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ORCIDLiang Du 0003
Person information
- affiliation: Shanxi University, Institute of Big Data Science and Industry, School of Computer and Information Technology, Taiyuan, China
- affiliation (2013-2014): Alibaba Group, Software Engineering
- affiliation (PhD 2013): University of Chinese Academy of Sciences, State Key Laboratory of Computer Science, Institute of Software, China
- affiliation: Hewlett Packard Labs, China
Other persons with the same name
- Liang Du — disambiguation page
- Liang Du 0001
![[0000-0002-2663-0751]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2663-0751")
— Temple University, School of Electrical and Computer Engineering, Philadelphia, USA (and 1 more) - Liang Du 0002 — Ritsumeikan University, Department of Robotics, Kusatsu, Japan (and 1 more)
- Liang Du 0004 — Fudan University, Institute of Science and Technology for Brain-Inspired Intelligence, Shanghai, China (and 1 more)
- Liang Du 0005 — Nanyang Technological University, School of Civil and Environmental Engineering, Singapore
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2020 – today
- 2024
[j22]Boao Hu, Xu Wang, Peng Zhou, Liang Du:
Multi-view Outlier Detection via Graphs Denoising. Inf. Fusion 101: 102012 (2024)- [j21]Yan Chen, Liang Du, Peng Zhou, Lei Duan, Yuhua Qian:
Multiple kernel clustering with local kernel reconstruction and global heat diffusion. Inf. Fusion 105: 102219 (2024) - [j20]Peng Zhou, Boao Hu, Dengcheng Yan, Liang Du:
Clustering Ensemble via Diffusion on Adaptive Multiplex. IEEE Trans. Knowl. Data Eng. 36(4): 1463-1474 (2024) - [j19]Peng Zhou, Liang Du, Xinwang Liu, Zhaolong Ling, Xia Ji, Xuejun Li, Yi-Dong Shen:
Partial Clustering Ensemble. IEEE Trans. Knowl. Data Eng. 36(5): 2096-2109 (2024) - 2023
- [j18]Peng Zhou, Xia Wang, Liang Du:
Bi-level ensemble method for unsupervised feature selection. Inf. Fusion 100: 101910 (2023) - [j17]Peng Zhou, Jiangyong Chen, Liang Du, Xuejun Li:
Balanced Spectral Feature Selection. IEEE Trans. Cybern. 53(7): 4232-4244 (2023) - [j16]Peng Zhou, Xinwang Liu, Liang Du, Xuejun Li:
Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering. ACM Trans. Knowl. Discov. Data 17(5): 62:1-62:35 (2023) - [j15]Peng Zhou, Liang Du, Xuejun Li:
Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining. IEEE Trans. Knowl. Data Eng. 35(10): 10251-10264 (2023) - [c28]Peng Zhou, Liang Du:
Learnable Graph Filter for Multi-view Clustering. ACM Multimedia 2023: 3089-3098 - 2022
- [j14]Peng Zhou, Xia Wang, Liang Du, Xuejun Li:
Clustering ensemble via structured hypergraph learning. Inf. Fusion 78: 171-179 (2022) - [j13]Bicheng Sun, Peng Zhou, Liang Du, Xuejun Li:
Active deep image clustering. Knowl. Based Syst. 252: 109346 (2022) - 2021
- [j12]Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li:
Self-Paced Clustering Ensemble. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1497-1511 (2021) - [c27]Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li:
Tri-level Robust Clustering Ensemble with Multiple Graph Learning. AAAI 2021: 11125-11133 - [c26]Liang Du, Kang Yang, Yunhui Liang, Xiaolin Lv:
Direct Alignment Maximization for Clustering Ensemble. ICMLSC 2021: 38-43 - [c25]Xiaolin Lv, Liang Du:
Graph-based Kullback-Leibler Divergence Minimization for Unsupervised Feature Selection. ICMLSC 2021: 109-114 - 2020
- [j11]Hua Zhao, Liang Du, Jianglai Wei, Yalong Fan:
Local Sensitive Dual Concept Factorization for Unsupervised Feature Selection. IEEE Access 8: 133128-133143 (2020) - [j10]Liang Du, Xin Ren, Peng Zhou, Zhiguo Hu:
Unsupervised Dual Learning for Feature and Instance Selection. IEEE Access 8: 170248-170260 (2020) - [j9]Lin Mu, Haiying Zhang, Liang Du, Jie Gui, Aidan Li, Xi Zhang:
Discriminative Multiple Kernel Concept Factorization for Data Representation. IEEE Access 8: 175086-175100 (2020) - [j8]Peng Zhou, Jiangyong Chen, Mingyu Fan, Liang Du, Yi-Dong Shen, Xuejun Li:
Unsupervised feature selection for balanced clustering. Knowl. Based Syst. 193: 105417 (2020) - [j7]Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian:
Unsupervised feature selection with adaptive multiple graph learning. Pattern Recognit. 105: 107375 (2020) - [c24]Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv:
Manifold Adaptive Multiple Kernel K-Means for Clustering. ACAI 2020: 16:1-16:7 - [c23]Peng Zhou, Liang Du, Xuejun Li:
Self-paced Consensus Clustering with Bipartite Graph. IJCAI 2020: 2133-2139 - [i2]Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv:
Manifold Adaptive Multiple Kernel K-Means for Clustering. CoRR abs/2009.14389 (2020)
2010 – 2019
- 2019
- [j6]Peng Zhou, Fan Ye, Liang Du:
Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises. IEEE Access 7: 34451-34461 (2019) - [j5]Liang Du, Chaohong Ren, Xiaolin Lv, Yan Chen, Peng Zhou, Zhiguo Hu:
Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection. IEEE Access 7: 102921-102930 (2019) - [j4]Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li:
Incremental multi-view spectral clustering. Knowl. Based Syst. 174: 73-86 (2019) - [c22]Liang Du, Xiaolin Lv:
Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection. ICDM Workshops 2019: 615-619 - [c21]Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye:
Incremental Multi-view Support Vector Machine. SDM 2019: 1-9 - 2018
- [j3]Mingyu Fan, Xiaoqin Zhang, Liang Du, Liang Chen, Dacheng Tao:
Semi-Supervised Learning Through Label Propagation on Geodesics. IEEE Trans. Cybern. 48(5): 1486-1499 (2018) - 2017
- [c20]Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du:
Top-k Supervise Feature Selection via ADMM for Integer Programming. IJCAI 2017: 1646-1653 - 2015
- [j2]Nannan Gu, Mingyu Fan, Liang Du, Dongchun Ren:
Efficient sequential feature selection based on adaptive eigenspace model. Neurocomputing 161: 199-209 (2015) - [c19]Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen:
Convex Batch Mode Active Sampling via α-Relative Pearson Divergence. AAAI 2015: 3045-3051 - [c18]Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen:
Experimental Design with Multiple Kernels. ICDM 2015: 419-428 - [c17]Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen:
Robust Multiple Kernel K-means Using L21-Norm. IJCAI 2015: 3476-3482 - [c16]Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen:
Recovery of Corrupted Multiple Kernels for Clustering. IJCAI 2015: 4105-4111 - [c15]Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen:
Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. IJCAI 2015: 4112-4118 - [c14]Liang Du, Yi-Dong Shen:
Unsupervised Feature Selection with Adaptive Structure Learning. KDD 2015: 209-218 - [c13]Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen:
An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. SDM 2015: 64-72 - [i1]Liang Du, Yi-Dong Shen:
Unsupervised Feature Selection with Adaptive Structure Learning. CoRR abs/1504.00736 (2015) - 2014
- [c12]Lei Shi, Liang Du, Yi-Dong Shen:
Robust Spectral Learning for Unsupervised Feature Selection. ICDM 2014: 977-982 - 2013
- [j1]Xuan Li, Liang Du, Yi-Dong Shen:
Update Summarization via Graph-Based Sentence Ranking. IEEE Trans. Knowl. Data Eng. 25(5): 1162-1174 (2013) - [c11]Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou, Yi-Dong Shen:
Local and Global Discriminative Learning for Unsupervised Feature Selection. ICDM 2013: 131-140 - [c10]Liang Du, Yi-Dong Shen:
Towards Robust Co-Clustering. IJCAI 2013: 1317-1322 - [c9]Liang Du, Yi-Dong Shen:
Joint Clustering and Feature Selection. WAIM 2013: 241-252 - [c8]Liang Du, Yi-Dong Shen, Zhiyong Shen, Jianying Wang, Zhiwu Xu:
A Self-Supervised Framework for Clustering Ensemble. WAIM 2013: 253-264 - [c7]Jun Deng, Liang Du, Yi-Dong Shen:
Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval. WISE (1) 2013: 43-56 - 2012
- [c6]Liang Du, Xuan Li, Yi-Dong Shen:
Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization. ICDM 2012: 201-210 - 2011
- [c5]Liang Du, Xuan Li, Yi-Dong Shen:
Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization. ADMA (1) 2011: 215-228 - [c4]Liang Du, Xuan Li, Yi-Dong Shen:
User Graph Regularized Pairwise Matrix Factorization for Item Recommendation. ADMA (2) 2011: 372-385 - [c3]Xuan Li, Liang Du, Yi-Dong Shen:
Graph-Based Marginal Ranking for Update Summarization. SDM 2011: 486-497 - 2010
- [c2]Xuan Li, Yi-Dong Shen, Liang Du, Chen-Yan Xiong:
Exploiting novelty, coverage and balance for topic-focused multi-document summarization. CIKM 2010: 1765-1768 - [c1]Zhiyong Shen, Liang Du, Xukun Shen, Yi-Dong Shen:
Interval-valued Matrix Factorization with Applications. ICDM 2010: 1037-1042
Coauthor Index
aka: Yi-Dong Shen
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last updated on 2024-06-29 02:24 CEST by the dblp team
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