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  1. 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. Pu?cian, Alicja, Maciej Winiarski, Szymon ??ski, ?ukasz Charzewski, Tomasz Nikolaev, Joanna Borowska, Jakub M. Dzik et al. "Chronic fluoxetine treatment impairs motivation and reward learning by affecting neuronal plasticity in the central amygdala." British Journal of Pharmacology (2020).
  12. Liao, Wu-Yu, En-Jui Lee, Dawei Mu, Po Chen, and Ruey-Juin Rau. "ARRU Phase Picker: Attention Recurrent?Residual 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).
  13. 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.
  14. 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/s41550-021-01405-0Zhang, 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).  https://www.nature.com/articles/s41550-021-01405-0
  15. 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)Lou, Jun, Xiaoxu Yang, Weixi Shan, Zhe Jin, Jianhong Ding, Yanxia Hu, Qiushi Liao, Qian Du, Rui Xie, and Jingyu Xu. "Effects of calcium?permeable ion channels on various digestive diseases in the regulation of autophagy." Molecular Medicine Reports 24, no. 3 (2021): 1-11.
  16. 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.

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