Hongyu Shen

25 papers A* 3B 1C 1Misc 2Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Boosting Test Performance with Importance Sampling-a Subpopulation Perspective.
AAAI
Hongyu Shen, Zhizhen Zhao
2025 J jnl
Integrating clinical knowledge and imaging for medical report generation.
Pattern Recognit. Lett.
Meng Zhao, Juncai Liu, Hongyu Shen, Bin Yan, Mingtao Pei, Yi Wang
2025 J jnl
Optimized GRU-Based Voltage Fault Prediction Method for Lithium-Ion Battery Packs in Real-Life.
Qual. Reliab. Eng. Int.
Hongyu Shen, Yuefeng Liu, Qiyan Zhao, Guoyue Xue, Tiange Zhang
2025 B conf
Retrieval from Dynamic Phrases: Generating Radiograph Reports with Phrase-Level Template and Dynamic Memory Bank.
IJCNN
Haoquan Chen, Bin Yan, Hongyu Shen, Mingtao Pei
2025 J jnl
Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing.
CoRR
Hongyu Shen, Junfeng Ni, Yixin Chen, Weishuo Li, Mingtao Pei, Siyuan Huang
2024 A* conf
Automatic Radiology Reports Generation via Memory Alignment Network.
AAAI
Hongyu Shen, Mingtao Pei, Juncai Liu, Zhaoxing Tian
2024 J jnl
Boosting Test Performance with Importance Sampling-a Subpopulation Perspective.
CoRR
Hongyu Shen, Zhizhen Zhao
2024 A* conf
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection.
NeurIPS
Hongyu Shen, Yici Yan, Zhizhen Jane Zhao
2024 J jnl
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection.
CoRR
Hongyu Shen, Yici Yan, Zhizhen Zhao
2023 J jnl
Automated morphological phenotyping using learned shape descriptors and functional maps: A novel approach to geometric morphometrics.
PLoS Comput. Biol.
Oshane O. Thomas, Hongyu Shen, Ryan L. Raaum, William E. H. Harcourt-Smith, John D. Polk, Mark Hasegawa-Johnson
2022 C conf
A Time-delay Approach to Averaging for Bounded Extremum Seeking with Discontinuous Dither and Measurement Bias
ACC
Hongyu Shen, Emilia Fridman, Hongye Su, Yang Zhu
2022 Misc conf
Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging.
ICASSP
Qing Gao, Mingtao Pei, Hongyu Shen
2022 J jnl
Learning Personalized Representations using Graph Convolutional Network.
CoRR
Hongyu Shen, Jinoh Oh, Shuai Zhao, Guoyin Wang, Tara Taghavi, Sungjin Lee
2022 J jnl
Statistically-informed deep learning for gravitational wave parameter estimation.
Mach. Learn. Sci. Technol.
Hongyu Shen, Eliu A. Huerta, Eamonn O'Shea, Prayush Kumar, Zhizhen Zhao
2020 J jnl
Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging.
CoRR
Qing Gao, Mingtao Pei, Hongyu Shen
2019 J jnl
Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers.
CoRR
Hongyu Shen, Eliu A. Huerta, Zhizhen Zhao
2019 J jnl
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
CoRR
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
2019 J jnl
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders.
CoRR
Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2019 Misc conf
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders.
ICASSP
Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2019 J jnl
Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR
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
2017 J jnl
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO.
CoRR
Daniel George, Hongyu Shen, Eliu A. Huerta
2017 J jnl
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders.
CoRR
Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao
2017 J jnl
Glitch Classification and Clustering for LIGO with Deep Transfer Learning.
CoRR
Daniel George, Hongyu Shen, Eliu A. Huerta
2016 J jnl
A study of job shop standard setup time quota.
Prod. Eng.
Haicao Song, Shuping Yi, Hongyu Shen
2009 — conf
A Time-History Analysis Algorithm of a Non-viscously Damped System Using Gauss Precise Integration.
AICI
Hongyu Shen, Zhongdong Duan