Liang Du

Orcid: 0000-0002-3294-5071

Affiliations:
  • Shanxi University, Institute of Big Data Science and Industry, School of Computer and Information Technology, Taiyuan, China
  • Alibaba Group, Software Engineering (2013-2014)
  • University of Chinese Academy of Sciences, State Key Laboratory of Computer Science, Institute of Software, China (PhD 2013)
  • Hewlett Packard Labs, China


According to our database1, Liang Du authored at least 50 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Partial Clustering Ensemble.
IEEE Trans. Knowl. Data Eng., May, 2024

Multiple kernel clustering with local kernel reconstruction and global heat diffusion.
Inf. Fusion, May, 2024

Clustering Ensemble via Diffusion on Adaptive Multiplex.
IEEE Trans. Knowl. Data Eng., April, 2024

Multi-view Outlier Detection via Graphs Denoising.
Inf. Fusion, January, 2024

2023
Bi-level ensemble method for unsupervised feature selection.
Inf. Fusion, December, 2023

Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining.
IEEE Trans. Knowl. Data Eng., October, 2023

Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering.
ACM Trans. Knowl. Discov. Data, June, 2023

Balanced Spectral Feature Selection.
IEEE Trans. Cybern., 2023

Learnable Graph Filter for Multi-view Clustering.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Active deep image clustering.
Knowl. Based Syst., 2022

Clustering ensemble via structured hypergraph learning.
Inf. Fusion, 2022

2021
Self-Paced Clustering Ensemble.
IEEE Trans. Neural Networks Learn. Syst., 2021

Graph-based Kullback-Leibler Divergence Minimization for Unsupervised Feature Selection.
Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021

Direct Alignment Maximization for Clustering Ensemble.
Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021

Tri-level Robust Clustering Ensemble with Multiple Graph Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Unsupervised feature selection with adaptive multiple graph learning.
Pattern Recognit., 2020

Unsupervised feature selection for balanced clustering.
Knowl. Based Syst., 2020

Local Sensitive Dual Concept Factorization for Unsupervised Feature Selection.
IEEE Access, 2020

Discriminative Multiple Kernel Concept Factorization for Data Representation.
IEEE Access, 2020

Unsupervised Dual Learning for Feature and Instance Selection.
IEEE Access, 2020

Self-paced Consensus Clustering with Bipartite Graph.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Manifold Adaptive Multiple Kernel K-Means for Clustering.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019
Incremental multi-view spectral clustering.
Knowl. Based Syst., 2019

Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises.
IEEE Access, 2019

Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection.
IEEE Access, 2019

Incremental Multi-view Support Vector Machine.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Semi-Supervised Learning Through Label Propagation on Geodesics.
IEEE Trans. Cybern., 2018

2017
Top-k Supervise Feature Selection via ADMM for Integer Programming.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015
Efficient sequential feature selection based on adaptive eigenspace model.
Neurocomputing, 2015

An LLE based Heterogeneous Metric Learning for Cross-media Retrieval.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Unsupervised Feature Selection with Adaptive Structure Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Recovery of Corrupted Multiple Kernels for Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Robust Multiple Kernel K-means Using L21-Norm.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Experimental Design with Multiple Kernels.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Convex Batch Mode Active Sampling via α-Relative Pearson Divergence.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Robust Spectral Learning for Unsupervised Feature Selection.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Update Summarization via Graph-Based Sentence Ranking.
IEEE Trans. Knowl. Data Eng., 2013

Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

A Self-Supervised Framework for Clustering Ensemble.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Joint Clustering and Feature Selection.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Towards Robust Co-Clustering.
Proceedings of the IJCAI 2013, 2013

Local and Global Discriminative Learning for Unsupervised Feature Selection.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Graph-Based Marginal Ranking for Update Summarization.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

User Graph Regularized Pairwise Matrix Factorization for Item Recommendation.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Interval-valued Matrix Factorization with Applications.
Proceedings of the ICDM 2010, 2010

Exploiting novelty, coverage and balance for topic-focused multi-document summarization.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010


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