Nan Sheng
Orcid: 0009-0001-5263-4166
According to our database1,
Nan Sheng
authored at least 44 papers
between 2011 and 2025.
Collaborative distances:
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Bibliography
2025
HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set.
Expert Syst. Appl., 2025
2024
BMC Bioinform., December, 2024
Graph pooling in graph neural networks: methods and their applications in omics studies.
Artif. Intell. Rev., November, 2024
Multim. Syst., October, 2024
Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering.
Expert Syst. Appl., March, 2024
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
PGCL: Prompt guidance and self-supervised contrastive learning-based method for Visual Question Answering.
Expert Syst. Appl., 2024
Solving high-dimensional Hamilton-Jacobi-Bellman equation with functional hierarchical tensor.
CoRR, 2024
A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers.
Briefings Bioinform., 2024
Multi-view learning framework for predicting unknown types of cancer markers via directed graph neural networks fitting regulatory networks.
Briefings Bioinform., 2024
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer.
Briefings Bioinform., 2024
Incipient fault detection with probability transformation and statistical feature analysis.
Autom., 2024
Design of artificial intelligence auxiliary system for elderly care service based on big data analysis.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024
2023
X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction.
Comput. Biol. Medicine, December, 2023
BMC Bioinform., December, 2023
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases.
Briefings Bioinform., September, 2023
Comput. Biol. Medicine, February, 2023
Partial Residuated Implications Induced by Partial Triangular Norms and Partial Residuated Lattices.
Axioms, January, 2023
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Expert Syst. Appl., 2023
Too much overload and concerns: Antecedents of social media fatigue and the mediating role of emotional exhaustion.
Comput. Hum. Behav., 2023
Research on intelligent elderly care service information system based on machine learning.
Proceedings of the 5th International Conference on Internet of Things, 2023
Proceedings of the Advances in Computer Graphics, 2023
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Nat. Comput. Sci., 2022
Partial Residuated Implications Derived from Partial Triangular Norms and Partial Residuated Lattices.
CoRR, 2022
MMGraph: a multiple motif predictor based on graph neural network and coexisting probability for ATAC-seq data.
Bioinform., 2022
Briefings Bioinform., 2022
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets.
Briefings Bioinform., 2022
RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
Enhancing light olefins and aromatics production from naphthenic-based vacuum gas oil: Process integration, techno-economic analysis and life cycle environmental assessment.
Comput. Chem. Eng., 2021
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.
Briefings Bioinform., 2021
2016
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
3D facial expression recognition using distance features and LBP features based on automatically detected keypoints.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
2015
Proceedings of the Intelligent Robotics and Applications - 8th International Conference, 2015
2012
Power coverage and multipath diversity for indoor distributed antenna system based on wideband channel measurement at 6 GHz.
Proceedings of the 15th International Symposium on Wireless Personal Multimedia Communications, 2012
2011
Analysis and modeling of spatial characteristics in urban microscenario of heterogeneous network.
EURASIP J. Wirel. Commun. Netw., 2011
Capacity Analysis of Intra-Site Coordinated Multi-Points (CoMP) Scheme Based on a Measurement at 2.35 GHz.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011
Downlink Performance of Indoor Distributed Antenna Systems Based on Wideband MIMO Measurement at 5.25 GHz.
Proceedings of the 74th IEEE Vehicular Technology Conference, 2011