Yang Liu - RankMe

39 papers A 4B 1Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Parallel Sparse and Data-Sparse Factorization-based Linear Solvers. CoRR Xiaoye Sherry Li, Yang Liu
2026	J	`jnl`	Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty. CoRR Hengrui Luo, Xiaoye S. Li, Yang Liu, Marcus Noack, Ji Qiang, Mark D. Risser
2025	J	`jnl`	A Linear-Complexity Tensor Butterfly Algorithm for Compressing High-Dimensional Oscillatory Integral Operators. Multiscale Model. Simul. P. Michael Kielstra, Tianyi Shi, Hengrui Luo, Jianliang Qian, Yang Liu
2025	—	`conf`	Adaptive Sketching Based Construction of H2 Matrices on GPUs. IPDPS (Workshops) Wajih Halim Boukaram, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
2025	J	`jnl`	Adaptive Sketching Based Construction of H2 Matrices on GPUs. CoRR Wajih Halim Boukaram, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
2025	J	`jnl`	Efficient Tensor Completion Algorithms for Highly Oscillatory Operators. CoRR Navjot Singh, Edgar Solomonik, Xiaoye Sherry Li, Yang Liu
2025	J	`jnl`	Linear Complexity ℋ CoRR Wajih Boukaram, David E. Keyes, Sherry Li, Yang Liu, George Turkiyyah
2025	J	`jnl`	Parallelizing autotuning for HPC applications: Unveiling the potential of the speculation strategy in Bayesian optimization. Int. J. High Perform. Comput. Appl. Adrián Pérez Diéguez, Seth Ockerman, Tristan Aikman, Younghyun Cho, Yang Liu, Khaled Z. Ibrahim
2024	J	`jnl`	A Linear-complexity Tensor Butterfly Algorithm for Compressing High-dimensional Oscillatory Integral Operators. CoRR P. Michael Kielstra, Tianyi Shi, Hengrui Luo, Jianliang Qian, Yang Liu
2024	A	`conf`	A Workflow Roofline Model for End-to-End Workflow Performance Analysis. SC Nan Ding, Brian Austin, Yang Liu, Neil Mehta, Steven Farrell, Johannes P. Blaschke, Leonid Oliker, Hai Ah Nam, Nicholas J. Wright, Samuel Williams
2024	J	`jnl`	Batched sparse direct solver design and evaluation in SuperLU_DIST. Int. J. High Perform. Comput. Appl. Wajih Boukaram, Yuxi Hong, Yang Liu, Tianyi Shi, Xiaoye S. Li
2024	J	`jnl`	Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization. J. Comput. Graph. Stat. Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu
2024	J	`jnl`	Non-smooth Bayesian optimization in tuning scientific applications. Int. J. High Perform. Comput. Appl. Hengrui Luo, Younghyun Cho, James Weldon Demmel, Igor Kozachenko, Xiaoye S. Li, Yang Liu
2023	J	`jnl`	A Fast Butterfly-Compressed Hadamard-Babich Integrator for High-Frequency Helmholtz Equations in Inhomogeneous Media with Arbitrary Sources. Multiscale Model. Simul. Yang Liu, Jian Song, Robert Burridge, Jianliang Qian
2023	A	`conf`	Harnessing the Crowd for Autotuning High-Performance Computing Applications. IPDPS Younghyun Cho, James Weldon Demmel, Jacob King, Xiaoye S. Li, Yang Liu, Hengrui Luo
2023	J	`jnl`	Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver. ACM Trans. Math. Softw. Xiaoye S. Li, Paul Lin, Yang Liu, Piyush Sao
2023	J	`jnl`	Sparse Approximate Multifrontal Factorization with Composite Compression Methods. ACM Trans. Math. Softw. Lisa Claus, Pieter Ghysels, Yang Liu, Thái Anh Nhan, Ramakrishnan Thirumalaisamy, Amneet Pal Singh Bhalla, Xiaoye Sherry Li
2023	A	`conf`	Unified Communication Optimization Strategies for Sparse Triangular Solver on CPU and GPU Clusters. SC Yang Liu, Nan Ding, Piyush Sao, Samuel Williams, Xiaoye Sherry Li
2023	J	`jnl`	VoxImp: Impedance Extraction Simulator for Voxelized Structures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mingyu Wang, Yang Liu, Pieter Ghysels, Abdulkadir C. Yucel
2022	J	`jnl`	A Fast Butterfly-compressed Hadamard-Babich Integrator for High-Frequency Helmholtz Equations in Inhomogeneous Media with Arbitrary Sources. CoRR Yang Liu, Jian Song, Robert Burridge, Jianliang Qian
2022	—	`conf`	GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. PP Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li
2022	J	`jnl`	Hybrid Models for Mixed Variables in Bayesian Optimization. CoRR Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu
2021	J	`jnl`	A Butterfly-Accelerated Volume Integral Equation Solver for Broad Permittivity and Large-Scale Electromagnetic Analysis. CoRR Sadeed B. Sayed, Yang Liu, Luis J. Gomez, Abdulkadir C. Yucel
2021	—	`conf`	A Message-Driven, Multi-GPU Parallel Sparse Triangular Solver. ACDA Nan Ding, Yang Liu, Samuel Williams, Xiaoye S. Li
2021	J	`jnl`	Butterfly Factorization Via Randomized Matrix-Vector Multiplications. SIAM J. Sci. Comput. Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li
2021	—	`conf`	Enhancing Autotuning Capability with a History Database. MCSoC Younghyun Cho, James Demmel, Xiaoye S. Li, Yang Liu, Hengrui Luo
2021	B	`conf`	GPTune: multitask learning for autotuning exascale applications. PPoPP Yang Liu, Wissam M. Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James Weldon Demmel, Xiaoye S. Li
2021	J	`jnl`	Non-smooth Bayesian Optimization in Tuning Problems. CoRR Hengrui Luo, James Weldon Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu
2021	J	`jnl`	Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations. SIAM J. Sci. Comput. Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li
2020	J	`jnl`	A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin Carson, Terry Cojean, Jack J. Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J. Higham, Xiaoye Sherry Li, Neil Lindquist, Yang Liu, Jennifer A. Loe, Piotr Luszczek, Pratik Nayak, Srikara Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Barry Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Ulrike Meier Yang
2020	J	`jnl`	A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces. J. Comput. Phys. Yang Liu, Haizhao Yang
2020	J	`jnl`	A parallel hierarchical blocked adaptive cross approximation algorithm. Int. J. High Perform. Comput. Appl. Yang Liu, Wissam M. Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, Xiaoye Sherry Li
2020	J	`jnl`	Butterfly factorization via randomized matrix-vector multiplications. CoRR Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li
2020	—	`conf`	Leveraging One-Sided Communication for Sparse Triangular Solvers. PP Nan Ding, Samuel Williams, Yang Liu, Xiaoye S. Li
2020	A	`conf`	Scalable and Memory-Efficient Kernel Ridge Regression. IPDPS Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova
2020	J	`jnl`	Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations. CoRR Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li
2018	—	`conf`	A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. IPDPS Workshops Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
2018	J	`jnl`	A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. CoRR Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
2018	—	`conf`	Highly scalable distributed-memory sparse triangular solution algorithms. CSC Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S. Li