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Eunji Lim
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2020 – today
- 2024
- [j10]Yoonsik Kim, Eunji Lim, Taekyoung Kwon:
On the Impact of Deployment Errors in Location-Based Key Predistribution Protocols for Wireless Sensor Networks. IEEE Access 12: 35765-35778 (2024) - [i1]Eunji Lim:
Estimating a Function and Its Derivatives Under a Smoothness Condition. CoRR abs/2405.10126 (2024) - 2023
- [j9]Eunji Lim, Peter W. Glynn:
Simulation-Based Prediction. Oper. Res. 71(1): 47-60 (2023) - [c9]Young-Ho Kim, Eunji Lim, Shin-Young Ahn, Yoo-Mi Park:
A device driver for the AB21 SoC in Supreme-K system. ICTC 2023: 1781-1784 - 2022
- [j8]Eunji Lim, Taehoon Shin, Joonyeol Lee, Jaeseok Park:
Generalized self-calibrating simultaneous multi-slice MR image reconstruction from 3D Fourier encoding perspective. Medical Image Anal. 82: 102621 (2022) - 2020
- [j7]Shin-Young Ahn, Eunji Lim:
SoftMemoryBox II: A Scalable, Shared Memory Buffer Framework for Accelerating Distributed Training of Large-Scale Deep Neural Networks. IEEE Access 8: 207097-207111 (2020) - [j6]Joon Sik Park, Eunji Lim, Seung-Hong Choi, Chul-Ho Sohn, Joonyeol Lee, Jaeseok Park:
Model-Based High-Definition Dynamic Contrast Enhanced MRI for Concurrent Estimation of Perfusion and Microvascular Permeability. Medical Image Anal. 59 (2020)
2010 – 2019
- 2018
- [j5]Shin-Young Ahn, Joongheon Kim, Eunji Lim, Sungwon Kang:
Soft Memory Box: A Virtual Shared Memory Framework for Fast Deep Neural Network Training in Distributed High Performance Computing. IEEE Access 6: 26493-26504 (2018) - [c8]Shin-Young Ahn, Joongheon Kim, Eunji Lim, Wan Choi, Aziz Mohaisen, Sungwon Kang:
ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture. ICDCS 2018: 1118-1128 - 2015
- [c7]Eunji Lim, Youngmin Kim, Jaehyouk Choi:
Optimization of analog circuits via simulation and a lagrangian-type gradient-based method. WSC 2015: 1206-1217 - 2014
- [j4]Eunji Lim:
On Convergence Rates of Convex Regression in Multiple Dimensions. INFORMS J. Comput. 26(3): 616-628 (2014) - [c6]Eunji Lim, Yao Luo:
On a least absolute deviations estimator of a multivariate convex function. WSC 2014: 2682-2691 - 2012
- [j3]Eunji Lim, Peter W. Glynn:
Consistency of Multidimensional Convex Regression. Oper. Res. 60(1): 196-208 (2012) - [j2]Eunji Lim:
Stochastic approximation over multidimensional discrete sets with applications to inventory systems and admission control of queueing networks. ACM Trans. Model. Comput. Simul. 22(4): 19:1-19:23 (2012) - 2011
- [j1]Eunji Lim:
On the Convergence Rate for Stochastic Approximation in the Nonsmooth Setting. Math. Oper. Res. 36(3): 527-537 (2011) - [c5]Peter W. Glynn, Eunji Lim:
Brownian bridge hypothesis testing for the initial transient problem. WSC 2011: 481-487 - [c4]Yao Luo, Eunji Lim:
Simulation-based optimization over discrete sets with noisy constraints. WSC 2011: 4013-4025 - 2010
- [c3]Eunji Lim:
Response surface computation via simulation in the presence of convexity. WSC 2010: 1246-1254
2000 – 2009
- 2009
- [c2]Eunji Lim:
Newton-Raphson Version of Stochastic Approximation over Discrete Sets. WSC 2009: 613-622 - 2006
- [c1]Eunji Lim, Peter W. Glynn:
Simulation-based response surface computation in the presence of monotonicity. WSC 2006: 264-271
Coauthor Index
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