Tiantian He

Xin Luo

IEEE Trans. Serv. Comput., 2024

A prediction method of diabetes comorbidity based on non-negative latent features.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage.

[BibT_eX]

[DOI]

CoRR, 2024

Road Network Representation Learning with the Third Law of Geography.

[BibT_eX]

[DOI]

CoRR, 2024

Polarized message-passing in graph neural networks.

[BibT_eX]

[DOI]

Artif. Intell., 2024

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Piggybacking on past problem for faster optimization in aluminum electrolysis process design.

[BibT_eX]

[DOI]

Lizhong Yao

Haijun Luo

Eng. Appl. Artif. Intell., November, 2023

Semisupervised Graph Neural Networks for Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., October, 2023

Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2023

2022

Vicinal Vertex Allocation for Matrix Factorization in Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Co-Learning Bayesian Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process.

[BibT_eX]

[DOI]

Appl. Intell., 2022

A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation.

[BibT_eX]

[DOI]

Fanghui Bi

Xin Luo

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Multi-source propagation aware network clustering<sup>☆</sup>.

[BibT_eX]

[DOI]

Pengwei Hu

Neurocomputing, 2021

Exploiting higher-order patterns for community detection in attributed graphs.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2021

Graph Joint Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Fuzzy Community Detection with Multi-View Correlated Topics.

[BibT_eX]

[DOI]

Lizhong Yao

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Learning Conjoint Attentions for Graph Neural Nets.

[BibT_eX]

[DOI]

Yew Soon Ong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Contextual Correlation Preserving Multiview Featured Graph Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Multi-task gradient descent for multi-task learning.

[BibT_eX]

[DOI]

Memetic Comput., 2020

Precise object detection using adversarially augmented local/global feature fusion.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Relational Thematic Clustering with Mutually Preferred Neighbors.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Measuring Boundedness for Protein Complex Identification in PPI Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A Multi-Task Gradient Descent Method for Multi-Label Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Manifold Regularized Stochastic Block Model.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Discovering Fuzzy Structural Patterns for Graph Analytics.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2018

MISAGA: An Algorithm for Mining Interesting Subgraphs in Attributed Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Evolutionary Graph Clustering for Protein Complex Identification.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

An eigenvector based center selection for fast training scheme of RBFNN.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Learning Latent Factors for Community Identification and Summarization.

[BibT_eX]

[DOI]

IEEE Access, 2018

Clustering in Networks with Multi-Modality Attributes.

[BibT_eX]

[DOI]

Libin Yang

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Towards Learning Emotional Subspace.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Learning Latent Factors in Linked Multi-modality Data.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Learning Deep Representations in Large Integrated Network for Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017

Deep Graph Clustering in Social Network.

[BibT_eX]

[DOI]

Pengwei Hu

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Deep Fusion of Multiple Networks for Learning Latent Social Communities.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2014

Evolutionary community detection in social networks.

[BibT_eX]

[DOI]