Hongyu Shen

According to our database, Hongyu Shen authored at least 20 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing.

Hongyu Shen, Junfeng Ni, Yixin Chen, Weishuo Li, Mingtao Pei, Siyuan Huang

CoRR, August, 2025

Optimized GRU-Based Voltage Fault Prediction Method for Lithium-Ion Battery Packs in Real-Life.

Hongyu Shen, Yuefeng Liu, Qiyan Zhao, Guoyue Xue, Tiange Zhang

Qual. Reliab. Eng. Int., April, 2025

Integrating clinical knowledge and imaging for medical report generation.

Meng Zhao, Juncai Liu, Hongyu Shen, Bin Yan, Mingtao Pei, Yi Wang

Pattern Recognit. Lett., 2025

Boosting Test Performance with Importance Sampling-a Subpopulation Perspective.

Hongyu Shen, Zhizhen Zhao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection.

Hongyu Shen, Yici Yan, Zhizhen Jane Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Automatic Radiology Reports Generation via Memory Alignment Network.

Hongyu Shen, Mingtao Pei, Juncai Liu, Zhaoxing Tian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Automated morphological phenotyping using learned shape descriptors and functional maps: A novel approach to geometric morphometrics.

Oshane O. Thomas, Hongyu Shen, Ryan L. Raaum, William E. H. Harcourt-Smith, John D. Polk, Mark Hasegawa-Johnson

PLoS Comput. Biol., January, 2023

2022

Statistically-informed deep learning for gravitational wave parameter estimation.

Hongyu Shen, Eliu A. Huerta, Eamonn O'Shea, Prayush Kumar, Zhizhen Zhao

Mach. Learn. Sci. Technol., 2022

Learning Personalized Representations using Graph Convolutional Network.

Hongyu Shen, Jinoh Oh, Shuai Zhao, Guoyin Wang, Tara Taghavi, Sungjin Lee

CoRR, 2022

Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging.

Qing Gao, Mingtao Pei, Hongyu Shen

Proceedings of the IEEE International Conference on Acoustics, 2022

A Time-delay Approach to Averaging for Bounded Extremum Seeking with Discontinuous Dither and Measurement Bias ^*.

Hongyu Shen, Emilia Fridman, Hongye Su, Yang Zhu

Proceedings of the American Control Conference, 2022

2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

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

CoRR, 2019

Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers.

Hongyu Shen, Eliu A. Huerta, Zhizhen Zhao

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

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

CoRR, 2019

Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders.

Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders.

Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao

CoRR, 2017

Glitch Classification and Clustering for LIGO with Deep Transfer Learning.

Daniel George, Hongyu Shen, Eliu A. Huerta

CoRR, 2017

Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO.

Daniel George, Hongyu Shen, Eliu A. Huerta

CoRR, 2017

2016

A study of job shop standard setup time quota.

Haicao Song, Shuping Yi, Hongyu Shen

Prod. Eng., 2016

2009

A Time-History Analysis Algorithm of a Non-viscously Damped System Using Gauss Precise Integration.

Hongyu Shen, Zhongdong Duan

Proceedings of the Artificial Intelligence and Computational Intelligence, 2009