Dong Huang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Motorcyclist helmet detection in single images: a dual-detection framework with multi-head self-attention.

[BibT_eX]

[DOI]

Soft Comput., March, 2024

Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Joint Multi-View Unsupervised Feature Selection and Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2024

Deep image clustering with contrastive learning and multi-scale graph convolutional networks.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

Learning Attention in the Frequency Domain for Flexible Real Photograph Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Tensorized Incomplete Multi-view Kernel Subspace Clustering.

[BibT_eX]

[DOI]

Guang-Yu Zhang

Neural Networks, 2024

Learning clustering-friendly representations via partial information discrimination and cross-level interaction.

[BibT_eX]

[DOI]

Neural Networks, 2024

Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Deep Temporal Contrastive Clustering.

[BibT_eX]

[DOI]

Ying Zhong

Neural Process. Lett., December, 2023

Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

HOLT-Net: Detecting smokers via human-object interaction with lite transformer network.

[BibT_eX]

[DOI]

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

Heterogeneous Tri-stream Clustering Network.

[BibT_eX]

[DOI]

Xiaozhi Deng

Neural Process. Lett., October, 2023

Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, July, 2023

Strongly augmented contrastive clustering.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss.

[BibT_eX]

[DOI]

Neural Networks, 2023

Facilitated low-rank multi-view subspace clustering.

[BibT_eX]

[DOI]

Guang-Yu Zhang

Knowl. Based Syst., 2023

Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering.

[BibT_eX]

[DOI]

Inf. Fusion, 2023

One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering.

[BibT_eX]

[DOI]

CoRR, 2023

On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Attributed Graph Clustering with Graph Attention Network.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

2022

Node Pair Information Preserving Network Embedding Based on Adversarial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Multiview Subspace Clustering With Grouping Effect.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Representation Learning in Multi-view Clustering: A Literature Review.

[BibT_eX]

[DOI]

Data Sci. Eng., 2022

Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Vision Transformer for Contrastive Clustering.

[BibT_eX]

[DOI]

CoRR, 2022

DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Kernelized multi-view subspace clustering via auto-weighted graph learning.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Adaptively-weighted Integral Space for Fast Multiview Clustering.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Efficient Orthogonal Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

D-TRACE: Deep Triply-Aligned Clustering.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Attributed Network Embedding with Micro-Meso Structure.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Relaxed multi-view clustering in latent embedding space.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Joint representation learning for multi-view subspace clustering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Single-Image Smoker Detection by Human-Object Interaction with Post-refinement.

[BibT_eX]

[DOI]

Hua-Bao Ling

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Detecting Helmets on Motorcyclists by Deep Neural Networks with a Dual-Detection Scheme.

[BibT_eX]

[DOI]

Chun-Hong Li

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Link-Based Consensus Clustering with Random Walk Propagation.

[BibT_eX]

[DOI]

Xiaosha Cai

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Consistency- and Inconsistency-Aware Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Ultra-Scalable Spectral Clustering and Ensemble Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Community Detection by Motif-Aware Label Propagation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

One-step Kernel Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Subspace-Weighted Consensus Clustering for High-Dimensional Data.

[BibT_eX]

[DOI]

Xiaosha Cai

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

Multi-View Clustering in Latent Embedding Space.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Unsupervised feature selection with multi-subspace randomization and collaboration.

[BibT_eX]

[DOI]

Xiaosha Cai

Knowl. Based Syst., 2019

LSCD: Low-rank and sparse cross-domain recommendation.

[BibT_eX]

[DOI]

Neurocomputing, 2019

PartNRL: Partial Nodes Representation Learning in Large-Scale Network.

[BibT_eX]

[DOI]

IEEE Access, 2019

Laplacian-Weighted Random Forest for High-Dimensional Data Classification.

[BibT_eX]

[DOI]

Jianheng Liang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Meta-cluster Based Consensus Clustering with Local Weighting and Random Walking.

[BibT_eX]

[DOI]

Nannan He

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

Ensemble-Initialized k-Means Clustering.

[BibT_eX]

[DOI]

Shasha Xu

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering.

[BibT_eX]

[DOI]

Youwei Liang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Network embedding with class discriminability.

[BibT_eX]

[DOI]

Proceedings of the ACM Turing Celebration Conference - China, 2019

2018

Locally Weighted Ensemble Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

TW-Co-<i>k</i>-means: Two-level weighted collaborative <i>k</i>-means for multi-view clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Community Detection Using Attribute Homogenous Motif.

[BibT_eX]

[DOI]

IEEE Access, 2018

A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs.

[BibT_eX]

[DOI]

Shili Xiang

Xiaoli Li

Proceedings of the TENCON 2018, 2018

Ensemble Clustering by Noise-Aware Graph Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Information Technology: IoT and Smart City, 2018

Low-Rank and Sparse Cross-Domain Recommendation Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

2017

CCMS: A nonlinear clustering method based on crowd movement and selection.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Multi-view collaborative locally adaptive clustering with Minkowski metric.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2017

Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data.

[BibT_eX]

[DOI]

CoRR, 2017

Community Detection in Graph Streams by Pruning Zombie Nodes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Event Recommendation via Collective Matrix Factorization with Event-User Neighborhood.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2017

LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Robust Ensemble Clustering Using Probability Trajectories.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Ensemble clustering using factor graph.

[BibT_eX]

[DOI]

Jianhuang Lai

Pattern Recognit., 2016

Ensembling over-segmentations: From weak evidence to strong segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2016

CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

An Efficient Parallel Nonlinear Clustering Algorithm Using MapReduce.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Weighted Multi-view On-Line Competitive Clustering.

[BibT_eX]

[DOI]

Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

2015

Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Orthogonal mechanism for answering batch queries with differential privacy.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy.

[BibT_eX]

[DOI]

Shuguo Han

Xiaoli Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2013

SVStream: A Support Vector-Based Algorithm for Clustering Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Exploiting the Wisdom of Crowd: A Multi-granularity Approach to Clustering Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Intelligence Science and Big Data Engineering, 2013

2012

Incremental support vector clustering with outlier detection.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Incremental Support Vector Clustering.

[BibT_eX]

[DOI]

Proceedings of the Data Mining Workshops (ICDMW), 2011

Kernel-Based Clustering with Automatic Cluster Number Selection.

[BibT_eX]

[DOI]