Second Order Upwind Lagrangian Particle Method for Euler Equations. - Roman Samulyak; Hsin-Chiang Chen; Kwangmin Yu (ICCS, 2016)

AP-Cloud: Adaptive Particle-in-Cloud method for optimal solutions to Vlasov-Poisson equation. - Xingyu Wang; Roman Samulyak; Xiangmin Jiao; Kwangmin Yu (J. Comput. Phys., 2016)

Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training. - Kwangmin Yu; Thomas Flynn 001; Shinjae Yoo; Nicholas D'Imperio (CoRR, 2019)

Bounding the expected run-time of nonconvex optimization with early stopping. - Thomas Flynn 001; Kwangmin Yu; Abid Malik; Nicholas D'Imperio; Shinjae Yoo (UAI, 2020)

Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit. - Haiwang Yu; Zhihua Dong; Kyle Knoepfel; Meifeng Lin; Brett Viren; Kwangmin Yu (CoRR, 2021)

Accelerated impurity solver for DMFT and its diagrammatic extensions. - Corey Melnick; Patrick Semon; Kwangmin Yu; Nicholas D'Imperio; André-Marie Tremblay; Gabriel Kotliar (Comput. Phys. Commun., 2021)

Porting HEP Parameterized Calorimeter Simulation Code to GPUs. - Zhihua Dong; Heather M. Gray; Charles Leggett; Meifeng Lin; Vincent R. Pascuzzi; Kwangmin Yu (Frontiers Big Data, 2021)

Implementation of efficient quantum search algorithms on NISQ computers. - Kun Zhang 004; Pooja Rao; Kwangmin Yu; Hyun-Kyung Lim; Vladimir E. Korepin (Quantum Inf. Process., 2021)

SPACE: 3D parallel solvers for Vlasov-Maxwell and Vlasov-Poisson equations for relativistic plasmas with atomic transformations. - Kwangmin Yu; Prabhat Kumar; Shaohua Yuan; Aiqi Cheng; Roman Samulyak (Comput. Phys. Commun., 2022)

Quantum multi-programming for Grover's search. - Gilchan Park; Kun Zhang 004; Kwangmin Yu; Vladimir E. Korepin (Quantum Inf. Process., 2023)

Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence. - Mohammad Atif; Pulkit Dubey; Pratik P. Aghor; Vanessa López-Marrero; Tao Zhang; Abdullah Sharfuddin; Kwangmin Yu; Fan Yang; Foluso Ladeinde; Yangang Liu; Meifeng Lin; Lingda Li (SC Workshops, 2024)

Efficient charge-preserving excited state preparation with variational quantum algorithms. - Zohim Chandani; Kazuki Ikeda; Zhong-Bo Kang; Dmitri E. Kharzeev; Alexander McCaskey; Andrea Palermo; C. R. Ramakrishnan 001; Pooja Rao; Ranjani G. Sundaram; Kwangmin Yu (CoRR, 2024)

Parallel hybrid quantum-classical machine learning for kernelized time-series classification. - Jack S. Baker; Gilchan Park; Kwangmin Yu; Ara Ghukasyan; Oktay Göktas; Santosh Kumar Radha (Quantum Mach. Intell., 2024)

Towards accelerating particle-resolved direct numerical simulation with neural operators. - Mohammad Atif; Vanessa López-Marrero; Tao Zhang; Abdullah Sharfuddin; Kwangmin Yu; Jiaqi Yang; Fan Yang; Foluso Ladeinde; Yangang Liu; Meifeng Lin; Lingda Li (Stat. Anal. Data Min., 2024)