Versions Compared

Old Version 74

changes.mady.by.user Dawei Mu

Saved on

compared with

New Version 75

changes.mady.by.user Dawei Mu

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Table of Contents

Publications

Journals

  1. Spacetime Neural Network for High Dimensional Quantum Dynamics

    Graber, Colin, and Alexander Schwing. "Graph Structured Prediction Energy Networks." Advances in Neural Information Processing Systems. 2019.
  2. Burke, Colin J., et al. "Deblending and classifying astronomical sources with Mask R-CNN deep learning." Monthly Notices of the Royal Astronomical Society 490.3 (2019): 3952-3965.
  3. Wei, Wei, and E. A. Huerta. "Gravitational wave denoising of binary black hole mergers with deep learning." Physics Letters B 800 (2020): 135081.
  4. Lin, Jingxiang, Unnat Jain, and Alexander Schwing. "TAB-VCR: Tags and Attributes based VCR Baselines." Advances in Neural Information Processing Systems. 2019.
  5. Wei, Wei, et al. "Deep transfer learning for star cluster classification: I. application to the PHANGS–HST survey." Monthly Notices of the Royal Astronomical Society 493.3 (2020): 3178-3193.

  6. Teixeira, Thiago SFX, William Gropp, and David Padua. "Managing code transformations for better performance portability." The International Journal of High Performance Computing Applications 33.6 (2019): 1290-1306.

  7. Venkatakrishnan, Ramshankar, Ashish Misra, and Volodymyr Kindratenko. "High-Level Synthesis-Based Approach for Accelerating Scientific Codes on FPGAs." Computing in Science & Engineering 22.4 (2020): 104-109.
  8. Song, Yu, et al. "Deep learning-based automated image segmentation for concrete petrographic analysis." Cement and Concrete Research 135 (2020): 106118.
  9. Khan, Asad, E. A. Huerta, and Arnav Das. "Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers." Physics Letters B, Volume 808, 2020, 135628, ISSN 0370-2693, https://doi.org/10.1016/j.physletb.2020.135628.
  10. Kandel, Mikhail E., Yuchen R. He, Young Jae Lee, Taylor Hsuan-Yu Chen, Kathryn Michele Sullivan, Onur Aydin, M. Taher A. Saif, Hyunjoon Kong, Nahil Sobh, and Gabriel Popescu. "Phase Imaging with Computational Specificity (PICS) for measuring dry mass changes in sub-cellular compartments." Nature Communications 11, no. 1 (2020): 1-10.
  11. Liao, Wu-Yu, En-Jui Lee, Dawei Mu, Po Chen, and Ruey-Juin Rau. "ARRU Phase Picker: Attention Recurrent?Residual U-Net for Picking Seismic P- and S- Phase Arrivals." Seismological Research Letters (2021).
  12. Moradzadeh, A., and N. R. Aluru. "Understanding simple liquids through statistical and deep learning approaches." The Journal of Chemical Physics 154, no. 20 (2021): 204503.
  13. Huerta, E.A., Khan, A., Huang, X. et al. Accelerated, scalable and reproducible AI-driven gravitational wave detection. Nat Astron (2021).  https://www.nature.com/articles/s41550-021-01405-0
  14. Zhang, Xiaofan, Yuan Ma, Jinjun Xiong, Wen-mei Hwu, Volodymyr Kindratenko, and Deming Chen. "Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2021).
  15. Ramachandran, Anand, Steven S. Lumetta, Eric W. Klee, and Deming Chen. "HELLO: improved neural network architectures and methodologies for small variant calling." BMC Bioinformatics 22, no. 1 (2021): 1-31.
  16. Wei, Wei, and E. A. Huerta. "Deep learning for gravitational wave forecasting of neutron star mergers." Physics Letters B 816 (2021): 136185.

  17. Anjum, Omer, Mohammad Almasri, Simon Garcia de Gonzalo, and Wen-mei Hwu. "An Efficient GPU Implementation and Scaling for Higher-Order 3D Stencils." Information Sciences (2021).

...