on Learning Representations.  브라질
  • (2026)  Judo: A Juxtaposed Domain-oriented Multimodal Reasoner for Industrial Anomaly QA.  International Conference on Learning Representations.  브라질
  • (2025)  Curriculum Guided Personalized Subgraph Federated Learning.  ACM Conference on Information and Knowledge Management.  대한민국
  • (2025)  Harnessing Influence Function in Explaining Graph Neural Networks.  ACM SIGKDD Conference on Knowledge Discovery and Data Mining.  캐나다
  • (2025)  Complex Reasoning in Knowledge Graph Question Answering Through Query Graph Approximation.  Annual Meeting of the Association for Computational Linguistics.  오스트리아
  • (2025)  Self-Supervised Adversarial Purification for Graph Neural Networks.  International Conference on Machine Learning.  캐나다
  • (2025)  Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric Encoding.  Pacific-Asia Conference on Knowledge Discovery and Data Mining.  오스트레일리아
  • (2025)  Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation.  Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.  미국
  • (2025)  Balancing Graph Embedding Smoothness in Self-supervised Learning via Information-Theoretic Decomposition.  International World Wide Web Conference.  오스트레일리아
  • (2025)  CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders.  ACM International Conference on Web Search and Data Mining.  독일
  • (2025)  AudioGenX: Explainability on Text-to-Audio Generative Models.  AAAI Conference on Artificial Intelligence.  미국
  • (2025)  MAMS: Model-Agnostic Module Selection Framework for Video Captioning.  AAAI Conference on Artificial Intelligence.  미국
  • (2024)  Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning.  Annual Meeting of the Association for Computational Linguistics.  태국
  • (2024)  UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models.  International Conference on Learning Representations (ICLR 2024).  EU연합
  • (2023)  Toward a Better Understanding of Loss Functions for Collaborative Filtering.  ACM Conference on Information and Knowledge Management.  영국
  • (2023)  Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning.  ACM SIGKDD Conference on Knowledge Discovery and Data Mining.  미국