Boyu Zhang - RankMe

18 papers Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model. IEEE Access Lawhori Chakrabarti, Boyu Zhang, Hengyi Tian, Aleksandar Vakanski, Min Xian
2025	J	`jnl`	Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification. IEEE Access Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed
2025	J	`jnl`	Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? IEEE Access Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian
2025	J	`jnl`	GCSAM: Gradient Centralized Sharpness Aware Minimization. IEEE Access Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian
2025	J	`jnl`	GCSAM: Gradient Centralized Sharpness Aware Minimization. CoRR Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian
2025	J	`jnl`	Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach. CoRR Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed
2024	J	`jnl`	Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification. CoRR Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed
2023	J	`jnl`	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 Boyu Zhang, Aleksandar Vakanski, Min Xian
2023	J	`jnl`	Data-aware customization of activation functions reduces neural network error. CoRR Fuchang Gao, Boyu Zhang
2023	—	`conf`	Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation. MLSP Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
2023	J	`jnl`	Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation. CoRR Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
2022	J	`jnl`	Contrastive Metric Learning for Lithium Super-ionic Conductor Screening. SN Comput. Sci. Boyu Zhang, Shuo Wang, Fuchang Gao
2022	J	`jnl`	Predicting the Materials Properties Using a 3D Graph Neural Network With Invariant Representation. IEEE Access Boyu Zhang, Mushen Zhou, Jianzhong Wu, Fuchang Gao
2022	J	`jnl`	SepNet: A neural network for directionally correlated data. Neural Networks Fuchang Gao, Yiqing Ma, Boyu Zhang, Min Xian
2021	J	`jnl`	BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. CoRR Boyu Zhang, Aleksandar Vakanski, Min Xian
2021	—	`conf`	Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. MLSP Boyu Zhang, Aleksandar Vakanski, Min Xian
2021	J	`jnl`	Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors. CoRR Boyu Zhang, Mushen Zhou, Jianzhong Wu, Fuchang Gao
2020	J	`jnl`	A Use of Even Activation Functions in Neural Networks. CoRR Fuchang Gao, Boyu Zhang