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ORCIDBoyu Zhang 0004
Person information
- affiliation: University of Idaho, Department of Computer Science, College of Engineering, Moscow, ID, USA
- affiliation (PhD 2015): Harbin Institute of Technology, Department of computer science and technology, China
Other persons with the same name
- Boyu Zhang — disambiguation page
- Boyu Zhang 0001
![[0000-0002-4094-3017]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4094-3017")
— University of Wisconsin, Electrical and Computer Engineering Department, WI, USA - Boyu Zhang 0002 — University of Delaware, Department of Computer and Information Sciences, Newark, DE, USA
- Boyu Zhang 0003 — Tsinghua University, Department of Biomedical Engineering, School of Medicine, Beijing, China
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2020 – today
- 2025
[j5]Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed:
Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification. IEEE Access 13: 37724-37736 (2025)- [i8]Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian:
GCSAM: Gradient Centralized Sharpness Aware Minimization. CoRR abs/2501.11584 (2025) - [i7]Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed:
Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach. CoRR abs/2503.22939 (2025) - 2024
- [i6]Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed:
Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification. CoRR abs/2410.05325 (2024) - 2023
- [j4]Boyu Zhang, Aleksandar Vakanski, Min Xian:
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 11: 79480-79494 (2023) - [c2]Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang:
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation. MLSP 2023: 1-6 - [i5]Fuchang Gao, Boyu Zhang:
Data-aware customization of activation functions reduces neural network error. CoRR abs/2301.06635 (2023) - [i4]Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang:
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation. CoRR abs/2308.14213 (2023) - 2022
- [j3]Boyu Zhang, Mushen Zhou, Jianzhong Wu, Fuchang Gao:
Predicting the Materials Properties Using a 3D Graph Neural Network With Invariant Representation. IEEE Access 10: 62440-62449 (2022) - [j2]Fuchang Gao, Yiqing Ma, Boyu Zhang, Min Xian:
SepNet: A neural network for directionally correlated data. Neural Networks 153: 215-223 (2022) - [j1]Boyu Zhang, Shuo Wang, Fuchang Gao:
Contrastive Metric Learning for Lithium Super-ionic Conductor Screening. SN Comput. Sci. 3(6): 465 (2022) - 2021
- [c1]Boyu Zhang, Aleksandar Vakanski, Min Xian:
Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. MLSP 2021: 1-6 - [i3]Boyu Zhang, Mushen Zhou, Jianzhong Wu, Fuchang Gao:
Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors. CoRR abs/2102.11023 (2021) - [i2]Boyu Zhang, Aleksandar Vakanski, Min Xian:
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. CoRR abs/2110.04069 (2021) - 2020
- [i1]Fuchang Gao, Boyu Zhang:
A Use of Even Activation Functions in Neural Networks. CoRR abs/2011.11713 (2020)
Coauthor Index
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