Haixia Long

According to our database, Haixia Long authored at least 41 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improved Intrusion Detection Based on Hybrid Deep Learning Models and Federated Learning.

Jia Huang, Zhen Chen, Sheng-Zheng Liu, Hao Zhang, Haixia Long

Sensors, June, 2024

Ethereum Phishing Scam Detection Based on Data Augmentation Method and Hybrid Graph Neural Network Model.

Zhen Chen, Sheng-Zheng Liu, Jia Huang, Yu-Han Xiu, Hao Zhang, Haixia Long

Sensors, June, 2024

Task-related network based on meta-learning for few-shot knowledge graph completion.

Xuhua Yang, Dong Wei, Lian Zhang, Gang-Feng Ma, Xin-Li Xu, Haixia Long

Appl. Intell., April, 2024

Iterative learning for maxillary sinus segmentation based on bounding box annotations.

Xinli Xu, Kaidong Wang, Chengze Wang, Ruihao Chen, Fudong Zhu, Haixia Long, Qiu Guan

Multim. Tools Appl., March, 2024

Design and implementation of marine information management network security system based on artificial intelligence embedded technology.

Kun Zhang, Yu Zhou, Haixia Long, Shulei Wu, Chaoyang Wang, Haizhuang Hong, Xixi Fu, Haifeng Wang

J. Intell. Fuzzy Syst., February, 2024

Robust Preference-Guided Based Disentangled Graph Social Recommendation.

Gang-Feng Ma, Xu-Hua Yang, Yanbo Zhou, Haixia Long, Wei Huang, Weihua Gong, Sheng Liu

IEEE Trans. Netw. Sci. Eng., 2024

Biological mechanism of sex differences in mental rotation: Evidence from multimodal MRI, transcriptomic and receptor/transporter data.

Haixia Long, Hao Wu, Chaoliang Sun, Xinli Xu, Xuhua Yang, Jie Xiao, Mingqi Lv, Qiuju Chen, Ming Fan

NeuroImage, 2024

Elucidating genetic and molecular basis of altered higher-order brain structure-function coupling in major depressive disorder.

Haixia Long, Zihao Chen, Xinli Xu, Qianwei Zhou, Zhaolin Fang, Mingqi Lv, Xu-Hua Yang, Jie Xiao, Hui Sun, Ming Fan

NeuroImage, 2024

Robust social recommendation based on contrastive learning and dual-stage graph neural network.

Gang-Feng Ma, Xuhua Yang, Haixia Long, Yanbo Zhou, Xin-Li Xu

Neurocomputing, 2024

DeepSVDNet: A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images.

Anas Bilal, Azhar Imran, Talha Imtiaz Baig, Xiaowen Liu, Haixia Long, Abdulkareem Alzahrani, Muhammad Shafiq

Comput. Syst. Sci. Eng., 2024

DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation.

Yitong Yang, Xinli Xu, Haigen Hu, Haixia Long, Qianwei Zhou, Qiu Guan

CoRR, 2024

Residual graph transformer for autism spectrum disorder prediction.

Yibin Wang, Haixia Long, Tao Bo, Jianwei Zheng

Comput. Methods Programs Biomed., 2024

NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data.

Anas Bilal, Xiaowen Liu, Muhammad Shafiq, Zohaib Ahmed, Haixia Long

Comput. Biol. Medicine, 2024

BC-QNet: A quantum-infused ELM model for breast cancer diagnosis.

Anas Bilal, Azhar Imran, Xiaowen Liu, Xiling Liu, Zohaib Ahmad, Muhammad Shafiq, Ahmed M. El-Sherbeeny, Haixia Long

Comput. Biol. Medicine, 2024

PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease Using Dental Radiographs.

Anas Bilal, Ali Haider Khan, Khalid Almohammadi, Sami A. Al Ghamdi, Haixia Long, Hassaan Malik

IEEE Access, 2024

Multi-branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for Accurate Object Detection.

Zhiqiang Yang, Qiu Guan, Keer Zhao, Jianmin Yang, Xinli Xu, Haixia Long, Ying Tang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Two-Stage Multi-scale Feature Fusion for Small Medical Object Segmentation.

Tianhao Wang, Xinli Xu, Cheng Zheng, Haixia Long, Haigen Hu, Qiu Guan, Jianmin Yang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Research on Similarity Calculation Method of Cloud Model Based on Bidirectional Membership Degree.

Xuepin Guo, Xinyu Cui, Haixia Long, Shulei Wu

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.

Kun Zhang, Yu Zhou, Haixia Long, Chaoyang Wang, Haizhuang Hong, Seyed Mostafa Armaghan

J. King Saud Univ. Comput. Inf. Sci., December, 2023

Estimating Redundancy-Reliability of CNNs Based on Strip-Median Attributes.

Jie Xiao, Yujian Yang, Haixia Long, Rongzhen Qin, Jungang Lou

IEEE Trans. Very Large Scale Integr. Syst., October, 2023

Knowledge graph embedding and completion based on entity community and local importance.

Xuhua Yang, Gang-Feng Ma, Xin Jin, Haixia Long, Jie Xiao, Lei Ye

Appl. Intell., October, 2023

A Pruning and Feedback Strategy for Locating Reliability-Critical Gates in Combinational Circuits.

Jie Xiao, Weidong Zhu, Qing Shen, Haixia Long, Jungang Lou

IEEE Trans. Reliab., September, 2023

PLSNet: Position-aware GCN-based autism spectrum disorder diagnosis via FC learning and ROIs sifting.

Yibin Wang, Haixia Long, Qianwei Zhou, Tao Bo, Jianwei Zheng

Comput. Biol. Medicine, September, 2023

GCN-based Autism Spectrum Disorder Diagnosis via Convolutional Restructuring Attention.

Yibin Wang, Haixia Long, Qianwei Zhou, Yuchao Feng, Jianwei Zheng

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3.

Anas Bilal, Muhammad Shafiq, Fang Fang, Muhammad Waqar, Inam Ullah, Yazeed Yasin Ghadi, Haixia Long, Rao Zeng

Sensors, 2022

2021

Improving novelty detection by self-supervised learning and channel attention mechanism.

Miao Tian, Ying Cui, Haixia Long, Junxia Li

Ind. Robot, 2021

Deep Learning and Regularization Algorithms for Malicious Code Classification.

Haojun Wang, Haixia Long, Ailan Wang, Tianyue Liu, Haiyan Fu

IEEE Access, 2021

2020

Using random forest algorithm to predict super-secondary structure in proteins.

Xiuzhen Hu, Haixia Long, Chang-jiang Ding, Su-juan Gao, Rui Hou

J. Supercomput., 2020

2019

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

Manzhi Li, Hongtao Wang, Haixia Long, Ju Xiang, Bo Wang, Junlin Xu, Jialiang Yang

IEEE Access, 2019

Multistability of Fractional-Order Recurrent Neural Networks With Discontinuous and Nonmonotonic Activation Functions.

Yujiao Huang, Xiaoyan Yuan, Haixia Long, Xinggang Fan, Tiaoyang Cai

IEEE Access, 2019

2017

A more precise multi-modal image registration using self-similarities.

Qiu Guan, Qinqin Jin, Haixia Long, Kangjie Li, Haigen Hu, Xiaoyan Wang

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2015

Incorporating trust relationships in collaborative filtering recommender system.

Xiao Shen, Haixia Long, Cuihua Ma

Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015

2014

Quantum-Behaved Particle Swarm Optimization Based on Diversity-Controlled.

Haixia Long, Haiyan Fu, Chun Shi

Proceedings of the Digital Services and Information Intelligence, 2014

An Improved Remote Sensing Image Classification Based on K-Means Using HSV Color Feature.

Shulei Wu, Huandong Chen, Zhizhong Zhao, Haixia Long, Chunhui Song

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

An Improved Median Filter Algorithm Based on VC in Image Denoising.

Shulei Wu, Huandong Chen, Xiangxiang Xu, Haixia Long, Wenjuan Jiang, Dong Xu

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

Parallel Diversity-Controlled Quantum-Behaved Particle Swarm Optimization Algorithm.

Haixia Long, Shulei Wu, Haiyan Fu

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

Improving Metabolic Flux Estimation of Metabolic Networks by QPSO with Penalty Function.

Haixia Long, Shulei Wu, Haiyan Fu

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.

Jun Sun, Xiaojun Wu, Wei Fang, Yanrui Ding, Haixia Long, Wenbo Xu

Inf. Sci., 2012

Prediction β-hairpin motifs in enzyme protein using three methods.

Haixia Long, Xiuzhen Hu

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.

Chengyuan Li, Haixia Long, Yanrui Ding, Jun Sun, Wenbo Xu

Proceedings of the Life System Modeling and Intelligent Computing, 2010

2009

Multiple Sequence Alignment Based on a Binary Particle Swarm Optimization Algorithm.

Haixia Long, Wenbo Xu, Jun Sun, Wen-Juan Ji

Proceedings of the Fifth International Conference on Natural Computation, 2009