Zhonglin Ye

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Image Classification

Graph Representation

Link Prediction

Top Venues

Frontiers Neurorobotics

Int. J. Comput. Intell. Syst.

Publications

Mingyuan Li, Lei Meng, Zhonglin Ye, Yanglin Yang, Shujuan Cao, Yuzhi Xiao, Haixing Zhao
TP-GCL: graph contrastive learning from the tensor perspective. Frontiers Neurorobotics 18 (2024)
Guoqing Zhang, Chen Zheng, Zhonglin Ye
Transformer-Based Feature Compensation Network for Aerial Photography Person and Ground Object Recognition. Remote. Sens. 16 (2) (2024)
Zhonglin Ye, Yanlong Tang, Haixing Zhao, Zhaoyang Wang, Ying Ji
Multi-channel high-order network representation learning research. Frontiers Neurorobotics 18 (2024)
Zhonglin Ye, Zhuoran Li, Gege Li, Haixing Zhao
Dual-channel deep graph convolutional neural networks. Frontiers Artif. Intell. 7 (2024)
Guoqing Zhang, Tianqi Liu, Zhonglin Ye
Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification. Remote. Sens. 16 (5) (2024)
Mingyuan Li, Lei Meng, Zhonglin Ye, Yuzhi Xiao, Shujuan Cao, Haixing Zhao
Line graph contrastive learning for node classification. J. King Saud Univ. Comput. Inf. Sci. 36 (4) (2024)
Guoqing Zhang, Jiqiang Li, Zhonglin Ye
Unsupervised Joint Contrastive Learning for Aerial Person Re-Identification and Remote Sensing Image Classification. Remote. Sens. 16 (2) (2024)
Le Sun, Hang Zhang, Yuhui Zheng, Zebin Wu, Zhonglin Ye, Haixing Zhao
MASSFormer: Memory-Augmented Spectral-Spatial Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Lei Meng, Zhonglin Ye, Yanlin Yang, Haixing Zhao
DeepMCGCN: Multi-channel Deep Graph Neural Networks. Int. J. Comput. Intell. Syst. 17 (1) (2024)
Mingyuan Li, Lei Meng, Zhonglin Ye, Yanlin Yang, Shujuan Cao, Yuzhi Xiao, Haixing Zhao
GSGSL: Gravity-driven self-supervised graph structure learning. Inf. Process. Manag. 61 (4) (2024)
Xiaofei Lin, Zhonglin Ye, Haixing Zhao
Qinghai Embroidery Classification System and Intelligent Classification Research. ICPCSEE (2) (2023)
Shujuan Cao, Xiaoming Wang, Zhonglin Ye, Mingyuan Li, Haixing Zhao
LGNN: a novel linear graph neural network algorithm. Frontiers Comput. Neurosci. 17 (2023)
Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng
A Graph Representation Learning Framework Predicting Potential Multivariate Interactions. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Wei Zhang, Zhonglin Ye, Haixing Zhao, Jingjing Lin, Xiaojuan Ma
TAMNR: a network embedding learning algorithm using text attention mechanism. PeerJ Comput. Sci. 9 (2023)
Mingyuan Li, Lei Meng, Zhonglin Ye, Haixing Zhao, Yuzhi Xiao, Shujuan Cao
. BigData (2023)
Zhonglin Ye, Yanlin Yang, Lei Meng, Gege Li, Zhaoyang Wang, Haixing Zhao
Applications of Teaching Based on Virtual Reality in Agro-Pastoralism Areas. Int. J. Inf. Commun. Technol. Educ. 19 (1) (2023)
Yang Chen, Stjepan Picek, Zhonglin Ye, Zhaoyang Wang, Haixing Zhao
Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks. CoRR (2023)
Gege Li, Lin Zhou, Zhonglin Ye, Haixing Zhao
Research on Link Prediction Algorithms Based on Multichannel Structure Modelling. ICPCSEE (2) (2023)
Yanlong Tang, Zhonglin Ye, Haixing Zhao, Ying Ji
CTNRL: A Novel Network Representation Learning With Three Feature Integrations. Int. J. Data Warehous. Min. 19 (2) (2023)
Yang Chen, Zhonglin Ye, Haixing Zhao, Ying Wang
Feature-Based Graph Backdoor Attack in the Node Classification Task. Int. J. Intell. Syst. 2023 (2023)
Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng, Yuzhi Xiao
GFNC: Unsupervised Link Prediction Based on Gravitational Field and Node Contraction. IEEE Trans. Comput. Soc. Syst. 10 (4) (2023)
Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng
A Novel Link Prediction Framework Based on Gravitational Field. Data Sci. Eng. 8 (1) (2023)
Xiaoxin Li, Zhonglin Ye, Haixing Zhao, Yanlin Yang
Linking Prediction Algorithm Integrating with Lower and Higher Order Features. ICBASE (2022)
Yang Chen, Zhonglin Ye, Haixing Zhao, Lei Meng, Zhaoyang Wang, Yanlin Yang
A practical adversarial attack on Graph Neural Networks by attacking single node structure. HPCC/DSS/SmartCity/DependSys (2022)
Lei Meng, Zhonglin Ye, Haixing Zhao, Yanlin Yang, Yang Chen, Zhaoyang Wang
Three-Channel Graph Convolutional Network. HPCC/DSS/SmartCity/DependSys (2022)
Yu Zhu, Zhonglin Ye, Haixing Zhao, Ke Zhang
Text-enhanced network representation learning. Frontiers Comput. Sci. 14 (6) (2020)
Lei Meng, Zhonglin Ye, Haixing Zhao, Yanlin Yang, Fuxiang Ma
Hypernetwork Model Based on Logistic Regression. Big Data (CCF) (2020)
Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu
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). 计算机科学 46 (1) (2019)
Zhonglin Ye, Haixing Zhao, Ke Zhang, Zhaoyang Wang, Yu Zhu
Network representation based on the joint learning of three feature views. Big Data Min. Anal. 2 (4) (2019)
Yanlin Yang, Zhonglin Ye, Haixing Zhao, Lei Meng
Link Prediction Based on Gravitational Field of Complex Network. DASC/PiCom/DataCom/CyberSciTech (2019)
Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu, Yuzhi Xiao, Zhaoyang Wang
Improved DeepWalk Algorithm Based on Preference Random Walk. NLPCC (1) (2019)
Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu
Multi-View Network Representation Learning Algorithm Research. Algorithms 12 (3) (2019)
Zhonglin Ye, Haixing Zhao
Syntactic word embedding based on dependency syntax and polysemous analysis. Frontiers Inf. Technol. Electron. Eng. 19 (4) (2018)
Zhonglin Ye, Haixing Zhao, Ke Zhang, Yu Zhu, Yuzhi Xiao
Text-Associated Max-Margin DeepWalk. Big Data (CCF) (2018)
Yu Zhu, Zhonglin Ye, Haixing Zhao, Ke Zhang
Network Representation Learning Based on Community and Text Features. CCL (2018)
Zhonglin Ye, Zhen Jia, Hongfeng Yin
多领域自然语言问句理解研究 (Research on Multi-domain Natural Language Question Understanding). 计算机科学 44 (6) (2017)
Zhonglin Ye, Zheng Jia, Yan Yang, Junfu Huang, Hongfeng Yin
Research on Open Domain Question Answering System. NLPCC (2015)