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POSTECH

Ok Jungseul Associate Professor

Education

  • 2011.02 ~ 2016.08 한국과학기술원 (통합-전기및전자공학)
  • 2007.02 ~ 2011.02 한국과학기술원 (학사-전기및전자공학)

Career

  • 2019.01 ~ 2019.08 UNIVERSITY OF WASHINGTON
  • 2018.09 ~ 2019.01 UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN
  • 2017.04 ~ 2018.04 KTH ROYAL INSTITUTE OF TECHNOLOGY
  • 2016.09 ~ 2017.02 KAIST 정보전자연구소

Profession

Journal Papers

International
  • Optimal Clustering from Noisy Binary Feedback, Machine Learning, , 113, 2733-2764 (2024 )
  • Transfer Learning in Bandits With Latent Continuity, IEEE Transactions on Information Theory, , 70, 7952-7970 (2024 )
  • Optimal Rate Sampling in 80211 Systems Theory Design and Implementation, IEEE Transactions on Mobile Computing, , 18, 1145-1158 (2019 )
  • Optimal Inference in Crowdsourced Classification via Belief Propagation , IEEE Transactions on Information Theory, , 64, 6127-6138 (2018 )
  • On Maximizing Diffusion Speed Over Social Networks With Strategic Users , IEEEACM Transactions on Networking, , 24, 3798-3811 (2016 )
  • Embedding of virtual network requests over static wireless multihop networks , Computer Networks, , 57, 1139-1152 (2013 )

Conference Proceedings

  • MemBN Robust TestTime Adaptation via Batch Norm with Statistics Memory, Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 0, 0, 467-483 (2024)
  • An Investigation Into Explainable Audio Hate Speech Detection, , 0, 0, - (2024)
  • KeyElementInformed sLLM Tuning for Document Summarization, Proceedings of the Annual Conference of the International Speech Communication Association, 0, 0, 1940-1944 (2024)
  • MultiDimensional Optimization for Text Summarization via Reinforcement Learning, Proceedings of the Annual Meeting of the Association for Computational Linguistics, 0, 0, 5858-5871 (2024)
  • Active Label Correction for Semantic Segmentation with Foundation Models, Proceedings of Machine Learning Research, 0, 0, 23924-23940 (2024)
  • Improving Robustness to Multiple Spurious Correlations by MultiObjective Optimization, Proceedings of Machine Learning Research, 0, 0, 24040-24058 (2024)
  • 키워드 및 요약 기반 프롬프트를 통한 문서 단위 기계 번역, , 0, 0, - (2024)
  • 대규모 다국어 기계 번역 모델을 사용한 다중 피벗 연구의 성능 비교, , 0, 0, - (2024)
  • MedBN Robust Test Time Adaptation against Malicious Test Samples, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 0, 0, 5997-6007 (2024)
  • CLIPtone Unsupervised Learning for Textbased Image Tone Adjustment , 2024 IEEECVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION CVPR 2024, 0, 0, 2942-2951 (2024)
  • Fewshot Unlearning, 45TH IEEE SYMPOSIUM ON SECURITY AND PRIVACY SP 2024, 0, 0, 3276-3292 (2024)
  • 비지도학습을 통한 텍스트 기반의 영상 톤 조정 , , 0, 0, - (2024)
  • Active Learning for Semantic Segmentation with Multiclass Label Query, Advances in Neural Information Processing Systems, 0, 0, - (2023)
  • Bridging SubTasks to LongHorizon Task in Hierarchical GoalBased Reinforcement Learning, , 0, 0, - (2023)
  • Adaptive Superpixel for Active Learning in Semantic Segmentation, 2023 IEEECVF INTERNATIONAL CONFERENCE ON COMPUTER VISION ICCV, 0, 0, 943-953 (2023)
  • Leveraging Proxy of Training Data for TestTime Adaptation, Proceedings of Machine Learning Research, 0, 0, 15737-15752 (2023)
  • ActivityInformed Industrial Audio Anomaly Detection Via Source Separation, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 0, 0, - (2023)
  • Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 NEURIPS 2022, 0, 0, - (2022)
  • Combating Label Distribution Shift for Active Domain Adaptation, Proceedings of the 17th European Conference on Computer Vision, 0, 0, 549-566 (2022)
  • Towards SequenceLevel Training for Visual Tracking, Proceedings of the 17th European Conference on Computer Vision, 0, 0, 534-551 (2022)
  • MetaSSD MetaLearned SelfSupervised Detection , , 0, 0, - (2022)
  • LEARNING CONTINUOUS REPRESENTATION OF AUDIO FOR ARBITRARY SCALE SUPER RESOLUTION, ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 0, 0, 3703-3707 (2022)
  • Robust Deep Learning from Crowds with Belief Propagation, , 0, 0, - (2022)
  • Multiarmed Bandit Algorithm against Strategic Replication, Proceedings of International Conference on Artificial Intelligence and Statistics, 0, 0, - (2022)
  • Synthetic Blur Dataset for 2D Human Pose Estimation, , 0, 0, - (2022)
  • Power of Bonus in Pricing for Crowdsourcing, Proceedings of the ACM on Measurement and Analysis of Computing Systems, 0, 0, 1-25 (2021)
  • Gradient Inversion with Generative Image Prior , Advances in Neural Information Processing Systems 34, 0, 0, - (2021)
  • Transfer Learning in Bandits with Latent Continuity, Proc of The IEEE International Symposium on Information Theory ISIT 2021, 0, 0, - (2021)
  • Transfer Learning in Bandits with Latent Continuity, IEEE International Symposium on Information Theory Proceedings, 0, 0, 1463-1468 (2021)
  • Iterative Learning of Graph Connectivity from PartiallyObserved Cascade Samples , Mobihoc 20 Proceedings of the TwentyFirst International Symposium on Theory Algorithmic Foundations and Protocol Design for Mobile Networks and Mobile Computing, 0, 0, 141-150 (2020)
  • Iterative Bayesian Learning for Crowdsourced Regression, Proceedings of Machine Learning Research 89, 0, 0, - (2019)
  • Exploration in Structured Reinforcement Learning, Advances in Neural Information Processing Systems, 0, 0, - (2018)
  • Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications, IJCAI18 Proceedings of the 27th International Joint Conference on Artificial Intelligence, 0, 0, - (2018)
  • Collaborative Clustering Sample complexity and Efficient Algorithms, Volume 76 of the JMLR Workshop and Conference Proceedings Series, 0, 0, - (2017)
  • Optimality of Belief Propagation for Crowdsourced Classification, Proceedings of Machine Learning Research Volume 48 ICML 2016 Proceedings, 0, 0, - (2017)
  • Incentivizing Strategic Users for Social Diffusion Quantity or Quality, Proceedings of IEEE INFOCOM 2017, 0, 0, - (2017)
  • On the Progressive Spread over Strategic Diffusion Asymptotic and Computation, Proceedings of IEEE INFOCOM 2015, 0, 0, - (2015)
  • On Maximizing the Diffusion Speed in Social Networks Impact of Random Seeding and Clustering, PERFORMANCE Computer Performance Modelling Measurement and Evaluation 2014, 0, 0, - (2014)
  • Optimal Rate Sampling in 80211 Systems, Proceedings of IEEE INFOCOM 2014, 0, 0, - (2014)

IP

  • 조승혁,김호영,옥정슬,김동우, 크라우드 데이터셋 정제 및 모델 학습 체계, 한국, C-2022-057318 (PR20)
  • , 적응형 슈퍼픽셀을 통한 의미적 분할에서의 저비용 능동학습 프레임워크, 한국, 0 (PG20)
  • 옥정슬,김호영,황세현,곽수하, 수정 질의 기반의 데이터 수집 방법, 한국, 10-2024-0187504 (IP24)
  • 옥정슬,남진환,문선웅,조성현, 확산 모델을 이용한 이미지 편집에서 추가 학습이 필요 없는 속성 누출 방지 및 측정 방법, 한국, 10-2024-0177574 (IP24)
  • 옥정슬,김호영,진석희,김재창,성창환, 사전 지식으로 능동 학습된 시각 언어 모델의 동작 방법, 한국, 10-2024-0187431 (IP24)
  • 곽수하,황세현,김호영,옥정슬,권예호, 분류 모델을 훈련시키는 방법 및 장치, 한국, 10-2024-0198568 (IP24)
  • 옥정슬,송석빈,윤영식, 경로에 관한 최적화된 행동 조합을 선택하는 전자 장치 및 방법, 한국, 10-2025-0011105 (IP24)
  • 옥정슬,윤영식,이강복,안성수, 목표 지향 강화학습을 위한 전자 장치, 한국, 10-2023-0184863 (2023)
  • 옥정슬,김재창,이윤주,조현미,김동우,송치훈, 소리 신호 및 제어 신호를 이용한 이상 감지 시스템, 한국, 10-2023-0080968 (2023)

Invited Talk or Presentations

  • 진화하는 시스템을 위한 조합론적 밴딧 알고리즘, , 0, 0, - (2025)
  • BreadthFirst Exploration on Adaptive Grid for Reinforcement Learning, Proceedings of Machine Learning Research, 0, 0, 57331-57349 (2024)
  • Fast Personalized Pruning in Federated Learning, , 0, 0, - (2022)
  • Fewshot unlearning, , 0, 0, - (2022)
  • 웨어러블 디바이스의 이종 데이터를 이용한 개인화된 연합 학습에서의 개인정보 보호 효과, , 0, 0, - (2021)
  • 심층 강화 학습에서의 데이터 증강 이용 시기의 중요성 연구, , 0, 0, - (2021)
  • Iterative Bayesian Learning for Crowdsourced Regression, Proceedings of Machine Learning Research 89, 0, 0, - (2019)
  • Exploration in Structured Reinforcement Learning, Advances in Neural Information Processing Systems, 0, 0, - (2018)
  • Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications, IJCAI'18: Proceedings of the 27th International Joint Conference on Artificial Intelligence, 0, 0, - (2018)
  • Collaborative Clustering: Sample complexity and Efficient Algorithms, Volume 76 of the JMLR Workshop and Conference Proceedings Series, 0, 0, - (2017)
  • Optimality of Belief Propagation for Crowdsourced Classification, Proceedings of Machine Learning Research, Volume 48 (ICML 2016 Proceedings), 0, 0, - (2017)
  • Incentivizing Strategic Users for Social Diffusion: Quantity or Quality, Proceedings of IEEE INFOCOM 2017, 0, 0, - (2017)
  • On the Progressive Spread over Strategic Diffusion: Asymptotic and Computation, Proceedings of IEEE INFOCOM 2015, 0, 0, - (2015)
  • On Maximizing the Diffusion Speed in Social Networks: Impact of Random Seeding and Clustering, PERFORMANCE: Computer Performance Modelling, Measurement and Evaluation 2014, 0, 0, - (2014)
  • Optimal Rate Sampling in 802.11 Systems, Proceedings of IEEE INFOCOM 2014, 0, 0, - (2014)

Research Activities

  • , 포항공과대학교 (2019-2020)
  • , 포항공과대학교 (2019-2020)
  • , 포항공과대학교 (2019-2020)
  • , 포항공과대학교 (2019-2020)
  • , 포항공과대학교 (2020-2021)
  • , 포항공과대학교 (2020-2021)
  • ., 한국전자통신연구원 (2020-2020)
  • , 포항공과대학교 (2020-2045)
  • , 포항공과대학교 (2021-2022)
  • , 포항공과대학교 (2021-2022)
  • DEVELOPMENT OF DISTRIBUTED/COOPERATIVE AI BASED 5G+ NETWORK DATA ANALYTICS FUNCTIONS AND CONTROL TECHNOLOGY, 정보통신기획평가원 (2021-2021)
  • , 포항공과대학교 (2021-2022)
  • , 포항공과대학교 (2021-2022)
  • , 포항공과대학교 (2021-2022)
  • , (주)포스코아이씨티 (2021-2022)
  • DEVELOPMENT OF DISTRIBUTED/COOPERATIVE AI BASED 5G+ NETWORK DATA ANALYTICS FUNCTIONS AND CONTROL TECHNOLOGY, 정보통신기획평가원 (2022-2022)
  • , 정보통신기획평가원 (2022-2022)
  • , 포항공과대학교 (2022-2023)
  • , 엘지전자(주) (2022-2022)
  • , (주)크래프톤 (2022-2023)
  • , 정보통신기획평가원 (2023-2023)
  • , 정보통신기획평가원 (2023-2023)
  • , 한국마이크로소프트(유) (2023-2024)
  • , 포항공과대학교 (2023-2024)
  • , 포항공과대학교 (2023-2024)
  • , 포스코홀딩스(주) (2023-2023)
  • , 정보통신기획평가원 (2024-2024)
  • , 정보통신기획평가원 (2024-2024)
  • , 한국마이크로소프트(유) (2024-2025)
  • , 서울산업진흥원 (2024-2025)
  • , 정보통신기획평가원 (2025-2025)
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