Ping Xuan

Heilongjiang University of Science and Technology — China

Computer Science · Physical Sciences

33h-index3.8kcitations157works3.62yr avg
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Research Topics

Computational Drug Discovery Methods(36), Cancer-related molecular mechanisms research(35), Bioinformatics and Genomic Networks(32), MicroRNA in disease regulation(23), Circular RNAs in diseases(23)

Publications157 total

A Detection Approach for Traumatic Bleeding Based on the Fusion of Deep Learning Networks and Multi Thresholds
Journal of Physics Conference Series·2025Open Access
Fourier Transform and Kolmogorov-Arnold Network Enhanced Relation-Aware Generative and Adversarial Network for miRNA-Disease Association Prediction
IEEE Transactions on Computational Biology and Bioinformatics·2025
Hypergraph Learning with Hyperedge Gating and Multiscale Topology Feature Learning for Predicting Disease-Related circRNAs
ACS Omega·2025Open Access
Structure-sensitive transformer and multi-view graph contrastive learning enhanced prediction of drug-related microbes
BMC Bioinformatics·2025Open Access
PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network
Engineering Applications of Artificial Intelligence·2025· 3 cited
18. KNOWLEDGE ABOUT CEREBRAL STROKE PREVENTION AMONG HYPERTENSIVE PATIENTS AT NINH BINH PROVINCIAL GENERAL HOSPITAL IN 2023 AND ASSOCIATED FACTORS
Tạp chí Y học Cộng đồng·2025Open Access
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
Knowledge-Based Systems·2025· 22 citedOpen Access
Identification and Expression Analysis of NAC Transcription Factors Related to Rust Resistance in Foxtail Millet
Plants·2025Open Access
Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects
Journal of Chemical Information and Modeling·2025· 4 cited
KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction
Journal of Chemical Information and Modeling·2025· 3 cited
Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs
Journal of Chemical Information and Modeling·2025· 5 cited
Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction
Journal of Chemical Information and Modeling·2025· 5 cited
HRProtoKD: A hierarchical and relational prototype based knowledge distillation framework for few-shot cancer molecular subtyping
IEEE Journal of Biomedical and Health Informatics·2025
ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images
IEEE Journal of Biomedical and Health Informatics·2025· 9 cited
A multi-scale neighbor topology guided transformer and Kolmogorov-Arnold network enhanced feature learning model for disease-related circRNA prediction
IEEE Journal of Biomedical and Health Informatics·2025
Joint Distribution Weighted Alignment for Multi-Source Domain Adaptation via Kernel Relative Entropy Estimation
IEEE Transactions on Multimedia·2025· 2 cited
CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering
arXiv (Cornell University)·2025Open Access
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes
arXiv (Cornell University)·2024Open Access
MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction
2024· 4 cited
TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes
2024· 3 cited
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Frequent Co-authors

Tiangang Zhang(24), Maozu Guo(9), Victor Lesser(9), Hui Cui(9), Yahong Guo(6), Nan Sheng(6), Qiguo Dai(5), Jin Li(5), Zhixia Teng(5), Yufei Huang(5), Toshiya Nakaguchi(5), Jinbao Li(4), Jian Ding(4), Bryan Horling(4), Yangkun Cao(4), Tonghui Shen(4), Yong Liu(3), Shuxiang Pan(3), Chunyu Wang(3), Chang Sun(3)