Domestic Conference
Jung JY, Kim HC, Sparceiver: Overcoming Gradient Confusion with Dynamic Attention Threshold in Transformers, Korean Society for Industrial Applied Mathematics (KSIAM) Spring Conference, May/2024 [Oral Presentation]
Pyun CH, Lim JH, Jung JY, Jung SM, Kim HC, An Empirical Study on Convolutional Neural Network Models for Mobile Eye Tracking, Brain Engineering Society of Korea (BESK), Feb/2024
Lim JH, Lee JH, Kim HC, 3D-β-VAE for Sensorimotor Task Classification: A fMRI study, Brain Engineering Society of Korea (BESK), Feb/2024
Kim JS, Kim HC, Neural Responses in fMRI During Naturalistic Emotional Video Watching: CMU-MOSEI dataset, Korean Society for Human Brain Mapping (KHBM), Oct/2023
Lim JH, Lee JH, Kim HC, Variational Masked Autoencoder for Sensorimotor Classification Using Whole-brain fMRI Pattern, Korean Society for Human Brain Mapping (KHBM), Oct/2023
Jung JY, Kim HC, Avoiding Gradient Confusion with Sparceiver: Perceiver with Sparse Latent Activation, Brain Engineering Society of Korea (BESK), June/2023
Yun MH, Jung JY, Kim HC Transfer Learning based Neural Signal Classification in a Rapid Serial Visual Presentation Task, Brain Engineering Society of Korea (BESK), Feb/2023 [Best Poster Award]
Jung JY, Kim HC, Transporter: Euclidean Neural Network without Deep Learning Conventions, Brain Engineering Society of Korea (BESK), Feb/2023
Choi Minseok, Kim HC, Youn Inchan, Lee Song Joo, Lee Jong-Hwan, Functional Localization of Lower Limb Movements Using fMRI with MR-Compatible Devices, Korean Society for Human Brain Mapping (KHBM), Nov/2022
Lee Juhyeon, Kim HC, Lee Jong-Hwan, Investigation of Multimodal Image and Text Processing in the Human Brain using Neural Networks, Korean Society for Human Brain Mapping (KHBM), Nov/2022
Yun MH, Jung JY, Kim HC, Preliminary Study: EEGNet for Motor Imagery Classification with Minimal Preprocessing, Korean Society for Human Brain Mapping (KHBM), Nov/2022
Jung JY, Yun MH, Kim HC, USAT: Unified Sparse Attention for Transformer, Korean Society for Human Brain Mapping (KHBM), Nov/2022[Best Poster Award]
Jung JY, Kim HC, Sparceiver: Perceiver with dynamic & sparse latent activations, Brain Engineering Society of Korea (BESK), June/2022 [Best Poster Award]
Lee JHyeon, Kim HC, Lee JH, Investigation of Brain Activity for Image and Text modalities, Annual meeting of Organisation for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM), Nov/2021.
Kim HC, Lee JHyeon, Kim JS, Jo SM, Lee JH, Understanding of multimodal image and natural language processing in human brain using deep neural network and functional MRI, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Feb/2019
Lee JHyeon, Kim HC, Kim JS, Jo SM, Lee JH, Decoding a sentence from functional MRI using deep neural network, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Feb/2019
Vu H, Kim HC, Lee JH, 3D convolutional neural network for feature extraction and classification of fMRI volumes, Annual meeting of Organisation for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM), Nov/2018 [Best Poster Award]
Lee JHyeon, Kim HC, Lee JH, Individual identification applying deep neural networks to dynamic functional connectivity patterns Annual meeting of Organisation for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM), Nov/2018 [Best Poster Award]
Kim HC, Tegethoff M, Meinlschmidt G, Stalujanis E, Belardi A, Jo SM, Lee JHyeon, Heo DW, Kim DY, Yoo SS, Lee JH, Identification of functional connectivity associated with mindfulness based on mediation analysis in real-time fMRI neurofeedbackBrain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
Jo SM, Heo DW, Kim HC, Lustig Niv, Lee JH, fMRI study of nicotine craving using MR-compatible e-cigarette smoking equipment and machine learning approach, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
Lee JHyeon, Kim HC, Lee JH, Deep neural network based subject identification using dynamic functional connectivity patterns in resting-state, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
Lustig N, Kim HC, Lee JH, Classification of mindfulness and mind-wandering states using functional connectivity patterns, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018
Vu H, Kim HC, Lee JH, 3D convolutional neural networks for feature extraction and classification of fMRI volumes acquired from sensorimotor tasks, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jan/2018 [Best Poster Award]
Kim HC, Tegethoff M, Meinlschmidt G, Stalujanis E, Belardi A, Jo SM, Lee JHyeon, Kim DY, Yoo SS, Lee JH. Real-time fMRI neurofeedback-based mediation analysis of triple networks enhances the mindfulness training, Korean Society for Human Brain Mapping (KHBM) 2017
Jo SM, Heo DW, Kim HC, Lee JH. MR-compatible e-cigarette smoking can evaluate personal craving to nicotine using machine learning approach, Korean Society for Human Brain Mapping (KHBM) 2017
Heo DW, Jang YJ, Kim HC, Lee JH, Investigation of different neuronal substrates between electronic cigarette and tobacco via mixed-effects multilevel analysis considering subject variability from an fMRI, Korean Society for Human Brain Mapping (KHBM) 2017
Kim HC, Cho CH, Lee JH, Investigation of objective assessment of depression from young adults based on brain connectivity features and biological rhythms, Korean Society for Brain and Neural Sciences (KSBNS) 2017, Aug/2017
Kim HC, Lee JH, Emotion prediction from the fMRI data using deep neural network, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK) 2017.
Heo DW, Jang Y, Kim HC, Lee JH, Distinction of neuronal substrates between electronic cigarette and tobacco via psychophysiological interaction analysis using fMRI data, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK) 2017.
Jo SM, Heo DW, Kim HC, Lee JH, Evaluation and application of MR-compatible e-cigarette equipment, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK) 2017.
*Kim HC, Lee JH, Human emotion estimation from fMRI data using deep neural network, The Korean Society for Cognitive Science (KSCS) 2016, Republic of Korea. [Oral Presentation]
Kim HC, Lee JH, Development, evaluation, and applications of deep neural network algorithms to neuroimaging data, [Summer] Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), 2016.
Kim HC, Lee JH, Emotion prediction from fMRI using deep neural network-based regression, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), 2016.
Heo DW, Jang Y, Kim HC, Lee JH, Neural substrates of electronic cigarette and tobacco: preliminary fMRI study, Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), 2016.
Kim HC, Lee JH, Hemodynamic response of neuronal activity: Preliminary study using simultaneous scalp EEG-fMRI. Brain Computer engineering (BCE) Symposium, 2015.
Kim HC, Lee JH, A Method to Estimate Hemodynamic Couplings of Mu Rhythm Activity from Motor Imagery Task: A Preliminary EEG/fMRI Study, Brain Engineering Society of Korea (BESK), 2015.
Kim HC, Lee JH, A Feasibility of Principal Component Analysis to Remove Residual Artifacts in EEG Data Acquired with fMRI Data, Brain Engineering Society of Korea (BESK), 2014.
Koo IY, Yang TW, Kim HC, Kim DY, Lee JH, Links between musical features, emotional responses, and EEG band rhythms: A pilot study, Korean Society of Human Brain Mapping (KHBM), 2014.
Kim HC, Lee JH, EEG signatures associated with smoking desire: A pilot study using simultaneous EEG-fMRI data, Brain Engineering Society of Korea (BESK), 2013.