Research on Open Domain Question Answering System. - Zhonglin Ye; Zheng Jia; Yan Yang 001; Junfu Huang; Hongfeng Yin (NLPCC, 2015)

多领域自然语言问句理解研究 (Research on Multi-domain Natural Language Question Understanding). - Zhonglin Ye; Zhen Jia; Hongfeng Yin (计算机科学, 2017)

Text-Associated Max-Margin DeepWalk. - Zhonglin Ye; Haixing Zhao; Ke Zhang; Yu Zhu; Yuzhi Xiao (Big Data (CCF), 2018)

Network Representation Learning Based on Community and Text Features. - Yu Zhu; Zhonglin Ye; Haixing Zhao; Ke Zhang (CCL, 2018)

Syntactic word embedding based on dependency syntax and polysemous analysis. - Zhonglin Ye; Haixing Zhao (Frontiers Inf. Technol. Electron. Eng., 2018)

Link Prediction Based on Gravitational Field of Complex Network. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (DASC/PiCom/DataCom/CyberSciTech, 2019)

Improved DeepWalk Algorithm Based on Preference Random Walk. - Zhonglin Ye; Haixing Zhao; Ke Zhang; Yu Zhu; Yuzhi Xiao; Zhaoyang Wang (NLPCC (1), 2019)

Multi-View Network Representation Learning Algorithm Research. - Zhonglin Ye; Haixing Zhao; Ke Zhang; Yu Zhu (Algorithms, 2019)

Network representation based on the joint learning of three feature views. - Zhonglin Ye; Haixing Zhao; Ke Zhang; Zhaoyang Wang; Yu Zhu (Big Data Min. Anal., 2019)

基于多视图集成的网络表示学习算法 (Network Representation Learning Based on Multi-view Ensemble Algorithm). - Zhonglin Ye; Haixing Zhao; Ke Zhang; Yu Zhu (计算机科学, 2019)

Hypernetwork Model Based on Logistic Regression. - Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yanlin Yang; Fuxiang Ma (Big Data (CCF), 2020)

Text-enhanced network representation learning. - Yu Zhu; Zhonglin Ye; Haixing Zhao; Ke Zhang (Frontiers Comput. Sci., 2020)

A practical adversarial attack on Graph Neural Networks by attacking single node structure. - Yang Chen; Zhonglin Ye; Haixing Zhao; Lei Meng 004; Zhaoyang Wang; Yanlin Yang (HPCC/DSS/SmartCity/DependSys, 2022)

Three-Channel Graph Convolutional Network. - Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yanlin Yang; Yang Chen; Zhaoyang Wang (HPCC/DSS/SmartCity/DependSys, 2022)

Linking Prediction Algorithm Integrating with Lower and Higher Order Features. - Xiaoxin Li; Zhonglin Ye; Haixing Zhao; Yanlin Yang (ICBASE, 2022)

Multi-scale Heterogeneous Graph Contrastive Learning*. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yuzhi Xiao; Shujuan Cao (IEEE Big Data, 2023)

BLR: A Multi-modal Sentiment Analysis Model. - Yanglin Yang; Zhonglin Ye; Haixing Zhao; Gege Li; Shujuan Cao (ICANN (10), 2023)

Research on Link Prediction Algorithms Based on Multichannel Structure Modelling. - Gege Li; Lin Zhou; Zhonglin Ye; Haixing Zhao (ICPCSEE (2), 2023)

Qinghai Embroidery Classification System and Intelligent Classification Research. - Xiaofei Lin; Zhonglin Ye; Haixing Zhao (ICPCSEE (2), 2023)

Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks. - Yang Chen; Stjepan Picek; Zhonglin Ye; Zhaoyang Wang; Haixing Zhao (CoRR, 2023)

Applications of Teaching Based on Virtual Reality in Agro-Pastoralism Areas. - Zhonglin Ye; Yanlin Yang; Lei Meng 004; Gege Li; Zhaoyang Wang; Haixing Zhao (Int. J. Inf. Commun. Technol. Educ., 2023)

Feature-Based Graph Backdoor Attack in the Node Classification Task. - Yang Chen 035; Zhonglin Ye; Haixing Zhao; Ying Wang 126 (Int. J. Intell. Syst., 2023)

TAMNR: a network embedding learning algorithm using text attention mechanism. - Wei Zhang; Zhonglin Ye; Haixing Zhao; Jingjing Lin; Xiaojuan Ma (PeerJ Comput. Sci., 2023)

CTNRL: A Novel Network Representation Learning With Three Feature Integrations. - Yanlong Tang; Zhonglin Ye; Haixing Zhao; Ying Ji (Int. J. Data Warehous. Min., 2023)

A Novel Link Prediction Framework Based on Gravitational Field. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (Data Sci. Eng., 2023)

GFNC: Unsupervised Link Prediction Based on Gravitational Field and Node Contraction. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004; Yuzhi Xiao (IEEE Trans. Comput. Soc. Syst., 2023)

LGNN: a novel linear graph neural network algorithm. - Shujuan Cao; Xiaoming Wang; Zhonglin Ye; Mingyuan Li 002; Haixing Zhao (Frontiers Comput. Neurosci., 2023)

A Graph Representation Learning Framework Predicting Potential Multivariate Interactions. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (Int. J. Comput. Intell. Syst., 2023)

TP-GCL: graph contrastive learning from the tensor perspective. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yanglin Yang; Shujuan Cao; Yuzhi Xiao; Haixing Zhao (Frontiers Neurorobotics, 2024)

Multi-channel high-order network representation learning research. - Zhonglin Ye; Yanlong Tang; Haixing Zhao; Zhaoyang Wang; Ying Ji (Frontiers Neurorobotics, 2024)

Dual-channel deep graph convolutional neural networks. - Zhonglin Ye; Zhuoran Li; Gege Li; Haixing Zhao (Frontiers Artif. Intell., 2024)

GSGSL: Gravity-driven self-supervised graph structure learning. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yanlin Yang; Shujuan Cao; Yuzhi Xiao; Haixing Zhao (Inf. Process. Manag., 2024)

Multichannel Adaptive Data Mixture Augmentation for Graph Neural Networks. - Zhonglin Ye; Lin Zhou; Mingyuan Li; Wei Zhang; Zhen Liu; Haixing Zhao (Int. J. Data Warehous. Min., 2024)

Line graph contrastive learning for node classification. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yuzhi Xiao; Shujuan Cao; Haixing Zhao (J. King Saud Univ. Comput. Inf. Sci., 2024)

MASSFormer: Memory-Augmented Spectral-Spatial Transformer for Hyperspectral Image Classification. - Le Sun 002; Hang Zhang; Yuhui Zheng; Zebin Wu 001; Zhonglin Ye; Haixing Zhao (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Joint Contrastive Learning for Aerial Person Re-Identification and Remote Sensing Image Classification. - Guoqing Zhang 002; Jiqiang Li; Zhonglin Ye (Remote. Sens., 2024)

Transformer-Based Feature Compensation Network for Aerial Photography Person and Ground Object Recognition. - Guoqing Zhang 002; Chen Zheng; Zhonglin Ye (Remote. Sens., 2024)

Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification. - Guoqing Zhang 002; Tianqi Liu; Zhonglin Ye (Remote. Sens., 2024)

DeepMCGCN: Multi-channel Deep Graph Neural Networks. - Lei Meng 004; Zhonglin Ye; Yanlin Yang; Haixing Zhao (Int. J. Comput. Intell. Syst., 2024)

Graph neural link predictor based on cycle structure. - Yanlin Yang; Zhonglin Ye; Lei Meng 004; Mingyuan Li 002; Haixing Zhao (CAAI Trans. Intell. Technol., 2025)

The Attack and Defense Researches on the Dual-Layer Network of Multivariable Anomaly Causes. - Jiaxin Han; Rui Zhang; Zhonglin Ye; Xuanrong Huo; Yuzhi Xiao; Yuhui Zheng (Int. J. Intell. Syst., 2025)

Momentum gradient-based untargeted poisoning attack on hypergraph neural networks. - Yang Chen; Stjepan Picek; Zhonglin Ye; Zhaoyang Wang; Haixing Zhao (Neurocomputing, 2025)

Adaptive symbiotic graph convolutional network. - Lin Zhou; Yuzhi Xiao; Zhonglin Ye; Haixing Zhao; Zhen Liu (Neurocomputing, 2025)

A Heterogeneous Network Text Attribute Fusion Method Based on Multi-Level Semantic Relation Contrastive Learning. - Wei Zhang; Zhonglin Ye (Int. J. Data Warehous. Min., 2025)

DeepSCNN: a simplicial convolutional neural network for deep learning. - Chunyang Tang; Zhonglin Ye; Haixing Zhao; Libing Bai; Jingjing Lin (Appl. Intell., 2025)

Self-supervised hypergraph structure learning. - Mingyuan Li 002; Yanlin Yang; Lei Meng 004; Lu Peng; Haixing Zhao; Zhonglin Ye (Artif. Intell. Rev., 2025)