Congratulations!!! Kwanseok received the ‘KU Achievement Award.’
Author: milab
2 papers have been accepted to BCI 2023
Congratulations!!! 2 papers have been accepted to BCI 2023.
2 papers have been accepted to IPIU 2023
Congratulations!!! 2 papers have been accepted to IPIU 2023.
Eunjin and KwanSeok were awarded the “NAVER PhD Fellowship”.
Congratulation!! Eunjin and KwanSeok won the 2022 NAVER PhD Fellowship award. The fellowship is awarded to graduate students with top-quality research output.
2 Papers Accepted to MedNeurIPS 2022
Congratulations!!! Wisnu and Kwanseok’s papers are accepted for presentation at MedNeurIPS 2022.
Accepted to Psychiatric Research
Congratulations!!! Da-Woon’s work in collaboration with Medical School in Jeonbuk National University is accepted for publication in Psychiatric Research (IF: 11.225, 9/145 in Psychiatry). Jaein and Eunsong are also listed as co-authors. Woo-Sung Kim#, Da-Woon Heo#, Jie Shen, Uyanga Tsogt, Soyolsaikhan Odkhuu, Jaein Lee, Eunsong Kang, Sung-Wan Kim, Heung-Il Suk*, Young-Chul Chung*, “Altered Functional Connectivity in...
Accepted to ICDM 2022
Congratulations!!! Seungwoo’s paper on “Deep Geometrical Learning for Alzheimer’s Disease Progression Modeling” is accepted to present in ICDM 2022 as a regular paper (acceptance rate: 9.77%). S. Jeong, W. Jung, J. Sohn, and H.-I. Suk, “Deep Geometrical Learning for Alzheimer’s Disease Progression Modeling,” ICDM2022 (Accepted).
Accepted to IEEE-TCYB
Congratulations!!! Jaeun’s paper on “TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging,” has been accepted to IEEE Transactions on Cybernetics.
Accepted to CIKM2022
Congratulations!!! Wonjun’s work on “EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation” has been accepted to present at CIKM2022.
Accepted to IEEE-TPAMI
Congratulations!! Kwanseok and Jee-Seok’s (Co-first) paper, “Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer’s Disease Diagnosis Model,” has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI).