Seyoung Kim

63 papers A* 1A 11C 4Journal 31Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Novel Indium Gallium Zinc Oxide Channel-Based Electrochemical Field Effect Transistor for Physical Reservoir Computing.
Adv. Intell. Syst.
Hyejin Kim, Jinho Byun, Junghoon Park, Kiheun Lee, Daewon Ha, Seyoung Kim
2025 J jnl
A Multi-Bit ECRAM-Based Analog Neuromorphic System With High-Precision Current Readout Achieving 97.3% Inference Accuracy.
IEEE Trans. Biomed. Circuits Syst.
Minseong Um, Minil Kang, Kyeongho Eom, Hyunjeong Kwak, Kyungmi Noh, Jimin Lee, Jeonghoon Son, Jiseok Kwon, Seyoung Kim, Hyung-Min Lee
2025 J jnl
Design Strategies of Capacitor-Based Synaptic Cell for High-Efficiency Analog Neural Network Training.
Adv. Intell. Syst.
Byoungwoo Lee, Wonjae Ji, Hyejin Kim, Seungmin Han, Geonwoong Park, Pyeongkang Hur, Gilsu Jeon, Hyung-Min Lee, Yoonyoung Chung, Junwoo Son, Dong-Young Noh, Seyoung Kim
2025 J jnl
Device Specifications for Neural Network Training with Analog Resistive Cross-Point Arrays Using Tiki-Taka Algorithms.
Adv. Intell. Syst.
Jinho Byun, Seungkun Kim, Doyoon Kim, Jimin Lee, Wonjae Ji, Seyoung Kim
2025 J jnl
Enhancing mean-variance portfolio optimization through GANs-based anomaly detection.
Ann. Oper. Res.
Jang Ho Kim, Seyoung Kim, Yongjae Lee, Woo Chang Kim, Frank J. Fabozzi
2025 — conf
Estimation of Remaining Useful Life from the Aging Degradation in IC Performance Parameters.
IRPS
Jiho Lee, Jiwon Kim, Seyoung Kim, Young-Yun Lee, Kanghyun Seo, Jung Yun Choi
2025 J jnl
Verification of neuromorphic processing accuracy against non-ideal errors in synapse-based neural network systems.
Int. J. Circuit Theory Appl.
Hwi Jeong Jo, Minil Kang, Minseong Um, Juhee Kim, Kon-Woo Kwon, Seyoung Kim, Hyung-Min Lee
2023 — conf
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
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
2023 — conf
A GANs-Based Approach for Stock Price Anomaly Detection and Investment Risk Management.
ICAIF
Seyoung Kim, Joohwan Hong, Yongjae Lee
2023 J jnl
Accurate Layout-Dependent Effect Model in 10 nm-Class DRAM Process Using Area-Efficient Array Test Circuits.
IEEE Access
Seyoung Kim, Seungho Yang, Hyein Lim, Hyein Lee, Jongwook Jeon, Jung Yun Choi, Jaeha Kim
2023 — conf
An ECRAM-Based Analog Compute-in-Memory Neuromorphic System with High-Precision Current Readout.
BioCAS
Minseong Um, Minil Kang, Hyunjeong Kwak, Kyungmi Noh, Seyoung Kim, Hyung-Min Lee
2023 A conf
Factorial SDE for Multi-Output Gaussian Process Regression.
AISTATS
Daniel P. Jeong, Seyoung Kim
2023 — conf
LLMs Analyzing the Analysts: Do BERT and GPT Extract More Value from Financial Analyst Reports?
ICAIF
Seonmi Kim, Seyoung Kim, Yejin Kim, Junpyo Park, Seongjin Kim, Moolkyeol Kim, Chang Hwan Sung, Joohwan Hong, Yongjae Lee
2023 J jnl
Reachability Analysis for Nonlinear Analog/Mixed-Signal Circuits With Trajectory-Based Reachable Sets.
IEEE Access
Seyoung Kim, Jaeha Kim
2022 A conf
Doubly Mixed-Effects Gaussian Process Regression.
AISTATS
Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim
2022 J jnl
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation.
J. Mach. Learn. Res.
Jun Ho Yoon, Seyoung Kim
2022 J jnl
Neural Network Training With Asymmetric Crosspoint Elements.
Frontiers Artif. Intell.
O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
2022 J jnl
Neural Network Training with Asymmetric Crosspoint Elements.
CoRR
O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
2022 J jnl
Optimization of Heat Treatment Scheduling for Hot Press Forging Using Data-Driven Models.
Intell. Autom. Soft Comput.
Seyoung Kim, Jeonghoon Choi, Kwang Ryel Ryu
2021 — conf
All-Directional Dual Pixel Auto Focus Technology in CMOS Image Sensors.
VLSI Circuits
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
2021 J jnl
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation.
CoRR
Jun Ho Yoon, Seyoung Kim
2021 J jnl
SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks.
CoRR
Chaeun Lee, Seyoung Kim
2021 — conf
Safety Verification of AMS Circuits with Piecewise-Linear System Reachability Analysis.
ISOCC
Seyoung Kim, Heechun Park, Jaeha Kim
2020 A conf
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices.
UAI
Jun Ho Yoon, Seyoung Kim
2020 J jnl
Hardware and Software Co-optimization for the Initialization Failure of the ReRAM-based Cross-bar Array.
ACM J. Emerg. Technol. Comput. Syst.
Youngseok Kim, Seyoung Kim, Chun-Chen Yeh, Vijay Narayanan, Jungwook Choi
2020 J jnl
Hardware and software co-optimization for the initialization failure of the ReRAM based cross-bar array.
CoRR
Youngseok Kim, Seyoung Kim, Chun-Chen Yeh, Vijay Narayanan, Jungwook Choi
2020 J jnl
Learning gene networks underlying clinical phenotypes using SNP perturbation.
PLoS Comput. Biol.
Calvin McCarter, Judie A. Howrylak, Seyoung Kim
2020 A conf
Multi-level Gaussian Graphical Models Conditional on Covariates.
AISTATS
Gi-Bum Kim, Seyoung Kim
2019 — conf
Reliability Challenges with Materials for Analog Computing.
IRPS
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
2019 J jnl
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays.
CoRR
Hyungjun Kim, Malte J. Rasch, Tayfun Gokmen, Takashi Ando, Hiroyuki Miyazoe, Jae-Joon Kim, John Rozen, Seyoung Kim
2018 C conf
Deep Learning Experiments with Skewed Data for Defect Prediction in Plastic Injection Molding.
AICCSA
Seongwoo Kim, Seyoung Kim, Kwang Ryel Ryu
2018 C conf
Scheduling and Situation-Adaptive Operation for Energy Efficiency of Hot Press Forging Factory.
ETFA
Seyoung Kim, Kwang Ryel Ryu
2017 J jnl
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training.
CoRR
Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch
2017 — conf
Analog CMOS-based resistive processing unit for deep neural network training.
MWSCAS
Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch
2017 C conf
Relationship between spectral reflectance and metal content of Korean pine needles as a metal contamination indicator.
IGARSS
Ji Hye Shin, Jaehyung Yu, Seyoung Kim, Haein Shin, Sang-Mo Koh
2017 C conf
Spectral response of romaine lettuce by uptake of ZN.
IGARSS
Haein Shin, Jaehyung Yu, Ji Hye Shin, Yongsik Jeong, Seyoung Kim, Gilljae Lee
2016 A conf
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models.
AISTATS
Calvin McCarter, Seyoung Kim
2016 A conf
Mime: An AR-based System Helping Patients to Test their Blood at Home.
Conference on Designing Interactive Systems
Tom Djajadiningrat, Pei-Yin Chao, Seyoung Kim, Marleen Van Leengoed, Jeroen Raijmakers
2014 J jnl
Exploiting Genome Structure in Association Analysis.
J. Comput. Biol.
Seyoung Kim, Eric P. Xing
2014 — conf
High resolution image formation method based on the realistic spaceborne SAR modeling and simulation.
SAR
Sangheun Shim, Seyoung Kim, Yong Man Ro
2014 J jnl
Learning Gene Networks under SNP Perturbations Using eQTL Datasets.
PLoS Comput. Biol.
Lingxue Zhang, Seyoung Kim
2014 — conf
On Sparse Gaussian Chain Graph Models.
NIPS
Calvin McCarter, Seyoung Kim
2013 — conf
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables.
NIPS
Jing Xiang, Seyoung Kim
2012 A conf
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization.
AISTATS
Kyung-Ah Sohn, Seyoung Kim
2012 J jnl
Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models
CoRR
Seyoung Kim, Padhraic Smyth, Stefan Luther
2012 — conf
Negative impedance instability compensation in buck converter using state space pole placement control.
CCECE
Seyoung Kim, Sheldon S. Williamson
2012 J jnl
Smoothing Proximal Gradient Method for General Structured Sparse Learning
CoRR
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing
2011 A conf
Smoothing Proximal Gradient Method for General Structured Sparse Learning.
UAI
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing
2010 J jnl
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data.
IEEE Trans. Medical Imaging
Seyoung Kim, Padhraic Smyth, Hal S. Stern
2010 J jnl
An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity
CoRR
Xi Chen, Qihang Lin, Seyoung Kim, Javier Peña, Jaime G. Carbonell, Eric P. Xing
2010 J jnl
Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso
CoRR
Xi Chen, Seyoung Kim, Qihang Lin, Jaime G. Carbonell, Eric P. Xing
2010 J jnl
Graphene for CMOS and Beyond CMOS Applications.
Proc. IEEE
Sanjay Kumar Banerjee, Leonard Franklin Register, Emanuel Tutuc, Dipanjan Basu, Seyoung Kim, Dharmendar Reddy, Allan H. MacDonald
2010 J jnl
Multi-population GWA mapping via multi-task regularized regression.
Bioinform.
Kriti Puniyani, Seyoung Kim, Eric P. Xing
2010 A* conf
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity.
ICML
Seyoung Kim, Eric P. Xing
2009 J jnl
A multivariate regression approach to association analysis of a quantitative trait network.
Bioinform.
Seyoung Kim, Kyung-Ah Sohn, Eric P. Xing
2009 — conf
Heterogeneous multitask learning with joint sparsity constraints.
NIPS
Xiaolin Yang, Seyoung Kim, Eric P. Xing
2008 A conf
Feature Selection via Block-Regularized Regression.
UAI
Seyoung Kim, Eric P. Xing
2006 — conf
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data.
MICCAI (2)
Seyoung Kim, Padhraic Smyth, Hal S. Stern
2006 — conf
Hierarchical Dirichlet Processes with Random Effects.
NIPS
Seyoung Kim, Padhraic Smyth
2006 J jnl
Segmental Hidden Markov Models with Random Effects for Waveform Modeling.
J. Mach. Learn. Res.
Seyoung Kim, Padhraic Smyth
2005 A conf
Parametric Response Surface Models for Analysis of Multi-site fMRI Data.
MICCAI
Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica A. Turner
2004 A conf
Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models.
UAI
Seyoung Kim, Padhraic Smyth, Stefan Luther
1991 J jnl
Performance improvement of a frequency hopping-CDMA system utilizing memorized prior data.
IEEE Trans. Commun.
Seyoung Kim, John J. Metzner