Zhuanlian Ding

According to our database, Zhuanlian Ding authored at least 28 papers between 2013 and 2024.

Collaborative distances:

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

2024

Efficient Sparse Large-Scale Multiobjective Optimization Based on Cross-Scale Knowledge Fusion.

Zhuanlian Ding, Lei Chen, Dengdi Sun, Xingyi Zhang, Wei Liu

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

2023

Large-scale multimodal multiobjective evolutionary optimization based on hybrid hierarchical clustering.

Zhuanlian Ding, Lve Cao, Lei Chen, Dengdi Sun, Xingyi Zhang, Zhifu Tao

Knowl. Based Syst., April, 2023

An Attention-Driven Multi-label Image Classification with Semantic Embedding and Graph Convolutional Networks.

Dengdi Sun, Leilei Ma, Zhuanlian Ding, Bin Luo

Cogn. Comput., 2023

GLASS: A Graph Laplacian Autoencoder with Subspace Clustering Regularization for Graph Clustering.

Dengdi Sun, Liang Liu, Bin Luo, Zhuanlian Ding

Cogn. Comput., 2023

2022

Multitask Multigranularity Aggregation With Global-Guided Attention for Video Person Re-Identification.

Dengdi Sun, Jiale Huang, Lei Hu, Jin Tang, Zhuanlian Ding

IEEE Trans. Circuits Syst. Video Technol., 2022

A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems.

Zhuanlian Ding, Lei Chen, Dengdi Sun, Xingyi Zhang

Swarm Evol. Comput., 2022

SILP-autoencoder for face de-occlusion.

Dengdi Sun, Wandong Xie, Zhuanlian Ding, Jin Tang

Neurocomputing, 2022

Action Recognition with a Multi-View Temporal Attention Network.

Dengdi Sun, Zhixiang Su, Zhuanlian Ding, Bin Luo

Cogn. Comput., 2022

A2AE: Towards adaptive multi-view graph representation learning via all-to-all graph autoencoder architecture.

Dengdi Sun, Dashuang Li, Zhuanlian Ding, Xingyi Zhang, Jin Tang

Appl. Soft Comput., 2022

Confidence-Based Simple Graph Convolutional Networks for Face Clustering.

Dengdi Sun, Kang Yang, Zhuanlian Ding

IEEE Access, 2022

Graph Contrastive Learning with Intrinsic Augmentations.

Dengdi Sun, Mingxin Cao, Zhuanlian Ding, Bin Luo

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2022

2021

Dual-decoder graph autoencoder for unsupervised graph representation learning.

Dengdi Sun, Dashuang Li, Zhuanlian Ding, Xingyi Zhang, Jin Tang

Knowl. Based Syst., 2021

Salient Object Detection Based on Multi-layer Cascade and Fine Boundary.

Dengdi Sun, Xiangjie Lv, Shilei Huang, Lin Yao, Zhuanlian Ding

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2020

Information Enhanced Graph Convolutional Networks for Skeleton-based Action Recognition.

Dengdi Sun, Fanchen Zeng, Bin Luo, Jin Tang, Zhuanlian Ding

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Saliency Optimization Integrated Robust Background Detection with Global Ranking.

Zipeng Zhang, Yixiao Liang, Jian Zheng, Kai Li, Zhuanlian Ding, Dengdi Sun

Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

Salient Object Detection Based on Deep Multi-level Cascade Network.

Dengdi Sun, Hang Wu, Zhuanlian Ding, Sheng Li, Bin Luo

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Adaptive Video Summarization via Robust Representation and Structured Sparsity.

Manjin Sheng, Jiayu Shi, Dengdi Sun, Zhuanlian Ding, Bin Luo

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Correlated Protein Function Prediction with Robust Feature Selection.

Dengdi Sun, Haifeng Sun, Hang Wu, Huadong Liang, Zhuanlian Ding

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

RGB-T Saliency Detection via Robust Graph Learning and Collaborative Manifold Ranking.

Dengdi Sun, Sheng Li, Zhuanlian Ding, Bin Luo

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

Dual-Graph Regularized Sparse Low-Rank Matrix Recovery for Tag Refinement.

Dengdi Sun, Yuanyuan Bao, Meiling Ge, Zhuanlian Ding, Bin Luo

Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018

Low-rank subspace learning based network community detection.

Zhuanlian Ding, Xingyi Zhang, Dengdi Sun, Bin Luo

Knowl. Based Syst., 2018

Spatial-Temporal Attention for Action Recognition.

Dengdi Sun, Hanqing Wu, Zhuanlian Ding, Bin Luo, Jin Tang

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017

Protein functional annotation refinement based on graph regularized ℓ₁-norm PCA.

Dengdi Sun, Huadong Liang, Meiling Ge, Zhuanlian Ding, Wan-Ting Cai, Bin Luo

Pattern Recognit. Lett., 2017

Learning Multiscale Deep Features and SVM Regressors for Adaptive RGB-T Saliency Detection.

Yunpeng Ma, Dengdi Sun, Qianqian Meng, Zhuanlian Ding, Chenglong Li

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

2016

Clique-Based Locally Consistent Latent Space Clustering for Community Detection.

Zhuanlian Ding, Dengdi Sun, Xingyi Zhang, Bin Luo

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Protein Function Prediction Using Multi-label Learning and ISOMAP Embedding.

Huadong Liang, Dengdi Sun, Zhuanlian Ding, Meiling Ge

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2014

Implementation of Membrane Algorithms on GPU.

Xingyi Zhang, Bangju Wang, Zhuanlian Ding, Jin Tang, Juanjuan He

J. Appl. Math., 2014

2013

A Local Elitism Based Membrane Evolutionary Algorithm for Point Pattern Matching.

Zhuanlian Ding, Jin Tang, Xingyi Zhang, Bin Luo

Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013