RESEARCH
OVERVIEW
The whole system requires some combination of the following components:
The recall component, which would be responsible for activating and re-generating specific memories when needed. This component would likely use algorithms and neural network architectures that are specifically designed to activate and re-generate specific memories based on input data and context, such as generative adversarial networks.
The vision component, which would be responsible for processing and interpreting visual data, such as images and video. This component would likely use neural network architectures that are specifically designed to process and understand visual data, such as convolutional neural networks and transformer architectures.
The space component, which would be responsible for processing and understanding data that is associated with specific locations or spatial configurations. This component would likely include methods for visual localization or SLAM, which could be useful for tasks such as navigation, object recognition, and scene understanding.
The context component, which would be responsible for incorporating contextual information, such as time and location, into the recall process. This component would likely use algorithms and neural network architectures that are specifically designed to incorporate and use contextual information, such as graph neural networks.
The federation component, which would be responsible for enabling the various devices or subsystems that make up the whole system to collaboratively learn a shared generative model while keeping their training data local, using algorithms and protocols for federated learning.
The brain component, which would be responsible for understanding how the human brain processes and retrieves memories, and for developing algorithms and neural network architectures that are able to replicate this process in a machine learning system.
PUBLICATIONS
2023
Dongho Ham, Yeongjin Kim, Jeongho Kwak
Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks
IEEE International Conference on Sensing, Communication, and Networking, 2023. (top-tier conf, BK IF 1)
Yeongjin Kim, Pyungjun Choi, Jeong-A Lim, Jeongho Kwak
Dynamic Resource Orchestration for Service Chaining in Cloud-Edge-Radio 5G Networks
IEEE Transactions on Vehicular Technology, 2023. (SCIE, IF 6.239)
Jessica Royer, Sara Larivière; Raul Rodriguez-Cruces; Donna Gift Cabalo; Shahin Tavakol; Hans Auer; Alexander Ngo; Bo-yong Park; Casey Paquola; Jonathan Smallwood; Elizabeth Jefferies; Lorenzo Caciagli; Andrea Bernasconi; Neda Bernasconi; Birgit Frauscher; Boris C Bernhardt
Cortical microstructural gradients capture memory network reorganization in temporal lobe epilepsy
Brain, 2023. (SCIE, IF 15.255)
Seung-Hwan Bae
Deformable Part Region Learning and Feature Aggregation Tree Representation for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (SCIE, IF 24.314)
Seong-Ho Lee, Seung-Hwan Bae
AFI-GAN: Improving feature interpolation of feature pyramid networks via adversarial training for object detection
Pattern Recognition, 2023. (SCIE, IF 8.518)
Ke Xie, Jessica Royer, Sara Lariviere, Raul Rodriguez-Cruces, Reinder Vos de Wael, Bo-yong Park, Hans Auer, Shahin Tavakol, Jordan DeKraker, Chifaou Abdallah, Lorenzo Caciagli, Dani S. Bassett, Andrea Bernasconi, Neda Bernasconi, Birgit Frauscher, Luis Concha, Boris C. Bernhardt
Atypical intrinsic neural timescales in temporal lobe epileps
Epilepsia, 2023. (SCIE, IF 6.740)
Chae Hyeon Lee, Hyunjin Park, Mi Ji Lee, Bo-yong Park
Whole-brain functional gradients reveal cortical and subcortical alterations in patients with episodic migraine
Human Brain Mapping, 2023. (SCIE, IF 5.399)
Geonmo Yang, Juhui Lee, Ayoung Kim, Younggun Cho
Sparse Depth-Guided Image Enhancement Using Incremental GP with Informative Point Selection
Sensors, 2023. (SCIE, IF 3.847)
DongGuw Lee, Myung-Hwan Jeon, Younggun Cho, Ayoung Kim
Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels
Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2023. (top-tier conf, BK IF 1)
Ho Gyun Kim, Kang Gilhwan, Seokhwan Jeong, Seungjun Ma, Younggun Cho
Robust Imaging Sonar-based Place Recognition and Localization in Underwater Environments
Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2023. (top-tier conf, BK IF 1)
SeungJoo Lee, Seokho Ahn, and Young-Duk Seo
Relation Modeling on Knowledge Graph for Interoperability in Recommeder Systems
Proceedings of ACM/SIGAPP Symposium on Applied Computing (SAC), 2023. (top-tier conf, BK IF 1)
S.W. Kim and D.W. Choi
Better Generalized Few-Shot Learning Even Without Base Data
Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2023. (top-tier conf, BK IF 4)
2022
M. D. Hettwer, S. Larivière, B.-y. Park, O. A van den Heuvel, L. Schmaal, O. A. Andreassen, C. R. K. Ching, M. Hoogman, J. Buitelaar, D. van Rooij, D. J. Veltman, D. J Stein, B. Franke, T. G. M. van Erp, ENIGMA ADHD Working Group, ENIGMA Autism Working Group, ENIGMA Bipolar Disorder Working Group, ENIGMA Major Depression Working Group, ENIGMA OCD Working Group, ENIGMA Schizophrenia Working Group, N. Jahanshad, P. M Thompson, S. I Thomopoulos, R. A. I. Bethlehem, B. C Bernhardt, S. B. Eickhoff, and S. L. Valk
Coordinated cortical thickness alterations across six neurodevelopmental and psychiatric disorders
Nature Communications, 2022. (SCIE, IF 17.694)
Choi SH, Park HK, Kim S, Park U, Kang SW, Jeong JH, Moon SY, Hong CH, Song HS, Chun BO, Lee SM, Choi M, Park KW, Kim BC, Cho SH, Na HR, Park YK
Frontiers in Aging Neuroscience, 2022. (SCIE, IF 5.702)
Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa, Seung-Hwan Bae, Chang Mook Kang, Jinkyu Lee and Hyeongboo Baek
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks
IEEE Real Time Systems Symposium (RTSS), 2022. (top-tier conf, BK IF 4)
Joohyun Park, Younggun Cho, and Young-Sik Shin
Nonparametric Background Model-Based LiDAR SLAM in Highly Dynamic Urban Environments
IEEE Transactions on Intelligent Transportation Systems, 2022. (SCIE, IF 9.551)
Raúl R.Cruces, Jessica Royer, Peer Herholz, Sara Larivière, Reinder Vos de Wael, Casey Paquola, Oualid Benkarim, Bo-yong Park, Janie Degré-Pelletier, Mark C.Nelson, Jordan DeKraker, Ilana R.Leppert, Christine Tardif, Jean-Baptiste Poline, Luis Concha, Boris C. Bernhardt
Micapipe: A pipeline for multimodal neuroimaging and connectome analysis
NeuroImage, 2022. (SCIE, IF 7.4)
Bo-yong Park, Valeria Kebets, Sara Larivière, Meike D. Hettwer, Casey Paquola, Daan van Rooij, Jan Buitelaar, Barbara Franke, Martine Hoogman, Lianne Schmaal, Dick J. Veltman, Odile A. van den Heuvel, Dan J. Stein, Ole A. Andreassen, Christopher R. K. Ching, Jessica A. Turner, Theo G. M. van Erp, Alan C. Evans, Alain Dagher, Sophia I. Thomopoulos, Paul M. Thompson, Sofie L. Valk, Matthias Kirschner, Boris C. Bernhardt
Communications Biology, 2022. (SCIE, IF 6.548)
Jessica Royer, Raúl Rodríguez-Cruces, Shahin Tavakol, Sara Larivière, Peer Herholz, Qiongling Li, Reinder Vos de Wael, Casey Paquola, Oualid Benkarim, Bo-yong Park, Alexander J. Lowe, Daniel Margulies, Jonathan Smallwood, Andrea Bernasconi, Neda Bernasconi, Birgit Frauscher, Boris C. Bernhardt
An open MRI dataset for multiscale neuroscience
Scientific Data, 2022. (SCIE, IF 8.501)
K. Lee, J. Kim, J. Kwak, and Y. Kim
Dynamic Multi-Resource Optimization for Storage Acceleration in Cloud Storage Systems
IEEE Transactions on Services Computing (TSC), 2022. (SCIE, IF 11.019)
H.J. Choi and D.W. Choi
Attractive and Repulsive Training to Address Inter-Task Forgetting Issues in Continual Learning
Neurocomputing, 2022. (SCIE, IF 5.719)
B. Y. Park, C. Paquola, R. A. I. Bethlehem, O. Benkarim, Neuroscience in Psychiatry Network (NSPN) Consortium, B. Mišić, J. Smallwood, E. T. Bullmore, and B. C. Bernhardt
PNAS, 2022. (SCIE, IF 12.779)
M. J. Lee, B. Y. Park, S. Cho, S. Kim, H. Park, S. T. Kim, and C. S. Chung
Journal of Cerebral Blood Flow and Metabolism, 2022. (SCIE, IF 6.96)