Boyang Yu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer.
Mach. Learn. Sci. Technol., March, 2024

A Positivity-Preserving and Robust Fast Solver for Time-Fractional Convection-Diffusion Problems.
J. Sci. Comput., March, 2024

YOLO-MPAM: Efficient real-time neural networks based on multi-channel feature fusion.
Expert Syst. Appl., 2024

Efficient Classification of Malicious URLs: M-BERT - A Modified BERT Variant for Enhanced Semantic Understanding.
IEEE Access, 2024

2023
Development of a metabolite-based deep learning algorithm for clinical precise diagnosis of the progression of diabetic kidney disease.
Biomed. Signal Process. Control., May, 2023

Method of Fault Self-Healing in Distribution Network and Deep Learning Under Cloud Edge Architecture.
Int. J. Inf. Technol. Syst. Approach, 2023

Benchmarking Large Language Model Volatility.
CoRR, 2023

Improved selective background Monte Carlo simulation at Belle II with graph attention networks and weighted events.
CoRR, 2023

Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability.
CoRR, 2023

2022
Monotonicity correction for second order element finite volume methods of anisotropic diffusion problems.
J. Comput. Phys., 2022

2021
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.
CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR, 2021

A Small Range Ergodic Beamforming Method Based on Binocular Vision Positioning.
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

2018
Multi-Source News Recommender System Based on Convolutional Neural Networks.
Proceedings of the 3rd International Conference on Intelligent Information Processing, 2018

2017
Image retrieval by information fusion based on scalable vocabulary tree and robust Hausdorff distance.
EURASIP J. Adv. Signal Process., 2017

WPNet: Wallpaper Recommendation with Deep Convolutional Neural Networks.
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

2016
On exploiting location flexibility in data-intensive distributed systems.
PhD thesis, 2016

2007
A Secure Privacy-Preserving Hierarchical Location Service for Mobile Ad Hoc Networks.
Proceedings of the Mobile Ad-Hoc and Sensor Networks, Third International Conference, 2007


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