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교수소개

교수소개 - 전자전기공학

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    Lab Brain and Machine Intelligence Lab.

관심분야

강화학습, 뇌인지과학, LLM, Physical AI/ 로봇틱스, 자율주행, 통신네트워크, AI+X

학술지 논문

  • (2026)  Evolving Intelligent Network Attack Classifier Under Label Distribution Shift.  IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING.  13, 
  • (2026)  Price of the Autonomous Strategy with Reinforcement Learning in Mixed-autonomy Traffic Networks.  IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.  27,  2
  • (2025)  CluVar: Clustering of Variants Using Autoencoder for Inferring Cancer Subclones From Single Cell RNA Sequencing Data.  BRIEFINGS IN BIOINFORMATICS.  26,  6
  • (2025)  Personalized Split Federated Learning with Early-exit: Pre-training and Online Learning Against Label Shifts.  IEEE INTERNET OF THINGS JOURNAL.  12,  22
  • (2025)  Scenario-free Autonomous Driving with Multi-task Offline-to-online Reinforcement Learning.  IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.  26,  9

학술회의논문

  • (2026)  Simple Actors and Deep Critics for Scalable Reinforcement Learning.  ACM Conference on Information and Knowledge Management.  이탈리아
  • (2026)  Multi^2: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments.  International Conference on Machine Learning.  대한민국
  • (2026)  Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing.  International Conference on Machine Learning.  대한민국
  • (2026)  Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift.  Conference on Computer Vision and Pattern Recognition.  미국
  • (2025)  ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate.  ACM Conference on Information and Knowledge Management.  대한민국
  • (2025)  OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System.  ACM Conference on Information and Knowledge Management.  대한민국