Xiucai Ye
Orcid: 0000-0002-5547-3919
According to our database1,
Xiucai Ye
authored at least 76 papers
between 2011 and 2024.
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Collaborative distances:
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Bibliography
2024
IEA-DP: Information Entropy-driven Adaptive Differential Privacy Protection Scheme for social networks.
J. Supercomput., September, 2024
Entropy-driven differential privacy protection scheme based on social graphlet attributes.
J. Supercomput., April, 2024
Peer Peer Netw. Appl., January, 2024
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery.
Comput. Biol. Medicine, January, 2024
IEEE Open J. Comput. Soc., 2024
Future Gener. Comput. Syst., 2024
GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing.
Future Gener. Comput. Syst., 2024
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor.
CoRR, 2024
Comput. Biol. Medicine, 2024
CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion.
Simul. Model. Pract. Theory, December, 2023
Unravelling cancer subtype-specific driver genes in single-cell transcriptomics data with CSDGI.
PLoS Comput. Biol., December, 2023
J. Cheminformatics, December, 2023
A novel Sybil attack detection scheme in mobile IoT based on collaborate edge computing.
EURASIP J. Wirel. Commun. Netw., December, 2023
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
Bioinform., October, 2023
Comput. Biol. Medicine, September, 2023
Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning.
Future Gener. Comput. Syst., May, 2023
Dimension-aware under spatiotemporal constraints: an efficient privacy-preserving framework with peak density clustering.
J. Supercomput., March, 2023
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.
Briefings Bioinform., January, 2023
PeerJ Comput. Sci., 2023
Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing.
PeerJ Comput. Sci., 2023
Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data.
Frontiers Comput. Sci., 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Multi-omics clustering based on interpretable and discriminative features for cancer subtyping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment.
Sensors, 2022
Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma.
J. Biomed. Informatics, 2022
Anonymous Dynamic Group Authenticated Key Agreements Using Physical Unclonable Functions for Internet of Medical Things.
IEEE Internet Things J., 2022
Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy.
Entropy, 2022
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.
Bioinform., 2022
NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank.
Bioinform., 2022
iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism.
Briefings Bioinform., 2022
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving.
Briefings Bioinform., 2022
ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information.
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022
Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022
2021
CoRR, 2021
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism.
Briefings Bioinform., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
2020
An oversampling framework for imbalanced classification based on Laplacian eigenmaps.
Neurocomputing, 2020
Intell. Data Anal., 2020
Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm.
Comput. Biol. Medicine, 2020
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning.
Briefings Bioinform., 2020
Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer.
IEEE Access, 2020
Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
IEEE Access, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning.
J. Univers. Comput. Sci., 2018
Intell. Data Anal., 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
2017
Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data.
J. Comput. Sci. Eng., December, 2017
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017
Proceedings of the 1st International Conference on Medical and Health Informatics, 2017
2016
Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
J. Supercomput., 2015
Collecting all data continuously in wireless sensor networks with a mobile base station.
Int. J. Comput. Sci. Eng., 2015
An Efficient Connected Dominating Set Algorithm in WSNS Based on the Induced Tree of the Crossed Cube.
Int. J. Appl. Math. Comput. Sci., 2015
LT codes based distributed coding for efficient distributed storage in Wireless Sensor Networks.
Proceedings of the 14th IFIP Networking Conference, 2015
Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Distributed Separate Coding for Continuous Data Collection in Wireless Sensor Networks.
ACM Trans. Sens. Networks, 2014
2013
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013
2012
Proceedings of the 75th IEEE Vehicular Technology Conference, 2012
Multi-objective Optimization Based Virtual Resource Allocation Strategy for Cloud Computing.
Proceedings of the 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, Shanghai, China, May 30, 2012
2011
Proceedings of the Databases in Networked Information Systems - 7th International Workshop, 2011