Youngdae Kim

According to our database, Youngdae Kim authored at least 19 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints.

Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Algorithmic Read Resistance Trim for Improving Yield and Reducing Test Time in MRAM.

Daehyun Chang, Youngdae Kim, Suksoo Pyo, Shin Hun, Daesop Lee, Sohee Hwang, Jaesik Choi, Siwoong Kim

Proceedings of the IEEE International Test Conference, 2023

2022

GPU-Accelerated WENO Schemes for DNS of Compressible Turbulent Flows.

Youngdae Kim, Debojyoti Ghosh, Emil M. Constantinescu, Ramesh Balakrishnan

CoRR, 2022

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning.

Minseok Ryu, Youngdae Kim, Kibaek Kim, Ravi K. Madduri

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Frequency Recovery in Power Grids using High-Performance Computing.

Vishwas Rao, Anirudh Subramanyam, Michel Schanen, Youngdae Kim, Ignas Satkauskas, Mihai Anitescu

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

Accelerated Computation and Tracking of AC Optimal Power Flow Solutions Using GPUs.

Youngdae Kim, Kibaek Kim

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems.

Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn

CoRR, 2021

Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition.

Youngdae Kim, François Pacaud, Kibaek Kim, Mihai Anitescu

CoRR, 2021

MINLP formulations for continuous piecewise linear function fitting.

Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, Sven Leyffer

Comput. Optim. Appl., 2021

2019

Solving equilibrium problems using extended mathematical programming.

Youngdae Kim, Michael C. Ferris

Math. Program. Comput., 2019

2018

A structure-preserving pivotal method for affine variational inequalities.

Youngdae Kim, Olivier Huber, Michael C. Ferris

Math. Program., 2018

2014

iKernel: Exact indexing for support vector machines.

Youngdae Kim, Ilhwan Ko, Wook-Shin Han, Hwanjo Yu

Inf. Sci., 2014

Adaptively refined dynamic program for linear spline regression.

Noam Goldberg, Youngdae Kim, Sven Leyffer, Thomas D. Veselka

Comput. Optim. Appl., 2014

2012

An efficient method for learning nonlinear ranking SVM functions.

Hwanjo Yu, Jinha Kim, Youngdae Kim, Seung-won Hwang, Young Ho Lee

Inf. Sci., 2012

2011

Exact indexing for support vector machines.

Hwanjo Yu, Ilhwan Ko, Youngdae Kim, Seung-won Hwang, Wook-Shin Han

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2009

Ranking strategies and threats: a cost-based pareto optimization approach.

Youngdae Kim, Gae-won You, Seung-won Hwang

Distributed Parallel Databases, 2009

RV-SVM: An Efficient Method for Learning Ranking SVM.

Hwanjo Yu, Youngdae Kim, Seung-won Hwang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008

Approximate Boolean + Ranking Query Answering Using Wavelets.

Youngdae Kim, Seung-won Hwang

Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Escaping a Dominance Region at Minimum Cost.

Youngdae Kim, Gae-won You, Seung-won Hwang

Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008