Publications by authors named "Ping Xuan"

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F
Fourier Transform and Kolmogorov-Arnold Network Enhanced Relation-Aware Generative and Adversarial Network for miRNA-Disease Association Prediction.
Dongliang Chen, Chunxu Xu, Ping Xuan, Mengxia Wang, Tiangang Zhang

IEEE Trans Comput Biol Bioinform· December 2025

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The Application of Gamification in Children's Oral Health Management: Systematic Review.
Jinsong Chen, Ying Ying, Mingli Pang, Jiahao Chen, Ting Kang, Ping Xuan

J Med Internet Res· November 2025

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Comparative effects of enteral nutrition strategies on nutritional indices, inflammatory factors, and clinical outcomes in patients with severe traumatic brain injury.
Hongmin Chen, Zifang Li, Ping Xuan, Lixia Yu

Am J Transl Res· October 2025

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Risk factors and preventive strategies for postoperative cerebral infarction in patients with hypertensive intracerebral hemorrhage.
Lixia Yu, Ping Xuan, Zifang Li, Hongmin Chen

Am J Transl Res· October 2025

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Hypergraph Learning with Hyperedge Gating and Multiscale Topology Feature Learning for Predicting Disease-Related circRNAs.
Ping Xuan, Runguang Zheng, Hui Cui, Fengjiao Sun, Fei Wang

ACS Omega· October 2025

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HRProtoKD: A hierarchical and relational prototype based knowledge distillation framework for few-shot cancer molecular subtyping.
Fei Guo, Rui Shi, Jia Zhou, Junlin Xu, Hui Cui, Ping Xuan

IEEE J Biomed Health Inform· September 2025

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Structure-sensitive transformer and multi-view graph contrastive learning enhanced prediction of drug-related microbes.
Ping Xuan, Rui Wang, Jing Gu, Hui Cui, Tiangang Zhang

BMC Bioinformatics· September 2025

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A multi-scale neighbor topology guided transformer and Kolmogorov-Arnold network enhanced feature learning model for disease-related circRNA prediction.
Ping Xuan, Haoyuan Li, Hui Cui, Zelong Xu, Toshiya Nakaguchi

IEEE J Biomed Health Inform· August 2025

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ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images.
Linkuan Zhou, Zhexin Chen, Yufei Shen, Junlin Xu, Ping Xuan

IEEE J Biomed Health Inform· August 2025

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KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction.
Dongliang Chen, Tiangang Zhang, Hui Cui, Jing Gu, Ping Xuan

J Chem Inf Model· May 2025

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Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects.
Ping Xuan, Tianhong Cheng, Hui Cui, Jing Gu, Qiangguo Jin

J Chem Inf Model· May 2025

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Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs.
Ping Xuan, Xiaoying Qi, Sentao Chen, Jing Gu, Xiuju Wang

J Chem Inf Model· February 2025

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Interactive multi-hypergraph inferring and channel-enhanced and attribute-enhanced learning for drug-related side effect prediction.
Ping Xuan, Shien Wu, Hui Cui, Peiru Li, Toshiya Nakaguchi

Comput Biol Med· January 2025

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Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction.
Jing Gu, Tiangang Zhang, Yihang Gao, Sentao Chen, Yuxin Zhang, Ping Xuan

J Chem Inf Model· January 2025

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Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations.
Ping Xuan, Chunhong Guan, Sentao Chen, Jing Gu, Xiuju Wang

J Chem Inf Model· October 2024

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D
Dynamic category-sensitive hypergraph inferring and homo-heterogeneous neighbor feature learning for drug-related microbe prediction.
Ping Xuan, Zelong Xu, Hui Cui, Jing Gu, Cheng Liu

Bioinformatics· September 2024

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Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction.
Ping Xuan, Wei Wang, Hui Cui, Shuai Wang, Toshiya Nakaguchi

J Chem Inf Model· August 2024

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Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction.
Ping Xuan, Xiuju Wang, Hui Cui, Xiangfeng Meng, Toshiya Nakaguchi

IEEE J Biomed Health Inform· July 2024

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Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images.
Ping Xuan, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang

Comput Biol Med· July 2024

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Graph reasoning method enhanced by relational transformers and knowledge distillation for drug-related side effect prediction.
Honglei Bai, Siyuan Lu, Tiangang Zhang, Hui Cui, Toshiya Nakaguchi, Ping Xuan

iScience· June 2024

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Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs.
Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi

J Chem Inf Model· April 2024

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Mutually enhanced multi-view information learning for segmentation of lung tumor in CT images.
Ping Xuan, Yinfeng Xu, Hui Cui, Qiangguo Jin, Linlin Wang

Phys Med Biol· March 2024

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DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins.
Xiaokun Li, Qiang Yang, Long Xu, Weihe Dong, Gongning Luo, Ping Xuan

Bioinformatics· March 2024

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C
Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs.
Ping Xuan, Jinshan Xiu, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi

iScience· February 2024

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SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug-target interactions.
Xiaokun Li, Qiang Yang, Gongning Luo, Long Xu, Weihe Dong, Ping Xuan

Bioinform Adv· August 2023

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