A Use of Even Activation Functions in Neural Networks. - Fuchang Gao; Boyu Zhang 004 (CoRR, 2020)

Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. - Boyu Zhang 004; Aleksandar Vakanski; Min Xian (MLSP, 2021)

Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors. - Boyu Zhang 004; Mushen Zhou; Jianzhong Wu; Fuchang Gao (CoRR, 2021)

Predicting the Materials Properties Using a 3D Graph Neural Network With Invariant Representation. - Boyu Zhang 004; Mushen Zhou; Jianzhong Wu; Fuchang Gao (IEEE Access, 2022)

SepNet: A neural network for directionally correlated data. - Fuchang Gao; Yiqing Ma; Boyu Zhang 004; Min Xian (Neural Networks, 2022)

Contrastive Metric Learning for Lithium Super-ionic Conductor Screening. - Boyu Zhang 004; Shuo Wang; Fuchang Gao (SN Comput. Sci., 2022)

Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation. - Mohammad Karimzadeh; Aleksandar Vakanski; Min Xian; Boyu Zhang 004 (MLSP, 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. - Boyu Zhang 004; Aleksandar Vakanski; Min Xian (IEEE Access, 2023)

Data-aware customization of activation functions reduces neural network error. - Fuchang Gao; Boyu Zhang 004 (CoRR, 2023)

Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification. - Fadi Alharbi; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (CoRR, 2024)

Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification. - Fadi Alharbi; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (IEEE Access, 2025)

Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model. - Lawhori Chakrabarti; Boyu Zhang 004; Hengyi Tian; Aleksandar Vakanski; Min Xian (IEEE Access, 2025)

Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? - Mohamed Hassan; Aleksandar Vakanski; Boyu Zhang 004; Min Xian (IEEE Access, 2025)

GCSAM: Gradient Centralized Sharpness Aware Minimization. - Mohamed Hassan; Aleksandar Vakanski; Boyu Zhang 004; Min Xian (CoRR, 2025)

Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach. - Fadi Alharbi; Nishant Budhiraja; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (CoRR, 2025)