Hyeonjin Kim

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 22

Top Topics

Abdominal Ct Images

Convolutional Neural Networks

Finite Element Analysis

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Multim. Tools Appl.

Publications

Hyeonjin Kim, Kai Ye, Duehee Lee, Ning Lu
A Contextually Supervised Optimization-Based HVAC Load Disaggregation Methodology. IEEE Trans. Smart Grid 15 (4) (2024)
Yi Hu, Hyeonjin Kim, Kai Ye, Ning Lu
Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis. CoRR (2024)
Hyeonjin Kim, Yi Hu, Kai Ye, Ning Lu
A Novel Vision Transformer based Load Profile Analysis using Load Images as Inputs. CoRR (2024)
Yi Hu, Kai Ye, Hyeonjin Kim, Ning Lu
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles. CoRR (2023)
Hyeonjin Kim, William J. Song
LAS: Locality-Aware Scheduling for GEMM-Accelerated Convolutions in GPUs. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Youngin Kim, Hyeonjin Kim, William J. Song
NOMAD: Enabling Non-blocking OS-managed DRAM Cache via Tag-Data Decoupling. HPCA (2023)
Hyeonjin Kim, Kai Ye, Han Pyo Lee, Rongxing Hu, Ning Lu, Di Wu, P. J. Rehm
An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data. ISGT (2023)
Heeyoung Jeong, Hyeonjin Kim, Helen Hong, Dae Chul Jung, Kidon Chang, Koon Ho Rha
Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR images. Medical Imaging: Computer-Aided Diagnosis (2023)
Hyeonjin Kim, Jinhyun Kim
Prediction of Cable Behavior Using Finite Element Analysis Results for Flexible Cables. Sensors 23 (12) (2023)
Hyeonjin Kim, Kai Ye, Han Pyo Lee, Rongxing Hu, Ning Lu, Di Wu, P. J. Rehm
An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data. CoRR (2022)
Kai Ye, Hyeonjin Kim, Yi Hu, Ning Lu, Di Wu, PJ Rehm
A Modified Sequence-to-point HVAC Load Disaggregation Algorithm. CoRR (2022)
Rongxing Hu, Kai Ye, Hyeonjin Kim, Han Pyo Lee, Ning Lu, Di Wu, PJ Rehm
Design Considerations of a Coordinative Demand Charge Mitigation Strategy. CoRR (2022)
Hyeon Dham Yoon, Hyeonjin Kim, Helen Hong
Deep pancreas segmentation through quantification of pancreatic uncertainty on abdominal CT images. Medical Imaging: Computer-Aided Diagnosis (2022)
Hyeonjin Kim, Woobeen Jin, Hyukjoon Lee
mmWave path loss modeling for urban scenarios based on 3D-convolutional neural networks. ICOIN (2022)
Bogil Kim, Sungjae Lee, Chanho Park, Hyeonjin Kim, William J. Song
The Nebula Benchmark Suite: Implications of Lightweight Neural Networks. IEEE Trans. Computers 70 (11) (2021)
Uju Jeon, Hyeonjin Kim, Helen Hong, Joon-Ho Wang
Two-stage meniscus segmentation framework integrating multiclass localization network and adversarial learning-based segmentation network in knee MR images. Medical Imaging: Computer-Aided Diagnosis (2021)
Hyeonjin Kim, Helen Hong, Dae Chul Jung, Kidon Chang, Koon Ho Rha
Renal parenchyma segmentation in abdominal MR images based on cascaded deep convolutional neural network with signal intensity correction. Medical Imaging: Computer-Aided Diagnosis (2021)
Hyeonjin Kim, Helen Hong, Koon Ho Rha
Renal parenchyma segmentation in abdominal CT images based on deep convolutional neural networks with similar atlas selection and transformation. Medical Imaging: Computer-Aided Diagnosis (2020)
Hyeonjin Kim, Sungwoo Ahn, Yunho Oh, Bogil Kim, Won Woo Ro, William J. Song
Duplo: Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores. MICRO (2020)
Hyeonjin Kim, Helen Hong, Kidon Chang, Koon Ho Rha
Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraints. Medical Imaging: Image Processing (2019)
Bonwook Koo, Dongyoung Roh, Hyeonjin Kim, Younghoon Jung, Donggeon Lee, Daesung Kwon
CHAM: A Family of Lightweight Block Ciphers for Resource-Constrained Devices. ICISC (2017)
Hansang Lee, Hyeun A. Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim
Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations. Medical Imaging: Computer-Aided Diagnosis (2016)
Hyeonjin Kim, Hannah Kim, Helen Hong
Chest wall segmentation in automated 3D breast ultrasound using rib shadow enhancement and multi-plane cumulative probability enhanced map. Medical Imaging: Computer-Aided Diagnosis (2015)
Sung-Jong Eun, Hyeonjin Kim, Jung-Wook Park, Taeg Keun Whangbo
Effective object segmentation based on physical theory in an MR image. Multim. Tools Appl. 74 (16) (2015)
Qian Zhang, Sung-Jong Eun, Hyeonjin Kim, Taeg Keun Whangbo
An object recognition method using the improved snake algorithm. ICUIMC (2012)
Hyeonjin Kim, Michael J. Hannafin
Developing situated knowledge about teaching with technology via Web-enhanced Case-based activity. Comput. Educ. 57 (1) (2011)
Hyeonjin Kim
Exploring freshmen preservice teachers' situated knowledge in reflective reports during case-based activities. Internet High. Educ. 14 (1) (2011)
Hyeonjin Kim, Sung-Mo Park, Sang Geun Hahn
On the weight and nonlinearity of homogeneous rotation symmetric Boolean functions of degree 2. Discret. Appl. Math. 157 (2) (2009)
Michael J. Hannafin, Chandra Hawley Orrill, Hyeonjin Kim, Minchi C. Kim
Educational technology research in postsecondary settings: Promise, problems, and prospects. J. Comput. High. Educ. 16 (2) (2005)
Michael J. Hannafin, Minchi C. Kim, Hyeonjin Kim
Reconciling research, theory, and practice in web-based teaching and learning: The case for grounded design. J. Comput. High. Educ. 15 (2) (2004)