Multiple Sequence Alignment Based on a Binary Particle Swarm Optimization Algorithm. - Haixia Long; Wenbo Xu 001; Jun Sun 008; Wen-Juan Ji (ICNC (3), 2009)

Multiple Sequence Alignment by Improved Hidden Markov Model Training and Quantum-Behaved Particle Swarm Optimization. - Chengyuan Li; Haixia Long; Yanrui Ding; Jun Sun 008; Wenbo Xu 001 (LSMS/ICSEE, 2010)

Prediction β-hairpin motifs in enzyme protein using three methods. - Haixia Long; Xiuzhen Hu (ICNC, 2012)

Multiple sequence alignment using the Hidden Markov Model trained by an improved quantum-behaved particle swarm optimization. - Jun Sun 008; Xiaojun Wu 001; Wei Fang 001; Yanrui Ding; Haixia Long; Wenbo Xu 001 (Inf. Sci., 2012)

Improving Metabolic Flux Estimation of Metabolic Networks by QPSO with Penalty Function. - Haixia Long; Shulei Wu; Haiyan Fu (CIS, 2014)

Parallel Diversity-Controlled Quantum-Behaved Particle Swarm Optimization Algorithm. - Haixia Long; Shulei Wu; Haiyan Fu (CIS, 2014)

An Improved Median Filter Algorithm Based on VC in Image Denoising. - Shulei Wu; Huandong Chen; Xiangxiang Xu; Haixia Long; Wenjuan Jiang; Dong Xu (CIS, 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 (CIS, 2014)

Quantum-Behaved Particle Swarm Optimization Based on Diversity-Controlled. - Haixia Long; Haiyan Fu; Chun Shi (I3E, 2014)

Incorporating trust relationships in collaborative filtering recommender system. - Xiao Shen 001; Haixia Long; Cuihua Ma (SNPD, 2015)

A more precise multi-modal image registration using self-similarities. - Qiu Guan; Qinqin Jin; Haixia Long; Kangjie Li; Haigen Hu; Xiaoyan Wang 007 (CISP-BMEI, 2017)

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)

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)

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)

Deep Learning and Regularization Algorithms for Malicious Code Classification. - Haojun Wang; Haixia Long; Ailan Wang; Tianyue Liu; Haiyan Fu (IEEE Access, 2021)

Improving novelty detection by self-supervised learning and channel attention mechanism. - Miao Tian; Ying Cui; Haixia Long; Junxia Li (Ind. Robot, 2021)

IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3. - Anas Bilal; Muhammad Shafiq 006; Fang Fang; Muhammad Waqar; Inam Ullah 001; Yazeed Yasin Ghadi; Haixia Long; Rao Zeng (Sensors, 2022)

GCN-based Autism Spectrum Disorder Diagnosis via Convolutional Restructuring Attention. - Yibin Wang; Haixia Long; Qianwei Zhou; Yuchao Feng; Jianwei Zheng 001 (CogSci, 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 001 (Comput. Biol. Medicine, 2023)

A Pruning and Feedback Strategy for Locating Reliability-Critical Gates in Combinational Circuits. - Jie Xiao 003; Weidong Zhu; Qing Shen; Haixia Long; Jungang Lou (IEEE Trans. Reliab., 2023)

Knowledge graph embedding and completion based on entity community and local importance. - Xuhua Yang 001; Gang-Feng Ma; Xin Jin; Haixia Long; Jie Xiao 003; Lei Ye 011 (Appl. Intell., 2023)

Estimating Redundancy-Reliability of CNNs Based on Strip-Median Attributes. - Jie Xiao 003; Yujian Yang; Haixia Long; Rongzhen Qin; Jungang Lou (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Towards identifying influential nodes in complex networks using semi-local centrality metrics. - Kun Zhang 011; Yu Zhou 006; Haixia Long; Chaoyang Wang; Haizhuang Hong; Seyed Mostafa Armaghan (J. King Saud Univ. Comput. Inf. Sci., 2023)

Research on Similarity Calculation Method of Cloud Model Based on Bidirectional Membership Degree. - Xuepin Guo; Xinyu Cui; Haixia Long; Shulei Wu (IoTML, 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 (PRCV (14), 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 (PRCV (12), 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)

BC-QNet: A quantum-infused ELM model for breast cancer diagnosis. - Anas Bilal; Azhar Imran; Xiaowen Liu; Xiling Liu; Zohaib Ahmad; Muhammad Shafiq 006; Ahmed M. El-Sherbeeny; Haixia Long (Comput. Biol. Medicine, 2024)

NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data. - Anas Bilal; Xiaowen Liu; Muhammad Shafiq 006; Zohaib Ahmed; Haixia Long (Comput. Biol. Medicine, 2024)

Residual graph transformer for autism spectrum disorder prediction. - Yibin Wang; Haixia Long; Tao Bo; Jianwei Zheng 001 (Comput. Methods Programs Biomed., 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)

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 006 (Comput. Syst. Sci. Eng., 2024)

Robust social recommendation based on contrastive learning and dual-stage graph neural network. - Gang-Feng Ma; Xuhua Yang 001; Haixia Long; Yanbo Zhou; Xin-Li Xu (Neurocomputing, 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 001; Jie Xiao 003; Hui Sun; Ming Fan 003 (NeuroImage, 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 001; Jie Xiao 003; Mingqi Lv; Qiuju Chen; Ming Fan 003 (NeuroImage, 2024)

Robust Preference-Guided Based Disentangled Graph Social Recommendation. - Gang-Feng Ma; Xu-Hua Yang 001; Yanbo Zhou; Haixia Long; Wei Huang 015; Weihua Gong; Sheng Liu 002 (IEEE Trans. Netw. Sci. Eng., 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., 2024)

Task-related network based on meta-learning for few-shot knowledge graph completion. - Xuhua Yang 001; Dong Wei; Lian Zhang; Gang-Feng Ma; Xin-Li Xu; Haixia Long (Appl. Intell., 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, 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, 2024)

Pancreatic Cystic Neoplasms Lesion Detection for Non-contrast CT Image via Teacher-student Model. - Mengjie Pan; Qiu Guan; Zhiqiang Yang; Zhongwen Yu; Haixia Long; Xinli Xu; Ruihui Wang; Zhehao An; Feng Chen 038 (ICASSP, 2025)

A blockchain and A-DCNN integrated framework for privacy protection and intrusion detection of industrial IoT. - Zhen Chen; Jia Huang; Shengzheng Liu; Haixia Long (Computing, 2025)

MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection. - Zhiqiang Yang; Qiu Guan; Zhongwen Yu; Xinli Xu; Haixia Long; Sheng Lian; Haigen Hu; Ying Tang (CoRR, 2025)

Similar or Related: Spectral-Based Item Relationship Mining With Graph Convolutional Network for Complementary Recommendation. - Gang-Feng Ma; Xuhua Yang 001; Haixia Long; Yujiao Huang (IEEE Trans. Artif. Intell., 2025)

Quantum computational infusion in extreme learning machines for early multi-cancer detection. - Anas Bilal; Muhammad Shafiq 006; Waeal J. Obidallah; Yousef A. Alduraywish; Haixia Long (J. Big Data, 2025)