Hongyu Shen

Orcid: 0009-0009-2161-4443

According to our database1, Hongyu Shen authored at least 23 papers between 2009 and 2026.

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Timeline

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Bibliography

2026
Lifting Unlabeled Internet-level Data for 3D Scene Understanding.
CoRR, April, 2026

2025
Optimized GRU-Based Voltage Fault Prediction Method for Lithium-Ion Battery Packs in Real-Life.
Qual. Reliab. Eng. Int., April, 2025

Integrating clinical knowledge and imaging for medical report generation.
Pattern Recognit. Lett., 2025

G<sup>2</sup>M: A Generalized Gaussian Mirror Method to Boost Feature Selection Power.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Retrieval from Dynamic Phrases: Generating Radiograph Reports with Phrase-Level Template and Dynamic Memory Bank.
Proceedings of the International Joint Conference on Neural Networks, 2025

Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Boosting Test Performance with Importance Sampling-a Subpopulation Perspective.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Automatic Radiology Reports Generation via Memory Alignment Network.
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.
PLoS Comput. Biol., January, 2023

2022
Statistically-informed deep learning for gravitational wave parameter estimation.
Mach. Learn. Sci. Technol., 2022

Learning Personalized Representations using Graph Convolutional Network.
CoRR, 2022

Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging.
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 <sup>*</sup>.
Proceedings of the American Control Conference, 2022

2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR, 2019

Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers.
CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
CoRR, 2019

Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders.
CoRR, 2017

Glitch Classification and Clustering for LIGO with Deep Transfer Learning.
CoRR, 2017

Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO.
CoRR, 2017

2016
A study of job shop standard setup time quota.
Prod. Eng., 2016

2009
A Time-History Analysis Algorithm of a Non-viscously Damped System Using Gauss Precise Integration.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009


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