Youngdae Kim

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 14

Top Topics

Mixed Integer Nonlinear Programming

Nonlinear Programming

Variational Inequalities

Top Venues

Comput. Optim. Appl.

Publications

Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints. CoRR (2024)
Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints. L4DC (2024)
Daehyun Chang, Youngdae Kim, Suksoo Pyo, Shin Hun, Daesop Lee, Sohee Hwang, Jaesik Choi, Siwoong Kim
Algorithmic Read Resistance Trim for Improving Yield and Reducing Test Time in MRAM. ITC (2023)
Youngdae Kim, Kibaek Kim
Accelerated Computation and Tracking of AC Optimal Power Flow Solutions Using GPUs. ICPP Workshops (2022)
Youngdae Kim, Debojyoti Ghosh, Emil M. Constantinescu, Ramesh Balakrishnan
GPU-Accelerated WENO Schemes for DNS of Compressible Turbulent Flows. CoRR (2022)
Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. CoRR (2022)
Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. IPDPS Workshops (2022)
Vishwas Rao, Anirudh Subramanyam, Michel Schanen, Youngdae Kim, Ignas Satkauskas, Mihai Anitescu
Frequency Recovery in Power Grids using High-Performance Computing. ICPP Workshops (2022)
Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition. CoRR (2021)
Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, Sven Leyffer
MINLP formulations for continuous piecewise linear function fitting. Comput. Optim. Appl. 79 (1) (2021)
Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems. CoRR (2021)
Youngdae Kim, Michael C. Ferris
Solving equilibrium problems using extended mathematical programming. Math. Program. Comput. 11 (3) (2019)
Youngdae Kim, Olivier Huber, Michael C. Ferris
A structure-preserving pivotal method for affine variational inequalities. Math. Program. 168 (1-2) (2018)
Youngdae Kim, Michael C. Ferris
Solving equilibrium problems using extended mathematical programming. CoRR (2018)
Noam Goldberg, Youngdae Kim, Sven Leyffer, Thomas D. Veselka
Adaptively refined dynamic program for linear spline regression. Comput. Optim. Appl. 58 (3) (2014)
Youngdae Kim, Ilhwan Ko, Wook-Shin Han, Hwanjo Yu
iKernel: Exact indexing for support vector machines. Inf. Sci. 257 (2014)
Hwanjo Yu, Jinha Kim, Youngdae Kim, Seung-won Hwang, Young Ho Lee
An efficient method for learning nonlinear ranking SVM functions. Inf. Sci. 209 (2012)
Hwanjo Yu, Ilhwan Ko, Youngdae Kim, Seung-won Hwang, Wook-Shin Han
Exact indexing for support vector machines. SIGMOD Conference (2011)
Youngdae Kim, Gae-won You, Seung-won Hwang
Ranking strategies and threats: a cost-based pareto optimization approach. Distributed Parallel Databases 26 (1) (2009)
Hwanjo Yu, Youngdae Kim, Seung-won Hwang
RV-SVM: An Efficient Method for Learning Ranking SVM. PAKDD (2009)
Youngdae Kim, Gae-won You, Seung-won Hwang
Escaping a Dominance Region at Minimum Cost. DEXA (2008)
Youngdae Kim, Seung-won Hwang
Approximate Boolean + Ranking Query Answering Using Wavelets. WAIM (2008)