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.
Haneol Kang, Dong-Wan Choi
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
The 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. (top-tier conf, BK IF 4)
Hyunjune Shin, Dong-Wan Choi
Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation
The 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. (top-tier conf, BK IF 4)
Bo-yong Park, Oualid Benkarim, Clara F. Weber, Valeria Kebets, Serena Fett, Seulki Yoo, Adriana Di Martino, Michael P. Milham, Bratislav Misic, Sofie L. Valk, Seok-Jun Hong, Boris C. Bernhardt
Connectome-wide structure-function coupling models implicate polysynaptic alterations in autism
NeuroImage, 2024. (SCIE IF 4.7)
Hyoungshin Choi, Kyoungseob Byeon, Jong-eun Lee, Seok-Jun Hong, Bo-yong Park, Hyunjin Park
Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning
Human Brain Mapping, 2024. (SCIE IF 3.5)
Yurim Jang, Hyoungshin Choi, Seulki Yoo, Hyunjin Park, Bo-yong Park
Structural connectome alterations between individuals with autism and neurotypical controls using feature representation learning
Behavioral and Brain Functions, 2024. (SCIE IF 4.7)
Seulki Yoo, Yurim Jang, Seok-Jun Hong, Hyunjin Park, Sofie L. Valk, Boris C. Bernhardt, Bo-yong Park
Whole-brain structural connectome asymmetry in autism
NeuroImage, 2024. (SCIE IF 4.7)
Jong Young Namgung, Yeongjun Park, Yunseo Park, Chae Yeon Kim, Bo-yong Park
Diffusion time-related structure-function coupling reveals differential association with inter-individual variations in body mass index
NeuroImage, 2024. (SCIE IF 4.7)
Yeongjun Park, Mi Ji Lee, Seulki Yoo, Chae Yeon Kim, Jong Young Namgung, Yunseo Park, Hyunjin Park, Eun-Chong Lee, Yeo Dong Yoon, Casey Paquola, Boris C. Bernhardt, Bo-yong Park
GAN-MAT: Generative adversarial network-based microstructural profile covariance analysis toolbox
NeuroImage, 2024. (SCIE IF 4.7)
Pyeongjun Choi, Dongho Ham, Yeongjin Kim, Jeongho Kwak
VisionScaling: Dynamic Deep Learning Model and Resource Scaling in Mobile Vision Applications
IEEE Internet of Things Journal, 2024. (SCIE IF 10.6)
Seokho Ahn, Hyungjin Kim, Euijong Lee, Young-Duk Seo
SenDaL: An Effective and Efficient Calibration Framework of Low-cost Sensors for Daily Life
IEEE Internet of Things Journal, 2024. (SCIE IF 10.6)
Junhyuk Kwon, Seokho Ahn, Young-Duk Seo
RecKG: Knowledge Graph for Recommender Systems
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024. (top-tier conf, BK IF 1)
Sara Larivière, Sara Larivière, Bo-yong Park, Jessica Royer, Jordan DeKraker, Alexander Ngo, Ella Sahlas, Judy Chen, Raúl Rodríguez-Cruces, Yifei Weng, Birgit Frauscher, Ruoting Liu, Zhengge Wang, Golia Shafiei, Bratislav Mišić, Andrea Bernasconi, Neda Bernasconi, Michael D Fox, Zhiqiang Zhang, Boris C Bernhardt
Connectome reorganization associated with temporal lobe pathology and its surgical resection
Brain, 2024. (SCIE IF 10.6)
Sunghun Kim, Seulki Yoo, Ke Xie, Jessica Royer, Sara Larivière, Kyoungseob Byeon, Jong Eun Lee, Yeongjun Park, Sofie L. Valk, Boris C. Bernhardt, Seok-Jun Hong, Hyunjin Park, Bo-yong Park
Comparison of different group-level templates in gradient-based multimodal connectivity analysis
Network Neuroscience, 2024. (SCIE IF 3.6)
Jooyong Park, Jungwoo Lee, Euncheol Choi, Younggun Cho
Salience-guided Ground Factor for Robust Localization of Delivery Robots in Complex Urban Environments
IEEE International Conference on Robotics and Automation (ICRA), 2024. (top-tier conf, BK IF 1)
Shinwon Park, Koen V. Haak, Stuart Oldham, Hanbyul Cho, Kyoungseob Byeon, Bo-yong Park, Phoebe Thomson, Haitao Chen, Wei Gao, Ting Xu, Sofie Valk, Michael P. Milham, Boris Bernhardt, Adriana Di Martino & Seok-Jun Hong
A shifting role of thalamocortical connectivity in the emergence of cortical functional organization
Nature Neuroscience, 2024. (SCIE IF 21.2)
Eunchan Noh, Jong Young Namgung, Yeongjun Park, Yurim Jang, Mi Ji Lee, Bo-yong Park
Shifts in structural connectome organization in the limbic and sensory systems of patients with episodic migraine
Journal of Headache and Pain, 2024. (SCIE IF 7.3)
Julie Ottoy, Min Su Kang, Jazlynn Xiu Min Tan, Lyndon Boone, Reinder Vos de Wael, Bo-yong Park, Gleb Bezgin, Firoza Z. Lussier, Tharick A. Pascoal, Nesrine Rahmouni, Jenna Stevenson, Jaime Fernandez Arias, Joseph Therriault, Seok-Jun Hong, Bojana Stefanovic, JoAnne McLaurin, Jean-Paul Soucy, Serge Gauthier, Boris C. Bernhardt, Sandra E. Black, Pedro Rosa-Neto, Maged Goubran
Tau follows principal axes of functional and structural brain organization in Alzheimer’s disease
Nature Communications, 2024. (SCIE IF 14.7)
Yunseo Park, Jong Young Namgung, Chae Yeon Kim, Yeongjun Park, Bo-yong Park
Differences in cortical microstructure according to body mass index in neurologically healthy populations using structural magnetic resonance imaging
Heliyon, 2024. (SCIE IF 3.4)
Yongmoon Park, Kyungtae Lee, Minseok Choi, Yeongjin Kim
Proactive Content Caching via Interplay Between Deep Learning and Stochastic Optimization
IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS), 2024. (top-tier conf, BK IF 1)
Sewook Oh, Sunghun Kim , Jong-eun Lee, Bo-yong Park, Ji Hye Won, Hyunjin Park
Multimodal analysis of disease onset in Alzheimer’s disease using Connectome, Molecular, and genetics data
NeuroImage-Clinical, 2024. (SCIE IF 3.4)
Chae Yeon Kim, Yunseo Park, Jong Young Namgung, Yeongjun Park, Bo-yong Park
The macroscale routing mechanism of structural brain connectivity related to body mass index
Human Brain Mapping, 2024. (SCIE IF 3.5)
Ho Gyun Kim, Jiwon Choi, Taehu Sim, Giseop Kim, Younggun Cho
Narrowing your FOV with SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV-constrained LiDAR Place Recognition
IEEE Robotics and Automation Letters, 2024. (SCIE IF 4.6)
Clara F. Weber, Valeria Kebets, Oualid Benkarim, Sara Lariviere, Yezhou Wang, Alexander Ngo, Hongxiu Jiang, Xiaoqian Chai, Bo-yong Park, Michael P. Milham, Adriana Di Martino, Sofie Valk, Seok-Jun Hong & Boris C. Bernhardt
Contracted functional connectivity profiles in autism
Molecular Autism, 2024. (SCIE IF 6.3)
Hogyun Kim, Byunghee Choi, Euncheol Choi, Younggun Cho
ReFeree: Radar-Based Lightweight and Robust Localization Using Feature and Free space
IEEE Robotics and Automation Letters, 2024. (SCIE IF 4.6)
Kyungtae Lee, Yeongjin Kim
Online Pricing and Resource Scheduling for Profit Maximization of Cloud Storage Providers
IEEE Transactions on Cloud Computing, 2024. (SCIE IF 5.3)
Jeong-A Lim, Joohyun Lee, Jeongho Kwak, Yeongjin Kim
Cutting-Edge Inference: Dynamic DNN Model Partitioning and Resource Scaling for Mobile AI
IEEE Transactions on Services Computing, 2024. (SCIE IF 5.5)
Jae-Yong Baek, Yong-Sang Yoo, Seung-Hwan Bae
A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
Neural Information Processing Systems (NeurIPS), 2024. (top-tier conf, BK IF 4)
Sunghun Kim, Mansu Kim, Jong-eun Lee, Bo-yong Park, Hyunjin Park
Prognostic model for predicting Alzheimer’s disease conversion using functional connectome manifolds
Alzheimer's Research & Therapy, 2024. (SCIE IF 7.9)
Myung-Hoon Han, Seong Hye Choi, Kwon HS, Hwang M, Park HH, Jeong JH, Park KW, Kim EJ, Yoon SJ, Yoon B, Jang JW, Hong JY, Koh SH
Association between osteoporosis and the rate of telomere shortening
Aging, 2024. (SCIE IF 5.2)
Jong Young Namgung, Jongmin Mun, Yeongjun Park, Jaeoh Kim, Bo-yong Park
Sex differences in autism spectrum disorder using class imbalance adjusted functional connectivity
NeuroImage, 2024. (SCIE IF 4.7)
Geonmo Yang, Younggun Cho
TRIDENT: Efficient Triple-Task Learning of Dehazing, Depth and Uncertainty Estimation for Underwater 3D Robot Visual Perception
IEEE Sensors Journal, 2024. (SCIE IF 4.3)
Hyuk Sung Kwon, Ji Young Kim; Seong-Ho Koh; Seong Hye Choi; Eun-Hye Lee; Jee Hyang Jeong; Jae-Won Jang; KyungWon Park; Eun-Joo Kim; Jin Yong Hong; Soo Jin Yoon; Bora Yoon; Hyun-Hee Park; Myung Hoon Han
Predicting cognitive stage transition using p-tau181, Centiloid, and other measures
Alzheimer's & Dementia, 2023. (SCIE, IF 16.655)
Cindy W. Yoon, Jonguk Kim, Young Ju Suh, Byeong C. Kim, Young Chul Youn, Jee Hyang Jeong Hyun Jeong Han, Seong Hye Choi
Angiotensin-converting enzyme insertion/deletion gene polymorphism and the progression of cerebral microbleeds
Frontiers in Neurology, 2023. (SCIE, IF 4.086)
Hyuk Sung Kwon, Eun-Hye Lee, Hyung-Ji Kim, So-Hee Park, Hyun-Hee Park, Jee Hyang Jeong, Seong-Ho Koh, Seong Hye Choi, Jae-Hong Lee
Predicting amyloid PET positivity using plasma p-tau181 and other blood-based biomarkers
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023. (SCIE, IF 5.3)
Eun Hye Lee, Geon Ha Kim, Hee Kyung Park, Hae Jin Kang, Yoo Kyoung Park, Hye Ah Lee, Chang Hyung Hong, So Young Moon, Woorim Kang, Hyun-Seok Oh, Hai-Jeon Yoon, Seong Hye Choi, Jee Hyang Jeong
Effects of the multidomain intervention with nutritional supplements on cognition and gut microbiome in early symptomatic Alzheimer's disease: a randomized controlled trial
Front Aging Neurosci, 2023. (SCIE, IF 5.702)
Geonmo Yang, Gilhwan Kang, Juhui Lee, Younggun Cho
Joint-ID: Transformer-based Joint Image Enhancement and Depth Estimation for Underwater Environments
IEEE Sensors Journal, 2023. (SCIE, IF 4.3)
Yoonsun Yang, Bo-yong Park
Differences in structural connectome organization across sleep quality
Heliyon, 2023. (SCIE, IF 4.0)
Myung-Hoon, Han Eun-Hye Lee, Hyun-Hee Park Seong Hye Choi , Seong-Ho Koh
Relationship between telomere shortening and early subjective depressive symptoms and cognitive complaints in older adults
Aging, 2023. (SCIE, IF 5.955)
Sofie Louise Valk Philipp Kanske, Bo-yong Park, Seok-Jun Hong, Anne Böckler, Fynn-Mathis Trautwein, Boris C Bernhardt, Tania Singer
Functional and microstructural plasticity following social and interoceptive mental training
eLife, 2023. (SCIE, IF 7.7)
Yu Zhao, Yeongjin Kim, Joohyun Lee
SOQ: Structural Reinforcement Learning for Constrained Delay Minimization with Channel State Information
IEEE Internet of Things Journal, 2023. (SCIE, IF 10.6)
Seong-Ho Lee, Dae-Hyeon Park, Seung-Hwan Bae
Decode-MOT: How Can We Hurdle Frames to Go Beyond Tracking-by-Detection
IEEE Transactions on Image Processing, 2023. (SCIE, IF 10.6)
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
Network-Compute Co-Optimization 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)
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)