Hongru Yang

Orcid: 0009-0005-3888-7588

According to our database1, Hongru Yang authored at least 20 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
PESA: error sensitivity analysis tool for floating-point computational programs.
J. Supercomput., February, 2025

Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis.
J. Mach. Learn. Res., 2025

Scalable Detection of Floating-Point Errors via Adaptive Parallel Subdomain Search.
Proceedings of the 25th International Conference on Software Quality, 2025

AutoFPIR: A Automatic Conversion Tool for Floating-point Program to Equivalent Intermediate Representation.
Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GATUNER:Genetic Algorithm Applied to Floating-Point Precision Tuning.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK.
J. Mach. Learn. Res., 2024

Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Arfa: An Agile Regime-Based Floating-Point Optimization Approach for Rounding Errors.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

LCOC: A Low-cost Optimizing Compiler for Large Scale Quantum Programs Towards Realistic Hardware.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

2023
Pruning Before Training May Improve Generalization, Provably.
CoRR, 2023

Convergence and Generalization of Wide Neural Networks with Large Bias.
CoRR, 2023

Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial Extrapolation.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

AMPT: Automatic Mixed-Precision Tuning Based on Accuracy Gain.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
On the Neural Tangent Kernel Analysis of Randomly Pruned Wide Neural Networks.
CoRR, 2022

2021
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition.
SIAM J. Sci. Comput., 2021

Application of multivariate statistics and 3D visualization analysis in tacit knowledge diffusion map.
Displays, 2021

2020
Continuous Regular Functions.
Log. Methods Comput. Sci., 2020

2019
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition.
CoRR, 2019


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