Boyu Zhang

Orcid: 0000-0002-9401-6163

Affiliations:
  • University of Idaho, Department of Computer Science, College of Engineering, Moscow, ID, USA
  • Harbin Institute of Technology, Department of computer science and technology, China (PhD 2015)


According to our database1, Boyu Zhang authored at least 15 papers between 2020 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach.
CoRR, March, 2025

GCSAM: Gradient Centralized Sharpness Aware Minimization.
CoRR, January, 2025

Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis?
IEEE Access, 2025

Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model.
IEEE Access, 2025

Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification.
IEEE Access, 2025

2024
Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification.
CoRR, 2024

2023
Data-aware customization of activation functions reduces neural network error.
CoRR, 2023

BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations.
IEEE Access, 2023

Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022
Contrastive Metric Learning for Lithium Super-ionic Conductor Screening.
SN Comput. Sci., 2022

SepNet: A neural network for directionally correlated data.
Neural Networks, 2022

Predicting the Materials Properties Using a 3D Graph Neural Network With Invariant Representation.
IEEE Access, 2022

2021
Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors.
CoRR, 2021

Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020
A Use of Even Activation Functions in Neural Networks.
CoRR, 2020


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