Seyoung Kim

Publication Activity (10 Years)

Years Active: 1991-2023
Publications (10 Years): 29

Top Topics

Injection Molding

Neural Network Training

Gaussian Process

Cmos Image Sensor

Top Venues

Publications

Daniel P. Jeong, Seyoung Kim
Factorial SDE for Multi-Output Gaussian Process Regression. AISTATS (2023)
Hyuncheol Kim, Yun Hyeok Kim, Sanghyuck Moon, Hwanwoong Kim, Byeongjun Yoo, Jueun Park, Seyoung Kim, June-Mo Koo, Sewon Seo, Hye Ji Shin, Younghwan Choi, Jinwoo Kim, Kyungil Kim, Jae-Hoon Seo, Seunghyun Lim, Taesub Jung, Howoo Park, Sangil Jung, Juhyun Ko, Kyungho Lee, JungChak Ahn, JoonSeo Yim
A 0.64μm 4-Photodiode 1.28μm 50Mpixel CMOS Image Sensor with 0.98e- Temporal Noise and 20Ke- Full-Well Capacity Employing Quarter-Ring Source-Follower. ISSCC (2023)
Minseong Um, Minil Kang, Hyunjeong Kwak, Kyungmi Noh, Seyoung Kim, Hyung-Min Lee
An ECRAM-Based Analog Compute-in-Memory Neuromorphic System with High-Precision Current Readout. BioCAS (2023)
Seyoung Kim, Seungho Yang, Hyein Lim, Hyein Lee, Jongwook Jeon, Jung Yun Choi, Jaeha Kim
Accurate Layout-Dependent Effect Model in 10 nm-Class DRAM Process Using Area-Efficient Array Test Circuits. IEEE Access 11 (2023)
Seyoung Kim, Joohwan Hong, Yongjae Lee
A GANs-Based Approach for Stock Price Anomaly Detection and Investment Risk Management. ICAIF (2023)
Seyoung Kim, Jaeha Kim
Reachability Analysis for Nonlinear Analog/Mixed-Signal Circuits With Trajectory-Based Reachable Sets. IEEE Access 11 (2023)
Seonmi Kim, Seyoung Kim, Yejin Kim, Junpyo Park, Seongjin Kim, Moolkyeol Kim, Chang Hwan Sung, Joohwan Hong, Yongjae Lee
LLMs Analyzing the Analysts: Do BERT and GPT Extract More Value from Financial Analyst Reports? ICAIF (2023)
Jun Ho Yoon, Seyoung Kim
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation. J. Mach. Learn. Res. 23 (2022)
O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
Neural Network Training with Asymmetric Crosspoint Elements. CoRR (2022)
Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim
Doubly Mixed-Effects Gaussian Process Regression. AISTATS (2022)
O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
Neural Network Training With Asymmetric Crosspoint Elements. Frontiers Artif. Intell. 5 (2022)
Eun Sub Shim, Kyungho Lee, Junghyung Pyo, Wooseok Choi, Jungbin Yun, Taesub Jung, Kyungduck Lee, Seyoung Kim, Chanhee Lee, Seungki Baek, Hyuncheol Kim, Sungsoo Choi, Junseok Yang, Kyoungmok Son, Jongwon Choi, Howoo Park, Bumsuk Kim, JungChak Ahn, Duckhyun Chang
All-Directional Dual Pixel Auto Focus Technology in CMOS Image Sensors. VLSI Circuits (2021)
Chaeun Lee, Seyoung Kim
SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks. CoRR (2021)
Seyoung Kim, Heechun Park, Jaeha Kim
Safety Verification of AMS Circuits with Piecewise-Linear System Reachability Analysis. ISOCC (2021)
Jun Ho Yoon, Seyoung Kim
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation. CoRR (2021)
Youngseok Kim, Seyoung Kim, Chun-Chen Yeh, Vijay Narayanan, Jungwook Choi
Hardware and Software Co-optimization for the Initialization Failure of the ReRAM-based Cross-bar Array. ACM J. Emerg. Technol. Comput. Syst. 16 (4) (2020)
Calvin McCarter, Judie A. Howrylak, Seyoung Kim
Learning gene networks underlying clinical phenotypes using SNP perturbation. PLoS Comput. Biol. 16 (10) (2020)
Youngseok Kim, Seyoung Kim, Chun-Chen Yeh, Vijay Narayanan, Jungwook Choi
Hardware and software co-optimization for the initialization failure of the ReRAM based cross-bar array. CoRR (2020)
Gi-Bum Kim, Seyoung Kim
Multi-level Gaussian Graphical Models Conditional on Covariates. AISTATS (2020)
Jun Ho Yoon, Seyoung Kim
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices. UAI (2020)
Eduard A. Cartier, Wanki Kim, Nanbo Gong, Tayfun Gokmen, Martin M. Frank, Douglas M. Bishop, Youngseok Kim, Seyoung Kim, Takashi Ando, Ernest Y. Wu, Praneet Adusumilli, John Rozen, Paul M. Solomon, Wilfried Haensch, Matthew J. BrightSky, Abu Sebastian, Geoffrey W. Burr, Vijay Narayanan
Reliability Challenges with Materials for Analog Computing. IRPS (2019)
Hyungjun Kim, Malte J. Rasch, Tayfun Gokmen, Takashi Ando, Hiroyuki Miyazoe, Jae-Joon Kim, John Rozen, Seyoung Kim
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays. CoRR (2019)
Seyoung Kim, Kwang Ryel Ryu
Scheduling and Situation-Adaptive Operation for Energy Efficiency of Hot Press Forging Factory. ETFA (2018)
Seongwoo Kim, Seyoung Kim, Kwang Ryel Ryu
Deep Learning Experiments with Skewed Data for Defect Prediction in Plastic Injection Molding. AICCSA (2018)
Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training. CoRR (2017)
Haein Shin, Jaehyung Yu, Ji Hye Shin, Yongsik Jeong, Seyoung Kim, Gilljae Lee
Spectral response of romaine lettuce by uptake of ZN. IGARSS (2017)
Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch
Analog CMOS-based resistive processing unit for deep neural network training. MWSCAS (2017)
Ji Hye Shin, Jaehyung Yu, Seyoung Kim, Haein Shin, Sang-Mo Koh
Relationship between spectral reflectance and metal content of Korean pine needles as a metal contamination indicator. IGARSS (2017)
Calvin McCarter, Seyoung Kim
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models. AISTATS (2016)
Lingxue Zhang, Seyoung Kim
Learning Gene Networks under SNP Perturbations Using eQTL Datasets. PLoS Comput. Biol. 10 (2) (2014)
Sangheun Shim, Seyoung Kim, Yong Man Ro
High resolution image formation method based on the realistic spaceborne SAR modeling and simulation. SAR (2014)
Calvin McCarter, Seyoung Kim
On Sparse Gaussian Chain Graph Models. NIPS (2014)
Seyoung Kim, Eric P. Xing
Exploiting Genome Structure in Association Analysis. J. Comput. Biol. 21 (4) (2014)
Jing Xiang, Seyoung Kim
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables. NIPS (2013)
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing
Smoothing Proximal Gradient Method for General Structured Sparse Learning CoRR (2012)
Seyoung Kim, Sheldon S. Williamson
Negative impedance instability compensation in buck converter using state space pole placement control. CCECE (2012)
Kyung-Ah Sohn, Seyoung Kim
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization. AISTATS (2012)
Seyoung Kim, Padhraic Smyth, Stefan Luther
Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models CoRR (2012)
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing
Smoothing Proximal Gradient Method for General Structured Sparse Learning. UAI (2011)
Sanjay K. Banerjee, Leonard Franklin Register, Emanuel Tutuc, Dipanjan Basu, Seyoung Kim, Dharmendar Reddy, Allan H. MacDonald
Graphene for CMOS and Beyond CMOS Applications. Proc. IEEE 98 (12) (2010)
Seyoung Kim, Eric P. Xing
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity. ICML (2010)
Xi Chen, Qihang Lin, Seyoung Kim, Javier Peña, Jaime G. Carbonell, Eric P. Xing
An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity CoRR (2010)
Xi Chen, Seyoung Kim, Qihang Lin, Jaime G. Carbonell, Eric P. Xing
Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso CoRR (2010)
Seyoung Kim, Padhraic Smyth, Hal S. Stern
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data. IEEE Trans. Medical Imaging 29 (6) (2010)
Kriti Puniyani, Seyoung Kim, Eric P. Xing
Multi-population GWA mapping via multi-task regularized regression. Bioinform. 26 (12) (2010)
Xiaolin Yang, Seyoung Kim, Eric P. Xing
Heterogeneous multitask learning with joint sparsity constraints. NIPS (2009)
Seyoung Kim, Kyung-Ah Sohn, Eric P. Xing
A multivariate regression approach to association analysis of a quantitative trait network. Bioinform. 25 (12) (2009)
Seyoung Kim, Eric P. Xing
Feature Selection via Block-Regularized Regression. UAI (2008)
Seyoung Kim, Padhraic Smyth, Hal S. Stern
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data. MICCAI (2) (2006)
Seyoung Kim, Padhraic Smyth
Segmental Hidden Markov Models with Random Effects for Waveform Modeling. J. Mach. Learn. Res. 7 (2006)
Seyoung Kim, Padhraic Smyth
Hierarchical Dirichlet Processes with Random Effects. NIPS (2006)
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica A. Turner
Parametric Response Surface Models for Analysis of Multi-site fMRI Data. MICCAI (2005)
Seyoung Kim, Padhraic Smyth, Stefan Luther
Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models. UAI (2004)
Seyoung Kim, John J. Metzner
Performance improvement of a frequency hopping-CDMA system utilizing memorized prior data. IEEE Trans. Commun. 39 (4) (1991)