We stand with Ukraine

We stand with Ukraine

Zhonglin Ye

Orcid: 0000-0002-2429-3325

According to our database¹, Zhonglin Ye authored at least 59 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

SketchGraphNet: A Memory-Efficient Hybrid Graph Transformer for Large-Scale Sketch Corpora Recognition.

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CoRR, March, 2026

FDAGCL:Feature Discrepancy-Aware Graph Contrastive Learning.

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Neural Process. Lett., February, 2026

Identity Clue Refinement and Enhancement for Visible-Infrared Person Re-Identification.

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IEEE Trans. Multim., 2026

CSCA: Channel-specific information contrast and aggregation for weakly supervised semantic segmentation.

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J. Vis. Commun. Image Represent., 2026

Hyperbolic simplicial convolutional network.

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Expert Syst. Appl., 2026

GLPACO: Global and local perspective adaptive collaborative optimisation for graph contrastive learning.

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Expert Syst. Appl., 2026

Unsupervised hyperlink prediction based on hypergraph random walk.

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Complex Intell. Syst., 2026

Multi-scale tree-guided contrastive learning for structure-aware graph representation.

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Complex Intell. Syst., 2026

Multivariate Anomaly Detection Based on Spatio-Temporal Graph Structure Perception.

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IEEE Access, 2026

2025

Identity Clue Refinement and Enhancement for Visible-Infrared Person Re-Identification.

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CoRR, December, 2025

Self-supervised hypergraph structure learning.

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Artif. Intell. Rev., June, 2025

DeepSCNN: a simplicial convolutional neural network for deep learning.

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Appl. Intell., February, 2025

Generalised tensor-based hypergraph attention network.

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Knowl. Based Syst., 2025

A Heterogeneous Network Text Attribute Fusion Method Based on Multi-Level Semantic Relation Contrastive Learning.

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Int. J. Data Warehous. Min., 2025

Adaptive symbiotic graph convolutional network.

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Neurocomputing, 2025

Momentum gradient-based untargeted poisoning attack on hypergraph neural networks.

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Neurocomputing, 2025

The Attack and Defense Researches on the Dual-Layer Network of Multivariable Anomaly Causes.

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Int. J. Intell. Syst., 2025

M2GNN: Multi-Scale Multi-Channel Graph Neural Network.

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IEICE Trans. Inf. Syst., 2025

Graph neural link predictor based on cycle structure.

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CAAI Trans. Intell. Technol., 2025

2024

DeepMCGCN: Multi-channel Deep Graph Neural Networks.

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

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

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Remote. Sens., March, 2024

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

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Remote. Sens., January, 2024

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

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Remote. Sens., January, 2024

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

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IEEE Trans. Geosci. Remote. Sens., 2024

Line graph contrastive learning for node classification.

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

Multichannel Adaptive Data Mixture Augmentation for Graph Neural Networks.

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Int. J. Data Warehous. Min., 2024

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

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Inf. Process. Manag., 2024

Dual-channel deep graph convolutional neural networks.

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Frontiers Artif. Intell., 2024

Multi-channel high-order network representation learning research.

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Frontiers Neurorobotics, 2024

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

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Frontiers Neurorobotics, 2024

Imperceptible graph injection attack on graph neural networks.

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Complex Intell. Syst., 2024

2023

A Graph Representation Learning Framework Predicting Potential Multivariate Interactions.

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

LGNN: a novel linear graph neural network algorithm.

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Frontiers Comput. Neurosci., September, 2023

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

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

A Novel Link Prediction Framework Based on Gravitational Field.

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Data Sci. Eng., March, 2023

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

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Int. J. Data Warehous. Min., January, 2023

TAMNR: a network embedding learning algorithm using text attention mechanism.

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PeerJ Comput. Sci., 2023

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

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Int. J. Intell. Syst., 2023

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

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

Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks.

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CoRR, 2023

Qinghai Embroidery Classification System and Intelligent Classification Research.

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Proceedings of the Data Science, 2023

Research on Link Prediction Algorithms Based on Multichannel Structure Modelling.

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Proceedings of the Data Science, 2023

BLR: A Multi-modal Sentiment Analysis Model.

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Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Multi-scale Heterogeneous Graph Contrastive Learning<sup>*</sup>.

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Proceedings of the IEEE International Conference on Big Data, 2023

2022

Linking Prediction Algorithm Integrating with Lower and Higher Order Features.

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

Three-Channel Graph Convolutional Network.

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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.

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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.

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Frontiers Comput. Sci., 2020

Hypernetwork Model Based on Logistic Regression.

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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).

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计算机科学, 2019

Network representation based on the joint learning of three feature views.

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Big Data Min. Anal., 2019

Multi-View Network Representation Learning Algorithm Research.

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Algorithms, 2019

Improved DeepWalk Algorithm Based on Preference Random Walk.

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Proceedings of the Natural Language Processing and Chinese Computing, 2019

Link Prediction Based on Gravitational Field of Complex Network.

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Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

Syntactic word embedding based on dependency syntax and polysemous analysis.

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Frontiers Inf. Technol. Electron. Eng., 2018

Network Representation Learning Based on Community and Text Features.

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

Text-Associated Max-Margin DeepWalk.

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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).

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计算机科学, 2017

2015

Research on Open Domain Question Answering System.

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

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