이상원 Sangwon Lee

Sangwon Lee

Bachelor's degree in 2018, Master's in 2020, School of Electronics Engineering, KNU.

Research interest: sound event detection (SED, applied to DCASE), audio source separation, medical image segmentation (PNI detection, PAIP challenge ). deep neural network design.

Email: lsw0767@knu.ac.kr

Publications

  1. (Conference) Sangwon Lee, Youngjae Park, Jinhee Park, Giljin Jang, Hyemi Kim. Multi-target Learning on asymmetric U-Net for PNI boundary detection. In Proceedings of the 9th International Conference on Big Data Applications and Services (BIGDAS2021), Vol.9, No.1, Pages 127-131
    Date and location: November 25-27, 2021; Jeju Island, Korea
    DOI: https://doi.org/10.1109/ICTC52510.2021.9621001

  2. (Conference/Oral) Sangwon Lee, Gil-Jin Jang, Hyemi Kim. Asymmetric U-Net for Weakly Supervised Sound Event Detection. 한국인공지능학회 추계 학술대회
    Date of Conference: November 4-6, 2021

  3. (Conference/Oral) Sangwon Lee, Gil-Jin Jang*. Stochastic Drop of Kernel Windows for Improved Generalization in Convolution Neural Networks. In Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, Pages 223-227, February, 2019.
    Dates and Location: February 7-10, 2019, San Diego, California, USA
    Presented: Saturday February 9, 2019, Session 2 8:30-10:30 (IHSI 2: Intelligence, Technology and Analytics I), http://ihsint.org/
    DOI: https://doi.org/10.1007/978-3-030-11051-2_34

  4. (Conference/Oral) Sangwon Lee, Gil-Jin Jang*. Multi-Hop Global Average Pooling for Convolutional Neural Networks for Image Classification. In Proceedings of The Third International Conference On Consumer Electronics (ICCE) Asia, pages 248-251, June 2018.
    Dates and Location: June 24 (Sun) - (Tue), 2018, Ramada Plaza Hotel, Jeju, Korea.
    Presented: Tuesday, June 26, 2018, RS07 Image/Signal Processing.

  5. (Conference/Abstract/Poster) 오동훈, 강승태, 이상원, 장길진. 순환 신경망 앙상블 모델을 사용한 EMR 데이터 예측. 2018 뇌와 인공지능 심포지엄. pp. 159.
    Donghoon Oh, Seungtae Kang, Sangwon Lee, Gil-Jin Jang. Ensemble Model-Based Prediction Using Recurrent Neural Networks for Electronic Medical Record. pp. 159.
    Dates: January 30-31, 2018. Presented: January 31, 2018.

  6. (Conference) Sangwon Lee, Gil-Jin Jang. Recognition Model Based on Residual Networks for Cursive Hanja Recognition. International Conference on Information and Communication Technology Convergence (ICTC), Pages 580-584. 20 October 2017.
    DOI: 10.1109/ICTC.2017.8190763
    Presented: 20 Oct. 2017
    Conference Location: Jeju Island, Korea (South)

  7. (Conference/Abstract/Poster) 오동훈, 강승태, 이상원, 장길진. 순환 신경망 앙상블 모델을 사용한 EMR 데이터 예측. 2018 뇌와 인공지능 심포지엄. pp. 159.
    Donghoon Oh, Seungtae Kang, Sangwon Lee, Gil-Jin Jang. Ensemble Model-Based Prediction Using Recurrent Neural Networks for Electronic Medical Record. pp. 159.
    Dates: January 30-31, 2018. Presented: January 31, 2018.