Ping Xuan
Orcid: 0000-0001-5328-691X
According to our database1,
Ping Xuan
authored at least 54 papers
between 1997 and 2024.
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Bibliography
2024
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes.
Bioinform., February, 2024
2023
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations.
J. Chem. Inf. Model., November, 2023
Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction.
Comput. Biol. Medicine, September, 2023
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation.
Appl. Soft Comput., January, 2023
Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction.
IEEE J. Biomed. Health Informatics, 2022
Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes.
Knowl. Based Syst., 2022
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.
Comput. Methods Programs Biomed., 2022
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.
Briefings Bioinform., 2022
multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction.
Briefings Bioinform., 2022
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction.
Briefings Bioinform., 2022
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.
Briefings Bioinform., 2022
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction.
Briefings Bioinform., 2022
Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction.
Briefings Bioinform., 2022
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs.
Briefings Bioinform., 2022
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction.
Briefings Bioinform., 2022
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets.
Briefings Bioinform., 2022
Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks.
Algorithms, 2022
2021
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations.
IEEE J. Biomed. Health Informatics, 2021
Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction.
Briefings Bioinform., 2021
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.
Briefings Bioinform., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions.
BMC Bioinform., 2020
2019
Drug repositioning through integration of prior knowledge and projections of drugs and diseases.
Bioinform., 2019
PRME-GTS: A New Successive POI Recommendation Model with Temporal and Social Influences.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
2018
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network.
Bioinform., 2018
2017
SA-Min: An Efficient Algorithm for Minimizing the Spread of Influence in a Social Network.
Proceedings of the Wireless Sensor Networks, 2017
2015
Bioinform., 2015
2013
Bioinform., 2013
2011
Bioinform., 2011
2010
Int. J. Bioinform. Res. Appl., 2010
Two-stage clustering based effective sample selection for classification of pre-miRNAs.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009
2007
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007
2004
Auton. Agents Multi Agent Syst., 2004
2002
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002
2001
Proceedings of the Fifth International Conference on Autonomous Agents, 2001
2000
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000
Proceedings of the Issues in Agent Communication, 2000
1999
Proceedings of the Intelligent Agents VI, 1999
Proceedings of the Third Annual Conference on Autonomous Agents, 1999
1997
Broadcast on Demand: Efficient and Timely Dissemination of Data in Mobile Environments.
Proceedings of the 3rd IEEE Real-Time Technology and Applications Symposium, 1997