Time Series Prediction Based on Gene Expression Programming. - Jie Zuo; Changjie Tang; Chuan Li 002; Chang-an Yuan 001; An-long Chen (WAIM, 2004)

Mining Correlations Between Multi-streams Based on Haar Wavelet. - An-long Chen; Changjie Tang; Chang-an Yuan 001; Jing Peng; Jianjun Hu (ASIAN, 2005)

Evolutionary Algorithm Based on Overlapped Gene Expression. - Jing Peng; Changjie Tang; Jing Zhang; Chang-an Yuan 001 (ICNC (3), 2005)

A Clustering Algorithm Based Absorbing Nearest Neighbors. - Jianjun Hu; Changjie Tang; Jing Peng; Chuan Li 002; Chang-an Yuan 001; An-long Chen (WAIM, 2005)

SGDE-GEP: A Novel Algorithm of GEP. - Yu-zhong Peng; Chang-an Yuan 001; Yan Wang; Xiao Qin 005 (CSSE (1), 2008)

An efficient algorithm for mining frequent sequences in dynamic environment. - Guangyuan Li; Xiao Qin 005; Qinbin Hu; Changan Yuan 001 (GrC, 2009)

Improving Gene Expression Programming Using Parallel Taboo Search. - Yuan Rao 003; Ruchuan Wang 001; Chang-an Yuan 001 (ICNC (3), 2009)

A Compression Algorithm for Multi-streams Based on GEP. - Chao Ding; Chang-an Yuan 001; Xiao Qin 005; Yu-zhong Peng (WGEC, 2009)

A Novel GEP-Based Multiple-Layers Association Rule Mining Algorithm. - Hong-guo Cai; Chang-an Yuan 001; Jin-Guang Luo; Jin-de Huang (CIS, 2010)

Memory Performance Prediction of Web Server Applications Based on Grey System Theory. - Faliang Huang; Shichao Zhang 001; Changan Yuan 001; Zhi Zhong (APWeb, 2012)

Agent-based Multi-Service Routing for Polar-orbit LEO broadband satellite networks. - Yuan Rao 003; Jun Zhu; Chang-an Yuan 001; Zhao-Hui Jiang; Lei-yang Fu; Xing Shao; Ruchuan Wang 001 (Ad Hoc Networks, 2014)

An improved Gene Expression Programming approach for symbolic regression problems. - Yu-zhong Peng; Chang-an Yuan 001; Xiao Qin 005; Jiangtao Huang; YaBing Shi (Neurocomputing, 2014)

Parameter Estimation Algorithm for Storm Intensity Model with Single Return Period Based on Multicellular Gene Expression Programming. - Yu-zhong Peng; Jie Li; Chang-an Yuan 001; Baoqin Hu (J. Comput., 2014)

Hybrid swarm intelligent parallel algorithm research based on multi-core clusters. - Wenjing Li; Yingzhou Bi; Xiaofeng Zhu 001; Chang-an Yuan 001; Xiang-bo Zhang (Microprocess. Microsystems, 2016)

Local Sensitive Low Rank Matrix Approximation via Nonconvex Optimization. - Chong-Ya Li; Wenzheng Bao; Zhipeng Li 002; Youhua Zhang; Yong-Li Jiang; Chang-An Yuan 001 (ICIC (3), 2017)

Convex local sensitive low rank matrix approximation. - Chong-Ya Li; Lin Zhu 008; Wenzheng Bao; Yong-Li Jiang; Chang-An Yuan 001; De-Shuang Huang (IJCNN, 2017)

Distributed Mining for Content Filtering Function Based on Simulated Annealing and Gene Expression Programming in Active Distribution Network. - Song Deng; Changan Yuan 001; Jiquan Yang; Aihua Zhou (IEEE Access, 2017)

FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis. - Lin Yuan 001; Chang-An Yuan 001; De-Shuang Huang (Complex., 2017)

Pupylation sites prediction with ensemble classification model. - Wenzheng Bao; Zhenhua Huang 005; Chang-An Yuan 001; De-Shuang Huang (Int. J. Data Min. Bioinform., 2017)

基于遗传优化谱聚类的图形分割方法 (Image Segmentation Algorithm of Spectral Clustering Optimized by Genetic). - Xiao Qin 005; Wei Liang; Changan Yuan 001; Tao Tang (计算机科学, 2017)

Leaf Classification Utilizing Densely Connected Convolutional Networks with a Self-gated Activation Function. - Dezhu Li; Hongwei Yang; Chang-an Yuan 001; Xiao Qin 005 (ICIC (3), 2018)

A Hybrid Deep Model for Person Re-Identification. - Di Wu 030; Si-Jia Zheng; Fei Cheng; Yang Zhao 002; Chang-An Yuan 001; Xiao Qin 005; Yong-Li Jiang; De-Shuang Huang (ICIC (3), 2018)

A Simple and Effective Deep Model for Person Re-identification. - Si-Jia Zheng; Di Wu 030; Fei Cheng; Yang Zhao 002; Chang-An Yuan 001; Xiao Qin 005; De-Shuang Huang (ICIC (3), 2018)

Distributed electricity load forecasting model mining based on hybrid gene expression programming and cloud computing. - Song Deng; Changan Yuan 001; Lechan Yang; Liping Zhang (Pattern Recognit. Lett., 2018)

Review on mining data from multiple data sources. - Ruili Wang; Wanting Ji; Mingzhe Liu 001; Xun Wang 007; Jian Weng 001; Song Deng; Suying Gao; Chang-an Yuan 001 (Pattern Recognit. Lett., 2018)

Mutli-Features Prediction of Protein Translational Modification Sites. - Wenzheng Bao; Chang-An Yuan 001; Youhua Zhang; Kyungsook Han; Asoke K. Nandi; Barry Honig; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Plant Leaf Recognition Based on Conditional Generative Adversarial Nets. - Zhihao Jiao; Lijun Zhang; Chang-an Yuan 001; Xiao Qin 005; Li Shang (ICIC (1), 2019)

Flower Species Recognition System Combining Object Detection and Attention Mechanism. - Wei Qin; Xue Cui; Chang-An Yuan 001; Xiao Qin 005; Li Shang; Zhi-Kai Huang; Si-Zhe Wan (ICIC (3), 2019)

Motif Discovery via Convolutional Networks with K-mer Embedding. - Dailun Wang; Qinhu Zhang; Chang-An Yuan 001; Xiao Qin 005; Zhi-Kai Huang; Li Shang (ICIC (2), 2019)

Hierarchical Attention Network for Predicting DNA-Protein Binding Sites. - Wenbo Yu; Chang-An Yuan 001; Xiao Qin 005; Zhi-Kai Huang; Li Shang (ICIC (2), 2019)

Leaf Recognition Based on Capsule Network. - Yang Zheng; Chang-an Yuan 001; Li Shang; Zhi-Kai Huang (ICIC (1), 2019)

Omnidirectional Feature Learning for Person Re-Identification. - Di Wu 030; Hong-Wei Yang; De-Shuang Huang; Chang-An Yuan 001; Xiao Qin 005; Yang Zhao 002; Xin-Yong Zhao; Jian-Hong Sun (IEEE Access, 2019)

A Novel Function Mining Algorithm Based on Attribute Reduction and Improved Gene Expression Programming. - Changan Yuan 001; Xiao Qin 005; Lechan Yang; Guangwei Gao; Song Deng (IEEE Access, 2019)

An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques. - Changan Yuan 001; Yong Wu; Xiao Qin 005; Shaojie Qiao; Yonghua Pan; Ping Huang; Dunhu Liu; Nan Han (Appl. Intell., 2019)

A deep model with combined losses for person re-identification. - Di Wu 030; Si-Jia Zheng; Chang-An Yuan 001; De-Shuang Huang (Cogn. Syst. Res., 2019)

Data recovery algorithm under intrusion attack for energy internet. - Song Deng; Changan Yuan 001; Lechan Yang; Xiao Qin 005; Aihua Zhou (Future Gener. Comput. Syst., 2019)

A novel deep model with multi-loss and efficient training for person re-identification. - Di Wu 030; Si-Jia Zheng; Wenzheng Bao; Xiao-Ping (Steven) Zhang; Chang-An Yuan 001; De-Shuang Huang (Neurocomputing, 2019)

Deep learning-based methods for person re-identification: A comprehensive review. - Di Wu 030; Si-Jia Zheng; Xiao-Ping (Steven) Zhang; Chang-An Yuan 001; Fei Cheng; Yang Zhao 002; Yong-Jun Lin; Zhong-Qiu Zhao; Yong-Li Jiang; De-Shuang Huang (Neurocomputing, 2019)

Learnt dictionary based active learning method for environmental sound event tagging. - Xiao Qin 005; Wanting Ji; Ruili Wang; Changan Yuan 001 (Multim. Tools Appl., 2019)

A nonconvex penalty function with integral convolution approximation for compressed sensing. - Jianjun Wang 003; Feng Zhang 023; Jianwen Huang; Wendong Wang 001; Changan Yuan 001 (Signal Process., 2019)

Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer. - Lin Yuan 001; Lehang Guo; Chang-an Yuan 001; Youhua Zhang; Kyungsook Han; Asoke K. Nandi; Barry Honig; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification. - Ying He; Zhen Shen; Qinhu Zhang; Siguo Wang; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao (ICIC (2), 2020)

License Plate Detection and Recognition Technology for Complex Real Scenarios. - Zhipeng Li 002; Fei Wang; Hamdan Taleb; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao; Lijun Zhang (ICIC (1), 2020)

A Classification Algorithm for Real Collar Images. - Xiao Qin 005; Chengcheng Huang; Junhua Wu; Changan Yuan 001 (ICIC (1), 2020)

A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites. - Siguo Wang; Zhen Shen; Ying He; Qinhu Zhang; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao (ICIC (2), 2020)

Position Attention-Guided Learning for Infrared-Visible Person Re-identification. - Yong Wu; Si-Zhe Wan; Di Wu 030; Chao Wang 071; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao (ICIC (1), 2020)

Plant Leaf Recognition Network Based on Feature Learning and Metric Learning. - Hongwei Yang; Di Wu 030; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao; Zhongqiu Zhao (ICIC (1), 2020)

Random Occlusion Recovery with Noise Channel for Person Re-identification. - Kun Zhang; Di Wu 030; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao; Lijun Zhang; Yuchuan Du; Hanli Wang (ICIC (1), 2020)

Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network. - Yindong Zhang; Qinhu Zhang; Changan Yuan 001; Xiao Qin 005; Hongjie Wu; Xingming Zhao (ICIC (2), 2020)

Exploiting Long-Term Dependency for Topic Sentiment Analysis. - Faliang Huang; Changan Yuan 001; Yingzhou Bi; Jianbo Lu (IEEE Access, 2020)

SOTB: Semi-Supervised Oversampling Approach Based on Trigonal Barycenter Theory. - Dingxiang Liu; Shaojie Qiao; Nan Han; Tao Wu 003; Rui Mao 001; Yongqing Zhang; Changan Yuan 001; Yueqiang Xiao (IEEE Access, 2020)

Arbitrary Shape Natural Scene Text Detection Method Based on Soft Attention Mechanism and Dilated Convolution. - Xiao Qin 005; Jianhui Jiang; Chang-An Yuan 001; Shaojie Qiao; Wei Fan (IEEE Access, 2020)

Numerical sensitive data recognition based on hybrid gene expression programming for active distribution networks. - Song Deng; Xiangpeng Xie 001; Chang-An Yuan 001; Lechan Yang; Xindong Wu 001 (Appl. Soft Comput., 2020)

Friendship prediction model based on factor graphs integrating geographical location. - Liang Chen; Shaojie Qiao; Nan Han; Chang-an Yuan 001; Xuejiang Song; Ping Huang; Yueqiang Xiao (CAAI Trans. Intell. Technol., 2020)

Data filter function incremental mining based on feature selection in an active distribution network. - Song Deng; Qingyuan Cai; Zi Zhang; Lechan Yang; Tinglei Huang 001; Changan Yuan 001 (IET Cyper-Phys. Syst.: Theory & Appl., 2020)

A novel handover detection model via frequent trajectory patterns mining. - Nan Han; Shaojie Qiao; Guan Yuan; Rui Mao 001; Kun Yue; Changan Yuan 001 (Int. J. Mach. Learn. Cybern., 2020)

Plant Leaf Recognition Network Based on Fine-Grained Visual Classification. - Wenhui Liu; Changan Yuan 001; Xiao Qin 005; Hongjie Wu (ICIC (1), 2021)

Attention-Based Deep Multi-scale Network for Plant Leaf Recognition. - Xiao Qin 005; Yu Shi; Xiao Huang; Huiting Li; Jiangtao Huang; Changan Yuan 001; Chunxia Liu (ICIC (1), 2021)

Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification. - Si-Zhe Wan; Changan Yuan 001; Xiao Qin 005; Hongjie Wu (ICIC (1), 2021)

Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic Data. - Youhong Xu; Qinghu Zhang; Zhanheng Chen; Chang-an Yuan 001; Xiao Qin 005; Hongjie Wu (ICIC (3), 2021)

Survey on vehicle map matching techniques. - Zhenfeng Huang; Shaojie Qiao; Nan Han; Chang-an Yuan 001; Xuejiang Song; Yueqiang Xiao (CAAI Trans. Intell. Technol., 2021)

Adaptive reverse graph learning for robust subspace learning. - Chang-An Yuan 001; Zhi Zhong; Cong Lei; Xiaofeng Zhu 001; Rongyao Hu (Inf. Process. Manag., 2021)

Cardinality Estimator: Processing SQL with a Vertical Scanning Convolutional Neural Network. - Shaojie Qiao; Guo-Ping Yang; Nan Han; Hao Chen; Faliang Huang; Kun Yue; Yugen Yi; Changan Yuan 001 (J. Comput. Sci. Technol., 2021)

Algorithm for detecting anomalous hosts based on group activity evolution. - Xiaoming Ye; Shaojie Qiao; Nan Han; Kun Yue; Tao Wu 003; Li Yang; Faliang Huang; Chang-an Yuan 001 (Knowl. Based Syst., 2021)

Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask. - Yong Wu; Kun Zhang; Di Wu 030; Chao Wang 071; Chang-an Yuan 001; Xiao Qin 005; Tao Zhu; Yuchuan Du; Hanli Wang; De-Shuang Huang (IEEE Trans. Cogn. Dev. Syst., 2021)

Development of AUV Two-Loop Sliding Control System with Considering of Thruster Dynamic. - Vladimir F. Filaretov; Dmitry A. Yukhimets; Changan Yuan 001 (ICIC (3), 2022)

Geometric Parameters Calibration Method for Multilink Manipulators. - Anton S. Gubankov; Dmitry Yukhimets; Vladimir F. Filaretov; Chang-an Yuan 001 (ICIC (3), 2022)

Drug-Target Interaction Prediction Based on Graph Neural Network and Recommendation System. - Peng Lei; Chang-an Yuan 001; Hongjie Wu; Xingming Zhao (ICIC (2), 2022)

Local Feature for Visible-Thermal PReID Based on Transformer. - Quanyi Pu; Changan Yuan 001; Hongjie Wu; Xingming Zhao (ICIC (1), 2022)

An Effective Method for Yemeni License Plate Recognition Based on Deep Neural Networks. - Hamdan Taleb; Zhipeng Li 002; Chang-an Yuan 001; Hongjie Wu; Xingming Zhao; Fahd A. Ghanem (ICIC (3), 2022)

Comprehensive Evaluation of BERT Model for DNA-Language for Prediction of DNA Sequence Binding Specificities in Fine-Tuning Phase. - Xianbao Tan; Chang-an Yuan 001; Hongjie Wu; Xingming Zhao (ICIC (2), 2022)

Using Deep Learning to Predict Transcription Factor Binding Sites Based on Multiple-omics Data. - Youhong Xu; Changan Yuan 001; Hongjie Wu; Xingming Zhao (ICIC (1), 2022)

Robust Virtual Sensors Design for Linear Systems. - Alexey N. Zhirabok; Alexander V. Zuev; Vladimir F. Filaretov; Changan Yuan 001; Alexander Protcenko; Kim Chung Il (ICIC (3), 2022)

Multi-granular document-level sentiment topic analysis for online reviews. - Faliang Huang; Chang-an Yuan 001; Yingzhou Bi; Jianbo Lu; Liqiong Lu; Xing Wang 005 (Appl. Intell., 2022)

LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning. - Shaojie Qiao; Nan Han; Faliang Huang; Kun Yue; Tao Wu 003; Yugen Yi; Rui Mao 001; Chang-an Yuan 001 (Appl. Intell., 2022)

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis. - Yonghua Zhu; Junbo Ma; Changan Yuan 001; Xiaofeng Zhu 001 (Inf. Fusion, 2022)

Robust graph learning with graph convolutional network. - Yingying Wan; Changan Yuan 001; Mengmeng Zhan; Long Chen (Inf. Process. Manag., 2022)

Algorithms for Trajectory Points Clustering in Location-based Social Networks. - Nan Han; Shaojie Qiao; Kun Yue; Jianbin Huang; Qiang He 001; Tingting Tang; Faliang Huang; Chunlin He; Chang-an Yuan 001 (ACM Trans. Intell. Syst. Technol., 2022)

Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis. - Faliang Huang; Xuelong Li 001; Changan Yuan 001; Shichao Zhang 001; Jilian Zhang; Shaojie Qiao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Robust self-tuning multi-view clustering. - Chang-an Yuan 001; Yonghua Zhu; Zhi Zhong; Wei Zheng; Xiaofeng Zhu 001 (World Wide Web, 2022)

Self-Guided Local Prototype Network for Few-Shot Medical Image Segmentation. - Pengrui Teng; Yuhu Cheng; Xuesong Wang 001; Yi-Jie Pan; Changan Yuan 001 (ICAI (1), 2023)

Method of Visual Formation Control for Large Group of AUV in Environment with Obstacles. - Vladimir F. Filaretov; Dmitry Yukhimets; Vitaly Oseledets; Changan Yuan 001 (ICAI (2), 2023)

A Broader Study of Spectral Missing in Multi-spectral Vehicle Re-identification. - Tianying Yan; Changhai Wang; Changan Yuan 001; De-Shuang Huang (ICAI (2), 2023)

Interval Observers Design for Discrete-Time Linear Systems with Uncertainties. - Alexey N. Zhirabok; Alexander V. Zuev; Vladimir F. Filaretov; Changan Yuan 001 (ICAI (2), 2023)

Visual Servo Control System for AUV Stabilization. - Aleksandr V. Zuev; L. S. Shchetkov; Eduard Sh. Mursalimov; Vladimir F. Filaretov; Changan Yuan 001 (ICAI (2), 2023)

Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification. - Yong Wu; Guo-Dui He; Li-Hua Wen; Xiao Qin 005; Chang-an Yuan 001; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. - Zheng-Wei Li 001; Qiankun Wang; Chang-An Yuan 001; Pengyong Han; Zhu-Hong You; Lei Wang 121 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information. - Qinhu Zhang; Youhong Xu; Siguo Wang; Yong Wu; Yuan-Nong Ye; Chang-An Yuan 001; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Computational prediction and characterization of cell-type-specific and shared binding sites. - Qinhu Zhang; Pengrui Teng; Siguo Wang; Ying He; Zhen Cui; Zhenghao Guo; Yixin Liu; Changan Yuan 001; Qi Liu 019; De-Shuang Huang (Bioinform., 2023)

Contrastive structure and texture fusion for image inpainting. - Long Chen; Chang-An Yuan 001; Xiao Qin 005; Wei Sun; Xiaofeng Zhu 001 (Neurocomputing, 2023)

A path planning algorithm for mobile robot based on water flow potential field method and beetle antennae search algorithm. - Zhiheng Yu; Jian Yuan; Yongsheng Li; Chang-an Yuan 001; Song Deng (Comput. Electr. Eng., 2023)

GKLOMLI: a link prediction model for inferring miRNA-lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm. - Leon Wong; Lei Wang 121; Zhu-Hong You; Chang-An Yuan 001; Yu-An Huang; Mei-Yuan Cao (BMC Bioinform., 2023)

SUnet: A multi-organ segmentation network based on multiple attention. - Xiaosen Li; Xiao Qin 005; Chengliang Huang; Yuer Lu; Jinyan Cheng; Liansheng Wang; Ou Liu; Jianwei Shuai; Chang-an Yuan 001 (Comput. Biol. Medicine, 2023)

Multiplex Graph Representation Learning Via Dual Correlation Reduction. - Yujie Mo; Yuhuan Chen; Yajie Lei; Liang Peng; Xiaoshuang Shi; Changan Yuan 001; Xiaofeng Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge Selection Based Motif for Dynamic Community Detection. - Huixin Ma; Tianying Yan; Changhai Wang; Changan Yuan 001; De-Shuang Huang (ICAI (2), 2024)

Generalizable Multi-spectral Vehicle Re-identification via Decoupled Subspaces. - Tianying Yan; Huixin Ma; Changhai Wang; Changan Yuan 001; De-Shuang Huang (ICAI (2), 2024)

A diffusion model multi-scale feature fusion network for imbalanced medical image classification research. - Zipiao Zhu; Yang Liu 182; Chang-An Yuan 001; Xiao Qin 005; Feng Yang 014 (Comput. Methods Programs Biomed., 2024)

Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation. - Pengrui Teng; Wenjian Liu; Xuesong Wang 001; Di Wu 030; Chang-an Yuan 001; Yuhu Cheng; De-Shuang Huang (Neurocomputing, 2024)

Deep semi-supervised clustering based on pairwise constraints and sample similarity. - Xiao Qin 005; Changan Yuan 001; Jianhui Jiang; Long Chen (Pattern Recognit. Lett., 2024)

Hierarchical Multiview Top-k Pooling With Deep-Q-Networks. - Zhi-Peng Li 002; Hai-Long Su; Yong Wu; Qinhu Zhang; Chang-an Yuan 001; Valeriya V. Gribova; Vladimir Fedorovich Filaretov; De-Shuang Huang (IEEE Trans. Artif. Intell., 2024)

Variational Graph Neural Network Based on Normalizing Flows. - Hailong Su; Zhipeng Li 002; Chang-an Yuan 001; Vladimir F. Filaretov; Deshuang Huang (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Variational graph neural network with diffusion prior for link prediction. - Hailong Su; Zhipeng Li 002; Chang-An Yuan 001; Vladimir F. Filaretov; De-Shuang Huang (Appl. Intell., 2025)

Graph pooling for graph-level representation learning: a survey. - Zhi-Peng Li 002; Siguo Wang; Qinhu Zhang; Yi-Jie Pan; Naian Xiao; Jiayang Guo; Chang-An Yuan 001; Wen-Jian Liu; De-Shuang Huang (Artif. Intell. Rev., 2025)

MSDUNet: A Model Based on Feature Multi-Scale and Dual-Input Dynamic Enhancement for Skin Lesion Segmentation. - Xiaosen Li; Linli Li; Xinlong Xing; Huixian Liao; Wenji Wang; Qiutong Dong; Xiao Qin 005; Chang-an Yuan 001 (IEEE Trans. Medical Imaging, 2025)