Hyojin Kim - RankMe

34 papers A* 4A 4B 3Misc 1Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data. IEEE Trans. Vis. Comput. Graph. Xuan Huang, Haichao Miao, Hyojin Kim, Andrew Townsend, Kyle Champley, Joseph W. Tringe, Valerio Pascucci, Peer-Timo Bremer
2025	J	`jnl`	Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction. IEEE Trans. Computational Imaging K. Aditya Mohan, Massimiliano Ferrucci, Chuck Divin, Garrett A. Stevenson, Hyojin Kim
2024	J	`jnl`	Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data. CoRR Xuan Huang, Haichao Miao, Hyojin Kim, Andrew Townsend, Kyle Champley, Joseph W. Tringe, Valerio Pascucci, Peer-Timo Bremer
2024	J	`jnl`	Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction. CoRR K. Aditya Mohan, Massimiliano Ferrucci, Chuck Divin, Garrett A. Stevenson, Hyojin Kim
2023	J	`jnl`	Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-Based Featurization Method. J. Chem. Inf. Model. Garrett A. Stevenson, Dan Kirshner, Brian J. Bennion, Yue Yang, Xiaohua Zhang, Adam T. Zemla, Marisa W. Torres, Aidan Epstein, Derek Jones, Hyojin Kim, W. F. Drew Bennett, Sergio Ernesto Wong, Jonathan E. Allen, Felice C. Lightstone
2023	A*	`conf`	DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction. ICCV Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim
2023	J	`jnl`	Differentiable Forward Projector for X-ray Computed Tomography. CoRR Hyojin Kim, Kyle Champley
2022	J	`jnl`	DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction. CoRR Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim
2022	J	`jnl`	Pose Classification Using Three-Dimensional Atomic Structure-Based Neural Networks Applied to Ion Channel-Ligand Docking. J. Chem. Inf. Model. Heesung Shim, Hyojin Kim, Jonathan E. Allen, Heike Wulff
2021	A*	`conf`	Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields. ICCV Albert W. Reed, Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley, Jingu Kang, Suren Jayasuriya
2021	J	`jnl`	High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models. CoRR Garrett A. Stevenson, Derek Jones, Hyojin Kim, W. F. Drew Bennett, Brian J. Bennion, Monica Borucki, Feliza Bourguet, Aidan Epstein, Magdalena Franco, Brooke Harmon, Stewart He, Max P. Katz, Daniel A. Kirshner, Victoria Lao, Edmond Y. Lau, Jacky Lo, Kevin McLoughlin, Richard Mosesso, Deepa K. Murugesh, Oscar A. Negrete, Edwin A. Saada, Brent Segelke, Maxwell Stefan, Marisa W. Torres, Dina Weilhammer, Sergio Ernesto Wong, Yue Yang, Adam T. Zemla, Xiaohua Zhang, Fangqiang Zhu, Felice C. Lightstone, Jonathan E. Allen
2021	A	`conf`	High-throughput virtual screening of small molecule inhibitors for SARS-CoV-2 protein targets with deep fusion models. SC Garrett A. Stevenson, Derek Jones, Hyojin Kim, W. F. Drew Bennett, Brian J. Bennion, Monica Borucki, Feliza Bourguet, Aidan Epstein, Magdalena Franco, Brooke Harmon, Stewart He, Max P. Katz, Daniel A. Kirshner, Victoria Lao, Edmond Y. Lau, Jacky Lo, Kevin McLoughlin, Richard Mosesso, Deepa K. Murugesh, Oscar A. Negrete, Edwin A. Saada, Brent Segelke, Maxwell Stefan, Marisa W. Torres, Dina Weilhammer, Sergio Ernesto Wong, Yue Yang, Adam T. Zemla, Xiaohua Zhang, Fangqiang Zhu, Felice C. Lightstone, Jonathan E. Allen
2021	J	`jnl`	Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. J. Chem. Inf. Model. Derek Jones, Hyojin Kim, Xiaohua Zhang, Adam T. Zemla, Garrett Stevenson, W. F. Drew Bennett, Daniel A. Kirshner, Sergio Ernesto Wong, Felice C. Lightstone, Jonathan E. Allen
2020	Misc	`conf`	A Visualization System for Performance Analysis of Image Classification Models. Visualization and Data Analysis Chanhee Park, Hyojin Kim, Kyungwon Lee
2020	J	`jnl`	Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. CoRR Derek Jones, Hyojin Kim, Xiaohua Zhang, Adam T. Zemla, Garrett Stevenson, William D. Bennett, Dan Kirshner, Sergio Ernesto Wong, Felice C. Lightstone, Jonathan E. Allen
2020	J	`jnl`	Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge. J. Chem. Inf. Model. Anna M. Hiszpanski, Brian Gallagher, Karthik Chellappan, Peggy Li, Shusen Liu, Hyojin Kim, Jinkyu Han, Bhavya Kailkhura, David J. Buttler, Thomas Yong-Jin Han
2020	J	`jnl`	Predicting Small Molecule Transfer Free Energies by Combining Molecular Dynamics Simulations and Deep Learning. J. Chem. Inf. Model. W. F. Drew Bennett, Stewart He, Camille L. Bilodeau, Derek Jones, Delin Sun, Hyojin Kim, Jonathan E. Allen, Felice C. Lightstone, Helgi I. Ingólfsson
2019	A	`conf`	Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. WACV Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat
2019	J	`jnl`	Extreme Few-view CT Reconstruction using Deep Inference. CoRR Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley
2019	J	`jnl`	Improving Limited Angle CT Reconstruction with a Robust GAN Prior. CoRR Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley
2019	A	`conf`	Learning to Focus and Track Extreme Climate Events. BMVC Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo
2018	—	`conf`	Facial Expression Recognition Using a Large Out-of-Context Dataset. WACV Workshops Elizabeth Tran, Michael B. Mayhew, Hyojin Kim, Piyush Karande, Alan David Kaplan
2018	A*	`conf`	Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion. CVPR Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Timo Bremer
2017	J	`jnl`	Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion. CoRR Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan, Kyle Champley, Peer-Timo Bremer
2016	B	`conf`	Dude (Duality descriptor): A robust descriptor for disparate images using line segment duality. ICIP Youngwook Paul Kwon, Hyojin Kim, Goran Konjevod, Sara McMains
2016	—	`conf`	Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data. Computer-Aided Diagnosis Rushil Anirudh, Jayaraman J. Thiagarajan, Timo Bremer, Hyojin Kim
2015	A*	`conf`	A Randomized Ensemble Approach to Industrial CT Segmentation. ICCV Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2015	—	`conf`	LBANN: livermore big artificial neural network HPC toolkit. MLHPC@SC Brian Van Essen, Hyojin Kim, Roger A. Pearce, Kofi Boakye, Barry Chen
2015	A	`conf`	Optimization of Plane Fits to Image Segments in Multi-view Stereo. WACV Nelson L. Max, Hyojin Kim
2014	B	`conf`	Automatic registration of LiDAR and optical imagery using depth map stereo. ICCP Hyojin Kim, Carlos D. Correa, Nelson L. Max
2014	B	`conf`	Image segmentation using consensus from hierarchical segmentation ensembles. ICIP Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer
2012	—	`conf`	GPU-friendly Multi-view Stereo for Outdoor Planar Scene Reconstruction. VISAPP (2) Hyojin Kim, Quinn Hunter, Mark A. Duchaineau, Kenneth I. Joy, Nelson L. Max
2012	—	`conf`	Live capture, rectification, and streaming of stereoscopic internet video for casual users. 3DTV-Conference M. Scott Bishop, Hyojin Kim, Viswanathan Swaminathan
2012	—	`conf`	Piecewise Planar Scene Reconstruction and Optimization for Multi-view Stereo. ACCV (4) Hyojin Kim, Hong Xiao, Nelson L. Max