Xiucai Ye

Orcid: 0000-0002-5547-3919

According to our database1, Xiucai Ye authored at least 76 papers between 2011 and 2024.

Collaborative distances:

Timeline

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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

Attribute and closeness based scheduling model for vehicle-to-grid network.
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

Stitch-Able Split Learning Assisted Multi-UAV Systems.
IEEE Open J. Comput. Soc., 2024

An interpretable deep learning model predicts RNA-small molecule binding sites.
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

HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design.
CoRR, 2024

Multi-party collaborative drug discovery via federated learning.
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

Deciphering the Complex Characterization of Coding LncRNA.
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

Deep generative model for drug design from protein target sequence.
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

Multi-omics clustering for cancer subtyping based on latent subspace learning.
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

Pick-up point recommendation strategy based on user incentive mechanism.
PeerJ Comput. Sci., 2023

Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing.
PeerJ Comput. Sci., 2023

LSEC: Large-scale spectral ensemble clustering.
Intell. Data Anal., 2023

Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data.
Frontiers Comput. Sci., 2023

Common and Unique Features Learning in Multi-view Network Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2023

Quantum Algorithm for Regularized Spectral Clustering.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

Multi-view Network Embedding with Structure and Semantic Contrastive Learning.
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

Divide-and-conquer based large-scale spectral clustering.
Neurocomputing, 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

Knowledge distillation-based privacy-preserving data analysis.
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

Multi-View Federated Learning with Data Collaboration.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

2021
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density.
CoRR, 2021

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism.
Briefings Bioinform., 2021

Application of learning to rank in bioinformatics tasks.
Briefings Bioinform., 2021

Spectral Clustering Joint Deep Embedding Learning by Autoencoder.
Proceedings of the International Joint Conference on Neural Networks, 2021

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
An oversampling framework for imbalanced classification based on Laplacian eigenmaps.
Neurocomputing, 2020

Multiclass spectral feature scaling method for dimensionality reduction.
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

Hubness-based Sampling Method for Nyström Spectral Clustering.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Ensemble Learning for Spectral Clustering.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Cost-Optimized Video Dissemination Over Heterogeneous Cloud With SLAs Support.
IEEE Access, 2019

Distributed Collaborative Feature Selection Based on Intermediate Representation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction.
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

Spectral clustering with adaptive similarity measure in Kernel space.
Intell. Data Anal., 2018

Large Scale Spectral Clustering Using Sparse Representation Based on Hubness.
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

Similarity Measure Based on Adaptive Neighbors for Spectral Clustering.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis.
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

Spectral clustering and discriminant analysis for unsupervised feature selection.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
A novel sleep scheduling scheme in green wireless sensor networks.
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
Group Data Collection in wireless sensor networks with a mobile base station.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

2012
A Novel Data Collection Scheme for WSNs.
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
A Novel Network Coding Scheme for Data Collection in WSNs with a Mobile BS.
Proceedings of the Databases in Networked Information Systems - 7th International Workshop, 2011


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