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ORCIDHongyu Shen
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2020 – today
- 2024
[c5]Hongyu Shen, Mingtao Pei, Juncai Liu, Zhaoxing Tian:
Automatic Radiology Reports Generation via Memory Alignment Network. AAAI 2024: 4776-4783- [i10]Hongyu Shen, Yici Yan, Zhizhen Zhao:
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection. CoRR abs/2402.17176 (2024) - 2023
- [j3]Oshane O. Thomas
, Hongyu Shen, Ryan L. Raaum, William E. H. Harcourt-Smith, John D. Polk, Mark Hasegawa-Johnson:
Automated morphological phenotyping using learned shape descriptors and functional maps: A novel approach to geometric morphometrics. PLoS Comput. Biol. 19(1) (2023) - 2022
- [j2]Hongyu Shen, Eliu A. Huerta, Eamonn O'Shea, Prayush Kumar, Zhizhen Zhao:
Statistically-informed deep learning for gravitational wave parameter estimation. Mach. Learn. Sci. Technol. 3(1): 15007 (2022) - [c4]Hongyu Shen, Emilia Fridman, Hongye Su, Yang Zhu:
A Time-delay Approach to Averaging for Bounded Extremum Seeking with Discontinuous Dither and Measurement Bias *. ACC 2022: 5117-5122 - [c3]Qing Gao, Mingtao Pei, Hongyu Shen:
Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging. ICASSP 2022: 1845-1849 - [i9]Hongyu Shen, Jinoh Oh, Shuai Zhao, Guoyin Wang, Tara Taghavi, Sungjin Lee:
Learning Personalized Representations using Graph Convolutional Network. CoRR abs/2207.14298 (2022) - 2020
- [i8]Qing Gao, Mingtao Pei, Hongyu Shen:
Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging. CoRR abs/2011.12102 (2020)
2010 – 2019
- 2019
- [c2]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders. ICASSP 2019: 3237-3241 - [i7]Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR abs/1902.00522 (2019) - [i6]Hongyu Shen, Eliu A. Huerta, Zhizhen Zhao:
Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers. CoRR abs/1903.01998 (2019) - [i5]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders. CoRR abs/1903.03105 (2019) - [i4]Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - 2017
- [i3]Daniel George, Hongyu Shen, Eliu A. Huerta:
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO. CoRR abs/1706.07446 (2017) - [i2]Daniel George, Hongyu Shen, Eliu A. Huerta:
Glitch Classification and Clustering for LIGO with Deep Transfer Learning. CoRR abs/1711.07468 (2017) - [i1]Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. CoRR abs/1711.09919 (2017) - 2016
- [j1]Haicao Song, Shuping Yi, Hongyu Shen:
A study of job shop standard setup time quota. Prod. Eng. 10(2): 185-196 (2016)
2000 – 2009
- 2009
- [c1]Hongyu Shen, Zhongdong Duan:
A Time-History Analysis Algorithm of a Non-viscously Damped System Using Gauss Precise Integration. AICI 2009: 221-230
Coauthor Index
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