Jiook Cha

According to our database, Jiook Cha authored at least 31 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range Dynamics Modeling?

Peter Yongho Kim, Juhyeon Park, Jungwoo Park, Jubin Choi, Jungwoo Seo, Jiook Cha, Taesup Moon

CoRR, April, 2026

Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Data.

Junghoon Justin Park, Yeonghyeon Park, Jiook Cha

CoRR, March, 2026

Hybrid Quantum Temporal Convolutional Networks.

Junghoon Justin Park, Maria Pak, Sebin Lee, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng, Jiook Cha

CoRR, February, 2026

Recovering Whole-Brain Causal Connectivity under Indirect Observation with Applications to Human EEG and fMRI.

Sangyoon Bae, Miruna Oprescu, David Keetae Park, Shinjae Yoo, Jiook Cha

CoRR, February, 2026

2025

DIVER-1 : Deep Integration of Vast Electrophysiological Recordings at Scale.

Danny Dongyeop Han, Yonghyeon Gwon, Ahhyun Lucy Lee, Taeyang Lee, Seong Jin Lee, Jubin Choi, Sebin Lee, Jihyun Bang, Seungju Lee, David Keetae Park, Shinjae Yoo, Chun Kee Chung, Jiook Cha

CoRR, December, 2025

Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis.

Jungwoo Seo, David Keetae Park, Shinjae Yoo, Jiook Cha

CoRR, November, 2025

Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware SSL.

Sangyoon Bae, Mehdi Azabou, Jiook Cha, Blake A. Richards

CoRR, October, 2025

CausalMamba: Scalable Conditional State Space Models for Neural Causal Inference.

Sangyoon Bae, Jiook Cha

CoRR, October, 2025

It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles.

Junghoon Justin Park, Huan-Hsin Tseng, Shinjae Yoo, Samuel Yen-Chi Chen, Jiook Cha

CoRR, September, 2025

Resting-state fMRI Analysis using Quantum Time-series Transformer.

Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Jiook Cha, Shinjae Yoo

CoRR, September, 2025

DIVER-0 : A Fully Channel Equivariant EEG Foundation Model.

Danny Dongyeop Han, Ahhyun Lucy Lee, Taeyang Lee, Yonghyeon Gwon, Sebin Lee, Seongjin Lee, David Keetae Park, Shinjae Yoo, Jiook Cha, Chun Kee Chung

CoRR, July, 2025

Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles.

Junghoon Justin Park, Jiook Cha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo

CoRR, May, 2025

Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications.

Sangyoon Bae, Junbeom Kwon, Shinjae Yoo, Jiook Cha

CoRR, March, 2025

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding.

Juhyeon Park, Peter Yongho Kim, Jiook Cha, Shinjae Yoo, Taesup Moon

CoRR, March, 2025

Mind the Gap: Aligning the Brain with Language Models Requires a Nonlinear and Multimodal Approach.

Danny Dongyeop Han, Yunju Cho, Jiook Cha, Jay-Yoon Lee

CoRR, February, 2025

Simulated virtual reality experiences for predicting early treatment response in panic disorder.

Byung-Hoon Kim, Jae-Jin Kim, Junhyung Kim, Jiook Cha, Sang-Won Jeon, Kang-Seob Oh, Dong-Won Shin, Sung Joon Cho

Frontiers Digit. Health, 2025

2024

Macro2Micro: Cross-modal Magnetic Resonance Imaging Synthesis Leveraging Multi-scale Brain Structures.

Sooyoung Kim, Joonwoo Kwon, Junbeom Kwon, Sangyoon Bae, Yuewei Lin, Shinjae Yoo, Jiook Cha

CoRR, 2024

Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI.

Patrick Styll, Dowon Kim, Jiook Cha

CoRR, 2024

Revisiting Your Memory: Reconstruction of Affect-Contextualized Memory via EEG-guided Audiovisual Generation.

Joonwoo Kwon, Heehwan Wang, Jinwoo Lee, Sooyoung Kim, Shinjae Yoo, Yuewei Lin, Jiook Cha

CoRR, 2024

A Training-Free Approach for Music Style Transfer with Latent Diffusion Models.

Sooyoung Kim, Joonwoo Kwon, Heehwan Wang, Shinjae Yoo, Yuewei Lin, Jiook Cha

CoRR, 2024

Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning.

Junghoon Park, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning.

William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo

Proceedings of the IEEE International Conference on Acoustics, 2024

AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer.

Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SwiFT: Swin 4D fMRI Transformer.

Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Machine learning prediction of incidence of Alzheimer's disease using large-scale administrative health data.

Ji Hwan Park, Han Eol Cho, Jong Hun Kim, Melanie M. Wall, Yaakov Stern, Hyunsun Lim, Shinjae Yoo, Hyoung Seop Kim, Jiook Cha

npj Digit. Medicine, 2020

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI.

Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2020

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis.

Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2020

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer's Disease Diagnosis from MRI.

Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D distributed deep learning framework for prediction of human intelligence from brain MRI.

Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2014

The fine line between 'brave' and 'reckless': Amygdala reactivity and regulation predict recognition of risk.

Lilianne R. Mujica-Parodi, Joshua M. Carlson, Jiook Cha, Denis Rubin

NeuroImage, 2014

Small-world network properties in prefrontal cortex correlate with predictors of psychopathology risk in young children: A NIRS study.

Tomer Fekete, Felix D. C. C. Beacher, Jiook Cha, Denis Rubin, Lilianne R. Mujica-Parodi

NeuroImage, 2014