Zhonglin Ye

According to our database, Zhonglin Ye authored at least 38 papers between 2015 and 2024.

Collaborative distances:

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

2024

DeepMCGCN: Multi-channel Deep Graph Neural Networks.

Lei Meng, Zhonglin Ye, Yanlin Yang, Haixing Zhao

Int. J. Comput. Intell. Syst., December, 2024

Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification.

Guoqing Zhang, Tianqi Liu, Zhonglin Ye

Remote. Sens., March, 2024

Transformer-Based Feature Compensation Network for Aerial Photography Person and Ground Object Recognition.

Guoqing Zhang, Chen Zheng, Zhonglin Ye

Remote. Sens., January, 2024

Unsupervised Joint Contrastive Learning for Aerial Person Re-Identification and Remote Sensing Image Classification.

Guoqing Zhang, Jiqiang Li, Zhonglin Ye

Remote. Sens., January, 2024

MASSFormer: Memory-Augmented Spectral-Spatial Transformer for Hyperspectral Image Classification.

Le Sun, Hang Zhang, Yuhui Zheng, Zebin Wu, Zhonglin Ye, Haixing Zhao

IEEE Trans. Geosci. Remote. Sens., 2024

Line graph contrastive learning for node classification.

Mingyuan Li, Lei Meng, Zhonglin Ye, Yuzhi Xiao, Shujuan Cao, Haixing Zhao

J. King Saud Univ. Comput. Inf. Sci., 2024

GSGSL: Gravity-driven self-supervised graph structure learning.

Mingyuan Li, Lei Meng, Zhonglin Ye, Yanlin Yang, Shujuan Cao, Yuzhi Xiao, Haixing Zhao

Inf. Process. Manag., 2024

Dual-channel deep graph convolutional neural networks.

Zhonglin Ye, Zhuoran Li, Gege Li, Haixing Zhao

Frontiers Artif. Intell., 2024

Multi-channel high-order network representation learning research.

Zhonglin Ye, Yanlong Tang, Haixing Zhao, Zhaoyang Wang, Ying Ji

Frontiers Neurorobotics, 2024

TP-GCL: graph contrastive learning from the tensor perspective.

Mingyuan Li, Lei Meng, Zhonglin Ye, Yanglin Yang, Shujuan Cao, Yuzhi Xiao, Haixing Zhao

Frontiers Neurorobotics, 2024

2023

A Graph Representation Learning Framework Predicting Potential Multivariate Interactions.

Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng

Int. J. Comput. Intell. Syst., December, 2023

LGNN: a novel linear graph neural network algorithm.

Shujuan Cao, Xiaoming Wang, Zhonglin Ye, Mingyuan Li, Haixing Zhao

Frontiers Comput. Neurosci., September, 2023

GFNC: Unsupervised Link Prediction Based on Gravitational Field and Node Contraction.

Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng, Yuzhi Xiao

IEEE Trans. Comput. Soc. Syst., August, 2023

A Novel Link Prediction Framework Based on Gravitational Field.

Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng

Data Sci. Eng., March, 2023

CTNRL: A Novel Network Representation Learning With Three Feature Integrations.

Yanlong Tang, Zhonglin Ye, Haixing Zhao, Ying Ji

Int. J. Data Warehous. Min., January, 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

Feature-Based Graph Backdoor Attack in the Node Classification Task.

Yang Chen, Zhonglin Ye, Haixing Zhao, Ying Wang

Int. J. Intell. Syst., 2023

Applications of Teaching Based on Virtual Reality in Agro-Pastoralism Areas.

Zhonglin Ye, Yanlin Yang, Lei Meng, Gege Li, Zhaoyang Wang, Haixing Zhao

Int. J. Inf. Commun. Technol. Educ., 2023

Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks.

Yang Chen, Stjepan Picek, Zhonglin Ye, Zhaoyang Wang, Haixing Zhao

CoRR, 2023

Qinghai Embroidery Classification System and Intelligent Classification Research.

Xiaofei Lin, Zhonglin Ye, Haixing Zhao

Proceedings of the Data Science, 2023

Research on Link Prediction Algorithms Based on Multichannel Structure Modelling.

Gege Li, Lin Zhou, Zhonglin Ye, Haixing Zhao

Proceedings of the Data Science, 2023

BLR: A Multi-modal Sentiment Analysis Model.

Yanglin Yang, Zhonglin Ye, Haixing Zhao, Gege Li, Shujuan Cao

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Multi-scale Heterogeneous Graph Contrastive Learning^*.

Mingyuan Li, Lei Meng, Zhonglin Ye, Haixing Zhao, Yuzhi Xiao, Shujuan Cao

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Linking Prediction Algorithm Integrating with Lower and Higher Order Features.

Xiaoxin Li, Zhonglin Ye, Haixing Zhao, Yanlin Yang

Proceedings of the 3rd International Conference on Big Data & Artificial Intelligence & Software Engineering, 2022

Three-Channel Graph Convolutional Network.

Lei Meng, Zhonglin Ye, Haixing Zhao, Yanlin Yang, Yang Chen, Zhaoyang Wang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

A practical adversarial attack on Graph Neural Networks by attacking single node structure.

Yang Chen, Zhonglin Ye, Haixing Zhao, Lei Meng, Zhaoyang Wang, Yanlin Yang

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2020

Text-enhanced network representation learning.

Yu Zhu, Zhonglin Ye, Haixing Zhao, Ke Zhang

Frontiers Comput. Sci., 2020

Hypernetwork Model Based on Logistic Regression.

Lei Meng, Zhonglin Ye, Haixing Zhao, Yanlin Yang, Fuxiang Ma

Proceedings of the Big Data - 8th CCF Conference, 2020

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

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

Multi-View Network Representation Learning Algorithm Research.

Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu

Algorithms, 2019

Improved DeepWalk Algorithm Based on Preference Random Walk.

Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu, Yuzhi Xiao, Zhaoyang Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Link Prediction Based on Gravitational Field of Complex Network.

Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

Syntactic word embedding based on dependency syntax and polysemous analysis.

Zhonglin Ye, Haixing Zhao

Frontiers Inf. Technol. Electron. Eng., 2018

Network Representation Learning Based on Community and Text Features.

Yu Zhu, Zhonglin Ye, Haixing Zhao, Ke Zhang

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

Text-Associated Max-Margin DeepWalk.

Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu, Yuzhi Xiao

Proceedings of the Big Data - 6th CCF Conference, 2018

2017

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

2015

Research on Open Domain Question Answering System.

Zhonglin Ye, Zheng Jia, Yan Yang, Junfu Huang, Hongfeng Yin

Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015