Email:
liuyangzhuan@lbl.gov

Address:
MS 50A-3111, 1 Cyclotron Road
Berkeley, CA 94720

Phone:
734-546-7392

Google Scholar:
[Here]

PREPRINTS (“†” corresponding author, “__” advisee)

  1. P. M. Kielstra, T. Shi, H. Luo, J. Qian, and, Y. Liu, "A linear-complexity tensor butterfly algorithm for compressing high-dimensional oscillatory integral operators," [pdf]
  2. M. Rahman, Z. Bai, J. King, C. Sovinec, X. Wei, S. Williams, and, Y. Liu, "Sparsified time-dependent Fourier neural operators for fusion simulations," [pdf]
  3. N. Ding, B. Austin, Y. Liu, N. Mehta, S. Farrell, J. P. Blaschke, L. Oliker, H. A. Nam, N. J. Wright, and S. Williams, "Workflow roofline model for end-to-end workflow performance analysis, [pdf]
  4. N. Singh, X. S. Li, E. Solomonik, and Y. Liu, "Matrix completion algorithm in the butterfly format,"
  5. H. Luo, X. S. Li, Y. Liu, M. M. Noack, M. D. Risser, and J. Qiang, "Wasserstein-type Gaussian process for error-in-variables,"
  6. X. Jia, Y. Liu, M. Wang, C. Wang, and A. C. Yucel, "A hybrid tensor-FFT-accelerated volume integral equation solver for magneto-quasi-static analysis of multiscale voxelized geometries,"
  7. S. Ockerman, A. Perez Dieguez, T. Aikman, Y. Cho, Y. Liu, and K. Ibrahim, "Parallelizing HPC tuning searches: unveiling the potential of the speculation strategy in Bayesian optimization,
  8. W. Boukaram, Y. Liu, P. Ghysels, and X. S. Li, "Adaptive sketching based construction of H2-matrices on GPUs,

BOOK CHAPTERS

  1. Y. Liu, and E. Michielssen, "Parallel fast time-domain integral-equation methods for transient electromagnetic analysis," Parallel algorithms in computational science and engineering., Birkhauser, 2020.

REFEREED JOURNAL PUBLICATIONS (“†” corresponding author, “__” advisee)

  1. T. Shi, Z. Wang, A. Aldossary, Y. Liu, X. S. Li, and M. Head-Gordon, "Local second order Møller-Plesset theory with a single threshold using orthogonal virtual orbitals: a distributed memory implementation," J. Chem. Theory Comput., 2024. [pdf]
  2. W. Boukaram, Y. Hong, Y. Liu, T. Shi, and X. S. Li, "Batched sparse direct solver design and evaluation in SuperLU DIST," Int. Journal of High Performance Computing Applications, 2024.[pdf]
  3. H. Luo, J.W. Demmel, Y. Cho, X. S. Li, and Y. Liu, "Non-smooth Bayesian optimization in tuning scientific aplications," Int. Journal of High Performance Computing Applications, 2024.[pdf]
  4. H. Luo, Y. Cho, J. W. Demmel, X. S. Li, and Y. Liu, "Hybrid models for mixed variables in Bayesian optimization," Journal of Computational and Graphical Statistics, 2024. [pdf]
  5. Z. Wang, A. Aldossary, T. Shi, Y. Liu, X. S. Li, and M. Head-Gordon, "Local second order Møller-Plesset theory with a single threshold using orthogonal virtual orbitals: Theory, implementation and assessment," J. Chem. Theory Comput., 2023. [pdf]
  6. Y. Liu, T. Luo, A. Rani, H. Luo, and X. Li, "Detecting resonance of radio-frequency cavities using fast direct integral equation solvers and augmented Bayesian optimization," IEEE J. Multiscale Multiphysics Comput. Tech., 2023. [pdf]
  7. L. Claus, P. Ghysels, Y. Liu, T. Nhan, R. Thirumalaisamy, A. P. S. Bhalla, and X. Li, "Sparse approximate multifrontal factorization with composite compression methods," ACM Trans. Math. Softw., 2023. [pdf]
  8. X. Li, Y. Liu, P. Lin, and P. Sao, "Newly released capabilities in distributed-memory SuperLU sparse direct solver," ACM Trans. Math. Softw., 2023. [pdf]
  9. W. Sheng, A. C. Yucel, Y. Liu, H. Guo, and E. Michielssen, "A domain decomposition based surface integral equation simulator for characterizing EM wave propagation in mine environments," IEEE Trans. Antennas Propag., 2023.
  10. M. Wang, Y. Liu, P. Ghysels, and A. C. Yucel, "VoxImp: impedance extraction simulator for voxelized structures," IEEE Trans. Antennas Propag., 2023.
  11. Y. Liu, J. Song, R. Burridge, and J. Qian, "A fast butterfly-compressed Hadamard-Babich integrator for high-frequency inhomogenous Helmholtz equations in variable media," SIAM J. Multiscale Model. Simul., 2022. [pdf]
  12. S. B. Sayed, Y. Liu, L. J. Gomez, and A. C. Yucel, "A butterfly-accelerated volume integral equation solver for broad permittivity and large-scale electromagnetic analysis," IEEE Trans. Antennas Propag., 2021.[pdf]
  13. Y. Liu, P. Ghysels, L. Claus, and X. Sherry Li "Sparse approximate multifrontal factorization with butterfly compression for high frequency wave equations,” SIAM J. Sci. Comput., 2021. [pdf]
  14. Y. Liu, X. Xing, H. Guo, E. Michielssen, P. Ghysels, and X. Sherry Li, "Butterfly factorization via randomized matrix-vector multiplications," SIAM J. Sci. Comput., 2021. [pdf]
  15. Y. Liu, and H. Yang, "A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces," J. Comput. Phys., 2019. [pdf]
  16. Y. Liu, W. Sid-Lakhdar, E. Rebrova, P. Ghysels, and X. Sherry Li, "A parallel hierarchical blocked adaptive cross approximation algorithm," Int. Journal of High Performance Computing Applications, 2019. [pdf]
  17. H. Guo, Y. Liu, J. Hu, and E. Michielssen, "A butterfly‐based direct solver using hierarchical LU factorization for Poggio‐Miller‐Chang‐Harrington‐Wu‐Tsai equations,Microw. Opt. Technol. Lett. 2018. [pdf]
  18. Y. Liu, A. C. Yucel, H. Bagci, A. C. Gilbert, and E. Michielssen, "Wavelet-enhanced plane-wave time-domain algorithm for analysis of transient scattering from electrically large conducting objects," IEEE Trans. Antennas Propag., 2017. [pdf]
  19. A. C. Yucel, W. Sheng, C. Zhou, Y. Liu, H. Bagci, and E. Michielssen, "An FMM-FFT accelerated SIE simulator for analyzing EM wave propagation in mine environments loaded with conductors,IEEE J. Multiscale and Multiphys. Comput. Techn., 2017. [pdf]
  20. Y. Liu, H. Guo, and E. Michielssen, "A HSS matrix-inspired butterfly-based direct solver for analyzing scattering from two-dimensional objects," IEEE Antennas Wireless Propag. Lett., 2016. [pdf]
  21. H. Guo, Y. Liu, J. Hu, and E. Michielssen, "A butterfly-based direct integral equation solver using hierarchical LU factorization for analyzing scattering from electrically large conducting objects," IEEE Trans. Antennas Propag., 2016. [pdf]
  22. Y. Liu, A. Al-Jarro, H. Bagci, and E. Michielssen, "Parallel PWTD-accelerated explicit solution of the time domain electric field volume integral equation," IEEE Trans. Antennas Propag., 2016. [pdf]
  23. Y. Liu, A. C. Yucel, H. Bagci, and E. Michielssen, "A scalable parallel PWTD-accelerated SIE solver for analyzing transient scattering from electrically large objects," IEEE Trans. Antennas Propag., 2016. [pdf]
  24. Y. Liu, A. C. Yucel, V. Lomakin, and E. Michielssen, "Graphics processing unit implementation of multilevel plane-wave time-domain algorithm," IEEE Antennas Wireless Propag. Lett., vol. 1, pp. 1-1, 2014. [pdf]
  25. A. C. Yucel, Y. Liu, H. Bagci, and E. Michielssen, "Statistical characterization of electromagnetic wave propagation in mine environments," IEEE Antennas Wireless Propag. Lett., vol. 12, pp. 1602-1605, 2013. [pdf]

CONFERENCE PUBLICATIONS (“†” corresponding author, “__” advisee)

  1. Y. Liu, N. Ding, P. Sao, S. Williams, and X. S. Li, "Unified communication optimization strategies for sparse triangular solver on CPU and GPU clusters," The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2023. [pdf]
  2. Y.-K Kan, X. Li, Y. Liu, J. Qiang, X. Gu, W. Fung, and Y. Hao, "Advanced modeling and optimization of nuclear physics colliders," 15th International Particle Accelerator Conference (IPAC), 2024. [pdf]
  3. Y. Liu, N. Ding, P. Sao, S. Williams, and X. S. Li, "Unified communication optimization strategies for sparse triangular solver on CPU and GPU clusters," The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2023. [pdf]
  4. G. Dinh, I. Kannan, H. Luo, C. Hong, Y. Cho, J. Demmel, X. S. Li, and Y. Liu, "Sample-Efficient Mapspace Optimization for DNN Accelerators with Bayesian Learning," ML for Computer Architecture and Systems (MLArchSys), ISCA, 2023. [pdf]
  5. Y. Cho, J. W. Demmel, J. King, X. S. Li, Y. Liu, and H. Luo, "Harnessing the crowd for autotuning high-performance computing applications," in IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023. [pdf]
  6. Y. Liu, "A comparative study of butterfly-enhanced direct integral and differential equation solvers for high-frequency electromagnetic analysis involving inhomogeneous dielectrics," 3rd URSI Atlantic Radio Science Meeting (AT-AP-RASC), 2022. [pdf]
  7. X. Zhu, Y. Liu, P. Ghysels, D. Bindal, and X. S. Li, "GPTuneBand: multi-task and multi-fidelity Bayesian optimization for autotuning large-scale high performance computing applications," SIAM PP, 2022. [pdf]
  8. Y. Cho, J. W. Demmel, X. S. Li, Y. Liu, and H. Luo, "Enhancing autotuning capability with a history database," IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2021. [pdf]
  9. Y. Liu, W. M. Sid-Lakhdar, O. Marques, X. Zhu, C. Meng, J. W. Demmel, and X. S. Li, "GPTune: multitask learning for autotuning exascale applications," PPoPP, 2021. [pdf]
  10. N. Ding, S. Williams, Y. Liu and X. S. Li, "A message-driven, multi-GPU parallel sparse triangular solver," SIAM ACDA, 2021. [pdf]
  11. NG. Chavez, E. Rebrova, Y. Liu, P. Ghysels and X. S. Li, "Scalable and memory-efficient kernel ridge regression," 34th IEEE International Parallel and Distributed Processing Symposium, 2020. [pdf]
  12. Nan Ding, Samuel Williams, Y. Liu, and X. S. Li, "Leveraging one-sided communication for sparse triangular solvers," SIAM Workshop on Combinatorial Scientific Computing, 2020. [pdf]
  13. Y. Liu, M. Jacquelin, P. Ghysels, and X. S. Li, "Highly scalable distributed-memory sparse triangular solve algorithms," SIAM Workshop on Combinatorial Scientific Computing, 2018. [pdf]
  14. E. Rebrova, G. Ghavez, Y. Liu, P. Ghysels, and X. S. Li, "A study of clustering techniques and hierarchical matrix formats for kernel ridge regression," Proc. IEEE IPDPSW, 2018. [pdf]
  15. Y. Liu, V. Lomakin, and E. Michielssen, "Graphics processing unit-accelerated implementation of the plane wave time domain algorithm," 28th Ann. Rev. Prog. Appl. Computat. Electromagn., 2012. [pdf]
  16. J. Liang, Y. Liu, W. Zhang, Y. Xu, X. Gan, and X. Wang, "Joint compressive sensing in wideband cognitive networks," in Proc. IEEE WCNC, 2010. [pdf]