Haixia Long

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

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Bibliography

2026
SOCI-YOLO11n: A deep learning model for identifying invasive freshwater turtles in complex ecological contexts.
Ecol. Informatics, 2026

Temporal knowledge graph recommendation with sequence-aware and path reasoning.
Data Knowl. Eng., 2026

KanGMSA-Net: A novel prostate segmentation framework integrating Kolmogorov-Arnold networks and grouped multi-scale attention.
Biomed. Signal Process. Control., 2026

2025
Graph self-supervised long-tail item augmentation for recommendation.
Neural Comput. Appl., July, 2025

m5c-iEnsem: 5-methylcytosine sites identification through ensemble models.
Bioinform., 2025

Explainable Recommendation Using Global Preference Paths on Knowledge Graph.
Proceedings of the Knowledge Science, Engineering and Management, 2025

2024
Implicit relational attention network for few-shot knowledge graph completion.
Appl. Intell., April, 2024

Advancing single-cell RNA-seq data analysis through the fusion of multi-layer perceptron and graph neural network.
Briefings Bioinform., January, 2024

Residual graph transformer for autism spectrum disorder prediction.
Comput. Methods Programs Biomed., 2024

Research on Similarity Calculation Method of Cloud Model Based on Bidirectional Membership Degree.
Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 2024

2023
Towards identifying influential nodes in complex networks using semi-local centrality metrics.
J. King Saud Univ. Comput. Inf. Sci., December, 2023

PLSNet: Position-aware GCN-based autism spectrum disorder diagnosis via FC learning and ROIs sifting.
Comput. Biol. Medicine, September, 2023

GCN-based Autism Spectrum Disorder Diagnosis via Convolutional Restructuring Attention.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2021
Improving novelty detection by self-supervised learning and channel attention mechanism.
Ind. Robot, 2021

2020
Using random forest algorithm to predict super-secondary structure in proteins.
J. Supercomput., 2020

2019
Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding.
IEEE Access, 2019

Multistability of Fractional-Order Recurrent Neural Networks With Discontinuous and Nonmonotonic Activation Functions.
IEEE Access, 2019

2017
Vehicle classification for large-scale traffic surveillance videos using Convolutional Neural Networks.
Mach. Vis. Appl., 2017

2016
An Efficient Dual Dimensionality Reduction Scheme of Features for Image Classification.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

MPEG-2 Video Copy Detection Method Based on Sparse Representation of Spatial and Temporal Features.
Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016

2015
Incorporating trust relationships in collaborative filtering recommender system.
Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015

2014
Quantum-Behaved Particle Swarm Optimization Based on Diversity-Controlled.
Proceedings of the Digital Services and Information Intelligence, 2014

An Improved Remote Sensing Image Classification Based on K-Means Using HSV Color Feature.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

An Improved Median Filter Algorithm Based on VC in Image Denoising.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

Parallel Diversity-Controlled Quantum-Behaved Particle Swarm Optimization Algorithm.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

Improving Metabolic Flux Estimation of Metabolic Networks by QPSO with Penalty Function.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

2012
Multiple sequence alignment using the Hidden Markov Model trained by an improved quantum-behaved particle swarm optimization.
Inf. Sci., 2012

Prediction β-hairpin motifs in enzyme protein using three methods.
Proceedings of the Eighth International Conference on Natural Computation, 2012

2010
Multiple Sequence Alignment by Improved Hidden Markov Model Training and Quantum-Behaved Particle Swarm Optimization.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

2009
Multiple Sequence Alignment Based on a Binary Particle Swarm Optimization Algorithm.
Proceedings of the Fifth International Conference on Natural Computation, 2009


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