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Publications
Journals
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.- 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.
- Wei, Wei, and E. A. Huerta. "Gravitational wave denoising of binary black hole mergers with deep learning." Physics Letters B 800 (2020): 135081.
- Lin, Jingxiang, Unnat Jain, and Alexander Schwing. "TAB-VCR: Tags and Attributes based VCR Baselines." Advances in Neural Information Processing Systems. 2019.
- 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.
- 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.
- Song, Yu, et al. "Deep learning-based automated image segmentation for concrete petrographic analysis." Cement and Concrete Research 135 (2020): 106118.
- 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.
- 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.
- 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).
- 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.
- 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
- 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).
- 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.
- Wei, Wei, and E. A. Huerta. "Deep learning for gravitational wave forecasting of neutron star mergers." Physics Letters B 816 (2021): 136185.
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