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ORCIDStephen Baek
Person information
- affiliation: University of Iowa, Department of Industrial and System Engineering, Iowa City, IA, USA
- affiliation (PhD 2013): Seoul National University, School of Mechanical and Aerospace Engineering, South Korea
Other persons with the same name
- Seung-Yeob Baek 0002 — Samsung Electronics, Hwaseong, South Korea
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2020 – today
- 2024
[j20]Thao Thi Ho
, Minh Tam Tran, Xinguang Cui, Ching-Long Lin, Stephen Baek, Woojin Kim, Chang Hyun Lee, Gong Yong Jin, Kum Ju Chae, Sanghun Choi:
Human-airway surface mesh smoothing based on graph convolutional neural networks. Comput. Methods Programs Biomed. 246: 108061 (2024)- [c8]Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek:
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling. ICML 2024 - [i19]Jacob K. Christopher, Stephen Baek, Ferdinando Fioretto:
Projected Generative Diffusion Models for Constraint Satisfaction. CoRR abs/2402.03559 (2024) - [i18]Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar, Pradeep K. Seshadri, Yen Thi Nguyen, Munho Kim, Sanghun Choi, H. S. Udaykumar, Stephen Baek:
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling. CoRR abs/2402.12503 (2024) - [i17]Brianna Mueller, W. Nick Street, Stephen Baek, Qihang Lin, Jingyi Yang, Yankun Huang:
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning. CoRR abs/2410.14075 (2024) - 2023
- [j19]Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek:
Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling. J. Comput. Inf. Sci. Eng. 23(6) (2023) - [j18]Dat Hong, Tong Wang, Stephen Baek:
ProtoryNet - Interpretable Text Classification Via Prototype Trajectories. J. Mach. Learn. Res. 24: 264:1-264:39 (2023) - [c7]Negin Moghadasi, Misagh Piran, Stephen Baek, Rupa S. Valdez, Michael D. Porter, DeAndre A. Johnson, James H. Lambert:
Systems Analysis of Bias and Risk in AI-Enabled Medical Diagnosis. SSCI 2023: 1800-1807 - [i16]Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek:
Challenges and opportunities for machine learning in multiscale computational modeling. CoRR abs/2303.12261 (2023) - 2022
- [j17]Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang:
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43(1): 93-104 (2022) - [c6]Alec Diaz-Arias, Dmitriy Shin, Mitchell Messmore, Stephen Baek:
On the Role of Depth Predictions for 3D Human Pose Estimation. FTC (1) 2022: 230-247 - [i15]Phong C. H. Nguyen, Joseph B. Choi, Yen Thi Nguyen, Pradeep K. Seshadri, H. S. Udaykumar, Stephen Baek:
Physics-Aware Recurrent Convolutional (PARC) Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials. CoRR abs/2204.07234 (2022) - [i14]Yankun Huang, Qihang Lin, W. Nick Street, Stephen Baek:
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization. CoRR abs/2207.10751 (2022) - [i13]Phong C. H. Nguyen, Yen Thi Nguyen, Pradeep K. Seshadri, Joseph B. Choi, H. S. Udaykumar, Stephen Baek:
A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials. CoRR abs/2211.04561 (2022) - [i12]Joseph B. Choi, Phong C. H. Nguyen, Oishik Sen, H. S. Udaykumar, Stephen Baek:
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions. CoRR abs/2211.08179 (2022) - 2021
- [j16]Jerome Charton, Stephen Baek, Youngjun Kim:
Mesh repairing using topology graphs. J. Comput. Des. Eng. 8(1): 251-267 (2021) - [j15]Venous Roshdibenam, Gerald J. Jogerst, Nicholas R. Butler, Stephen Baek:
Machine Learning Prediction of Fall Risk in Older Adults Using Timed Up and Go Test Kinematics. Sensors 21(10): 3481 (2021) - [i11]Alec Diaz-Arias, Mitchell Messmore, Dmitriy Shin, Stephen Baek:
On the role of depth predictions for 3D human pose estimation. CoRR abs/2103.02521 (2021) - 2020
- [j14]Zhiyu Sun, Ethan Rooke, Jerome Charton, Yusen He, Jia Lu, Stephen Baek:
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation. Comput. Graph. Forum 39(6): 204-216 (2020) - [j13]Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek:
Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks. J. Comput. Des. Eng. 7(1): 18-29 (2020) - [i10]Sehyun Chun, Sidhartha Roy, Yen Thi Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen S. Baek:
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials. CoRR abs/2004.04814 (2020) - [i9]Dat Hong, Stephen S. Baek, Tong Wang:
Interpretable Sequence Classification Via Prototype Trajectory. CoRR abs/2007.01777 (2020)
2010 – 2019
- 2019
- [j12]Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek:
Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network. IEEE Trans. Emerg. Top. Comput. Intell. 3(2): 127-136 (2019) - [c5]Sehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi, Chris Schwarz, John G. Gaspar, Daniel V. McGehee, Stephen S. Baek:
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks. ICCV Workshops 2019: 2413-2421 - [i8]Stephen Baek, Yusen He, Bryan G. Allen, John M. Buatti, Brian J. Smith, Kristin A. Plichta, Steven N. Seyedin, Maggie Gannon, Katherine R. Cabel, Yusung Kim, Xiaodong Wu:
What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival. CoRR abs/1903.11593 (2019) - [i7]Nima Hamidi, Mohsen Vahidzadeh, Stephen Baek:
Multi-scale Embedded CNN for Music Tagging (MsE-CNN). CoRR abs/1906.06746 (2019) - [i6]Sehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi, Chris Schwarz, John G. Gaspar, Daniel V. McGehee, Stephen S. Baek:
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks. CoRR abs/1910.03695 (2019) - [i5]Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse:
Incremental ELMVIS for unsupervised learning. CoRR abs/1912.08638 (2019) - 2018
- [j11]Andrey Gritsenko, Anton Akusok, Stephen Baek, Yoan Miche, Amaury Lendasse:
Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables. Cogn. Comput. 10(3): 464-477 (2018) - [c4]Siyeop Yoon, Stephen Baek, Deukhee Lee:
4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration. STACOM@MICCAI 2018: 161-170 - [i4]Zhiyu Sun, Jia Lu, Stephen Baek:
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks. CoRR abs/1806.07441 (2018) - [i3]Zhiyu Sun, Jia Lu, Stephen Baek:
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation. CoRR abs/1812.01082 (2018) - 2017
- [i2]Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek:
Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks. CoRR abs/1710.06368 (2017) - [i1]Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek:
A Deep Learning Framework for Short-term Power Load Forecasting. CoRR abs/1711.11519 (2017) - 2016
- [j10]Seung-Yeob Baek, Kunwoo Lee:
Statistical foot-shape analysis for mass-customisation of footwear. Int. J. Comput. Aided Eng. Technol. 8(1/2): 80-98 (2016) - [j9]Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse:
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing 205: 247-263 (2016) - [c3]Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse:
Combined nonlinear visualization and classification: ELMVIS++C. IJCNN 2016: 2617-2624 - 2015
- [j8]Seung-Yeob Baek, Jeonghun Lim, Kunwoo Lee:
Isometric shape interpolation. Comput. Graph. 46: 257-263 (2015) - [j7]Jisoon Park, Taewon Kim, Seung-Yeob Baek, Kunwoo Lee:
An algorithm for estimating surface normal from its boundary curves. J. Comput. Des. Eng. 2(1): 67-72 (2015) - 2014
- [j6]JunBong Song, Sungmin Cho, Seung-Yeob Baek, Kunwoo Lee, Hyunwoo Bang:
GaFinC: Gaze and Finger Control interface for 3D model manipulation in CAD application. Comput. Aided Des. 46: 239-245 (2014) - [j5]Sungmin Cho, Dongyoub Baek, Seung-Yeob Baek, Kunwoo Lee, Hyunwoo Bang:
3D Volume Drawing on a Potter's Wheel. IEEE Computer Graphics and Applications 34(3): 50-58 (2014) - [c2]Jin Hyeok Choi, Seung-Yeob Baek, Youngjun Kim, Tae-Geun Son, Se Hyung Park, Kunwoo Lee:
Automatic Detection of Inferior Alveolar Nerve Canal from Cone-Beam Computed Tomography Images for Dental Surgery Planning. MMVR 2014: 61-65 - 2013
- [j4]Seung-Yeob Baek, Joon-Ho Wang, Insub Song, Kunwoo Lee, Jehee Lee, Seungbum Koo:
Automated bone landmarks prediction on the femur using anatomical deformation technique. Comput. Aided Des. 45(2): 505-510 (2013) - [j3]Seung-Yeob Baek, Kunwoo Lee:
Parametric human body modelling system for virtual garment fitting. Int. J. Comput. Aided Eng. Technol. 5(2/3): 242-261 (2013) - 2012
- [j2]Seung-Yeob Baek, Kunwoo Lee:
Parametric human body shape modeling framework for human-centered product design. Comput. Aided Des. 44(1): 56-67 (2012) - 2010
- [j1]Jin Hyeok Choi, Sung-Woo Park, Seung-Yeob Baek, Kunwoo Lee:
Evaluation of handheld products by computing user hand fatigue. Simul. Model. Pract. Theory 18(2): 230-239 (2010)
2000 – 2009
- 2009
- [c1]Seung-Yeob Baek, Byoung-Youn Kim, Kunwoo Lee:
3D face model reconstruction from single 2D frontal image. VRCAI 2009: 95-101
Coauthor Index
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