Skip to content

Improve readability and add the shcolars item. #4

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 3 commits into
base: master
Choose a base branch
from
Open

Improve readability and add the shcolars item. #4

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
e59a656
Imporve raedability and add scholars item
Guanzhou-Ke Jun 15, 2021
2ddedff
Imporve raedability and add scholars item
Guanzhou-Ke Jun 15, 2021
5a61f83
Added Untitled Diagram.drawio
Nov 3, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
102 changes: 70 additions & 32 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,80 +16,110 @@ We are looking forward for other participants to share their papers and codes. I
- [Benchmark Datasets](#jump3)
- [Oringinal Datasets](#jump31)
- [Kernelized Datasets](#jump32)
- [Scholars](#jump4)

---

## <span id="jump1">Important Survey Papers </span>
1. A survey on multi-view learning [Paper](https://arxiv.org/pdf/1304.5634)
1. Xu, Chang, Dacheng Tao, and Chao Xu. "A survey on multi-view learning" (2013) cited by: 897 [[Paper]](https://arxiv.org/pdf/1304.5634)
2. Wang, Hao, et al. "A study of graph-based system for multi-view clustering" (2019) cited by: 102 [[Paper]](https://www.researchgate.net/profile/Hao_Wang250/publication/328573967_A_study_of_graph-based_system_for_multi-view_clustering/links/5cbff7e5299bf120977adaa6/A-study-of-graph-based-system-for-multi-view-clustering.pdf) [[code]](https://github.com/cswanghao/gbs)
3. Yang, Yan, and Hao Wang. "Multi-view clustering: A survey" (2018) cited by: 117 [[Paper]](https://ieeexplore.ieee.org/iel7/8254253/8336843/08336846.pdf)
4. Zhao, Jing, et al. "Multi-view learning overview: Recent progress and new challenges" (2017) cited by: 419 [[Paper]](https://www.researchgate.net/profile/Shiliang_Sun2/publication/314251895_Multi-view_Learning_Overview_Recent_Progress_and_New_Challenges/links/5def9d8f92851c836470978c/Multi-view-Learning-Overview-Recent-Progress-and-New-Challenges.pdf)

1. A study of graph-based system for multi-view clustering [Paper](https://www.researchgate.net/profile/Hao_Wang250/publication/328573967_A_study_of_graph-based_system_for_multi-view_clustering/links/5cbff7e5299bf120977adaa6/A-study-of-graph-based-system-for-multi-view-clustering.pdf) [code](https://github.com/cswanghao/gbs)

1. Multi-view clustering: A survey [Paper](https://ieeexplore.ieee.org/iel7/8254253/8336843/08336846.pdf)

1. Multi-view learning overview: Recent progress and new challenges [Paper](https://www.researchgate.net/profile/Shiliang_Sun2/publication/314251895_Multi-view_Learning_Overview_Recent_Progress_and_New_Challenges/links/5def9d8f92851c836470978c/Multi-view-Learning-Overview-Recent-Progress-and-New-Challenges.pdf)
**Note:** The number of citation was calculated by Google Scholar until 15th June. 2021.

---

## <span id="jump2">Papers </span>
Papers are listed in the following methods:graph clustering, NMF-based clustering, co-regularized, subspace clustering and multi-kernel clustering

### <span id="jump21">Graph Clusteirng</span>
1. AAAI15: Large-Scale Multi-View Spectral Clustering via Bipartite Graph [Paper](https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/download/9641/9937) [code](https://github.com/zzz123xyz/MVSC)

1. IJCAI17: Self-Weighted Multiview Clustering with Multiple Graphs" [Paper](https://www.ijcai.org/Proceedings/2017/0357.pdf) [code](https://github.com/kylejingli/SwMC-IJCAI17)
- AAAI15:
1. Li, Yeqing, et al. "Large-Scale Multi-View Spectral Clustering via Bipartite Graph" [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/download/9641/9937) [[code]](https://github.com/zzz123xyz/MVSC)

- IJCAI17:
1. Nie, Feiping, Jing Li, and Xuelong Li. "Self-Weighted Multiview Clustering with Multiple Graphs" [[Paper]](https://www.ijcai.org/Proceedings/2017/0357.pdf) [[code]](https://github.com/kylejingli/SwMC-IJCAI17)

1. TKDE2018： One-step multi-view spectral clustering [Paper](https://ieeexplore.ieee.org/abstract/document/8478288/) [code](https://pan.baidu.com/s/1eFiB87O0LBkJS8ZRSybNfQ)
- TKDE2018：
1. Zhu, Xiaofeng, et al. "One-step multi-view spectral clustering" [[Paper]](https://ieeexplore.ieee.org/abstract/document/8478288/) [[code]](https://pan.baidu.com/s/1eFiB87O0LBkJS8ZRSybNfQ)

1. TKDE19: GMC: Graph-based Multi-view Clustering [Paper](https://ieeexplore.ieee.org/abstract/document/8662703) [code](https://github.com/cshaowang/gmc)
- TKDE19:
1. Wang, Hao, Yan Yang, and Bing Liu. "GMC: Graph-based Multi-view Clustering" [[Paper]](https://ieeexplore.ieee.org/abstract/document/8662703) [[code]](https://github.com/cshaowang/gmc)

1. ICDM2019: Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering [Paper](https://www.researchgate.net/profile/Dong_Huang9/publication/335857675_Consistency_Meets_Inconsistency_A_Unified_Graph_Learning_Framework_for_Multi-view_Clustering/links/5d809ca7458515fca16e3776/Consistency-Meets-Inconsistency-A-Unified-Graph-Learning-Framework-for-Multi-view-Clustering.pdf) [code](https://github.com/youweiliang/ConsistentGraphLearning)
- ICDM2019:
1. Liang, Youwei, Dong Huang, and Chang-Dong Wang. "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering" [[Paper]](https://www.researchgate.net/profile/Dong_Huang9/publication/335857675_Consistency_Meets_Inconsistency_A_Unified_Graph_Learning_Framework_for_Multi-view_Clustering/links/5d809ca7458515fca16e3776/Consistency-Meets-Inconsistency-A-Unified-Graph-Learning-Framework-for-Multi-view-Clustering.pdf) [[code]](https://github.com/youweiliang/ConsistentGraphLearning)


### <span id="jump22">Multiple Kenrel Clustering(MKC)</span>
1. NIPS14: Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology [Paper](https://papers.nips.cc/paper/5236-localized-data-fusion-for-kernel-k-means-clustering-with-application-to-cancer-biology.pdf) [code](https://github.com/mehmetgonen/lmkkmeans)
- NIPS14:
1. Gönen, Mehmet, and Adam A. Margolin. "Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology" [[Paper]](https://papers.nips.cc/paper/5236-localized-data-fusion-for-kernel-k-means-clustering-with-application-to-cancer-biology.pdf) [[code]](https://github.com/mehmetgonen/lmkkmeans)

1. IJCAI15： Robust Multiple Kernel K-means using L21-norm [Paper](https://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/download/11332/11224) [code](https://github.com/csliangdu/RMKKM)
- IJCAI15：
1. Du, Liang, et al. "Robust Multiple Kernel K-means using L21-norm" [[Paper]](https://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/download/11332/11224) [[code]](https://github.com/csliangdu/RMKKM)

1. AAAI16：Multiple Kernel k-Means Clustering with Matrix-Induced Regularization [Paper](https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/viewPDFInterstitial/12115/11819) [code](https://github.com/wangsiwei2010/Multiple-Kernel-k-Means-Clustering-with-Matrix-Induced-Regularization)
- AAAI16：
1. Liu, Xinwang, et al. "Multiple Kernel k-Means Clustering with Matrix-Induced Regularization" [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/viewPDFInterstitial/12115/11819) [[code]](https://github.com/wangsiwei2010/Multiple-Kernel-k-Means-Clustering-with-Matrix-Induced-Regularization)

1. IJCAI19: Multi-view Clustering with Late Fusion Alignment Maximization [Paper](https://www.ijcai.org/proceedings/2019/0524.pdf) [code](https://github.com/wangsiwei2010/latefusionalignment)
- IJCAI19:
1. Wang, Siwei, et al. "Multi-view Clustering with Late Fusion Alignment Maximization" [[Paper]](https://www.ijcai.org/proceedings/2019/0524.pdf) [[code]](https://github.com/wangsiwei2010/latefusionalignment)

1. TNNLS2019: Multiple kernel clustering with neighbor-kernel subspace segmentation [Paper](https://ieeexplore.ieee.org/document/8750871) [code](https://github.com/SihangZhou/Demo-of-Multiple-Kernel-Clustering-with-Neighbor-Kernel-Subspace-Segmentation)
- TNNLS2019:
1. Zhou, Sihang, et al. "Multiple kernel clustering with neighbor-kernel subspace segmentation" [[Paper]](https://ieeexplore.ieee.org/document/8750871) [[code]](https://github.com/SihangZhou/Demo-of-Multiple-Kernel-Clustering-with-Neighbor-Kernel-Subspace-Segmentation)

### <span id="jump23">Subspace Clustering</span>
1. CVPR2015 Diversity-induced Multi-view Subspace Clustering [Paper](https://www.zpascal.net/cvpr2015/Cao_Diversity-Induced_Multi-View_Subspace_2015_CVPR_paper.pdf) [code](http://cic.tju.edu.cn/faculty/zhangchangqing/code/DiMSC.rar)
- CVPR2015:
1. Cao, Xiaochun, et al. "Diversity-induced Multi-view Subspace Clustering" [[Paper]](https://www.zpascal.net/cvpr2015/Cao_Diversity-Induced_Multi-View_Subspace_2015_CVPR_paper.pdf) [[code]](http://cic.tju.edu.cn/faculty/zhangchangqing/code/DiMSC.rar)

1. CVPR2017 Latent Multi-view Subspace Clustering [Paper](http://cic.tju.edu.cn/faculty/zhangchangqing/pub/Zhang_Latent_Multi-View_Subspace_CVPR_2017_paper.pdf) [code](http://cic.tju.edu.cn/faculty/zhangchangqing/code/LMSC_CVPR2017_Zhang.rar)
- CVPR2017:
1. Zhang, Changqing, et al. "Latent Multi-view Subspace Clustering" [[Paper]](http://cic.tju.edu.cn/faculty/zhangchangqing/pub/Zhang_Latent_Multi-View_Subspace_CVPR_2017_paper.pdf) [[code]](http://cic.tju.edu.cn/faculty/zhangchangqing/code/LMSC_CVPR2017_Zhang.rar)

1. AAAI2018 Consistent and Specific Multi-view Subspace Clustering [Paper](https://github.com/XIAOCHUN-CAS/Academic-Publications/blob/master/Conference/2018_AAAI_Luo.pdf) [code](https://github.com/XIAOCHUN-CAS/Consistent-and-Specific-Multi-View-Subspace-Clustering)
- AAAI2018:
1. Luo, Shirui, et al. "Consistent and Specific Multi-view Subspace Clustering" [[Paper]](https://github.com/XIAOCHUN-CAS/Academic-Publications/blob/master/Conference/2018_AAAI_Luo.pdf) [[code]](https://github.com/XIAOCHUN-CAS/Consistent-and-Specific-Multi-View-Subspace-Clustering)

1. PR2018: Multi-view Low-rank Sparse Subspace Clustering [Paper](https://arxiv.org/abs/1708.08732) [code](https://github.com/wangsiwei2010/Multi-view-LRSSC)
- PR2018:
1. Brbić, Maria, and Ivica Kopriva. "Multi-view Low-rank Sparse Subspace Clustering" [[Paper]](https://arxiv.org/abs/1708.08732) [[code]](https://github.com/wangsiwei2010/Multi-view-LRSSC)

1. TIP2019: Split Multiplicative Multi-view Subspace Clustering [Paper](https://www.researchgate.net/publication/333007034_Split_Multiplicative_Multi-view_Subspace_Clustering) [code](https://github.com/joshuaas/SM2SC)
- TIP2019:
1. Yang, Zhiyong, et al. "Split Multiplicative Multi-view Subspace Clustering" [[Paper]](https://www.researchgate.net/publication/333007034_Split_Multiplicative_Multi-view_Subspace_Clustering) [[code]](https://github.com/joshuaas/SM2SC)

1. IJCAI19: Flexible multi-view representation learning for subspace clustering [Paper](https://www.ijcai.org/Proceedings/2019/0404.pdf) [code](https://github.com/lslrh/FMR)
- IJCAI19:
1. Li, Ruihuang, et al. "Flexible multi-view representation learning for subspace clustering" [[Paper]](https://www.ijcai.org/Proceedings/2019/0404.pdf) [[code]](https://github.com/lslrh/FMR)

1. ICCV19: Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering [Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Reciprocal_Multi-Layer_Subspace_Learning_for_Multi-View_Clustering_ICCV_2019_paper.pdf) [code](https://github.com/lslrh/RMSL)
- ICCV19:
1. Li, Ruihuang, et al. "Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering" [[Paper]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Reciprocal_Multi-Layer_Subspace_Learning_for_Multi-View_Clustering_ICCV_2019_paper.pdf) [[code]](https://github.com/lslrh/RMSL)


### <span id="jump24">Deep Multi-view Clustering</span>
1. CVPR2019: AE^2-Nets: Autoencoder in Autoencoder Networks [Paper](http://cic.tju.edu.cn/faculty/zhangchangqing/pub/AE2_Nets.pdf) [code](https://github.com/willow617/AE2-Nets)
2. TIP2019: Multi-view Deep Subspace Clustering Networks [Paper](https://arxiv.org/abs/1908.01978) [code](https://github.com/huybery/MvDSCN)
3. TKDE2020: Joint Deep Multi-View Learning for Image Clustering [Paper](https://ieeexplore.ieee.org/abstract/document/8999493/)
4. ICML2019: COMIC: Multi-view Clustering Without Parameter Selection [paper](http://proceedings.mlr.press/v97/peng19a/peng19a.pdf) [code](https://github.com/limit-scu/2019-ICML-COMIC)
5. IJCAI2019: Multi-view Spectral Clustering Network [paper](https://www.ijcai.org/Proceedings/2019/0356.pdf) [code](https://github.com/limit-scu/2019-IJCAI-MvSCN)
6. IJCAI2019: Deep Adversarial Multi-view Clustering Network [paper](https://www.ijcai.org/Proceedings/2019/0409.pdf) [code](https://github.com/IMKBLE/DAMC)
- CVPR2019:
1. Zhang, Changqing, Yeqing Liu, and Huazhu Fu. "AE^2-Nets: Autoencoder in Autoencoder Networks" [[Paper]](http://cic.tju.edu.cn/faculty/zhangchangqing/pub/AE2_Nets.pdf) [[code]](https://github.com/willow617/AE2-Nets)

- TIP2019:
1. Zhu, Pengfei, et al. "Multi-view Deep Subspace Clustering Networks" [[Paper]](https://arxiv.org/abs/1908.01978) [[code]](https://github.com/huybery/MvDSCN)

- ICML2019:
1. Peng, Xi, et al. "COMIC: Multi-view Clustering Without Parameter Selection" [[paper]](http://proceedings.mlr.press/v97/peng19a/peng19a.pdf) [[code]](https://github.com/limit-scu/2019-ICML-COMIC)

- IJCAI2019:
1. Huang, Zhenyu, et al. "Multi-view Spectral Clustering Network" [[paper]](https://www.ijcai.org/Proceedings/2019/0356.pdf) [[code]](https://github.com/limit-scu/2019-IJCAI-MvSCN)
2. Li, Zhaoyang, et al. "Deep Adversarial Multi-view Clustering Network" [[paper]](https://www.ijcai.org/Proceedings/2019/0409.pdf) [[code]](https://github.com/IMKBLE/DAMC)

- TKDE2020:
1. Xie, Yuan, et al. "Joint Deep Multi-View Learning for Image Clustering" [[Paper]](https://ieeexplore.ieee.org/abstract/document/8999493/)

### <span id="jump25">Binary Multi-view Clustering</span>
1. TPAMI2019: Binary Multi-View Clustering [Paper](http://cfm.uestc.edu.cn/~fshen/TPAMI-BMVC_Final.pdf) [code](https://github.com/DarrenZZhang/BMVC)
- TPAMI2019:
1. Zhang, Zheng, et al. "Binary Multi-View Clustering" [[Paper]](http://cfm.uestc.edu.cn/~fshen/TPAMI-BMVC_Final.pdf) [[code]](https://github.com/DarrenZZhang/BMVC)


### <span id="jump26">NMF-based Multi-view Clustering</span>
1. AAAI20: Multi-view Clustering in Latent Embedding Space [Paper](https://www.researchgate.net/profile/Dong_Huang9/publication/338883065_Multi-view_Clustering_in_Latent_Embedding_Space/links/5e30e4ee458515072d6ab048/Multi-view-Clustering-in-Latent-Embedding-Space.pdf?_sg%5B0%5D=c7_LGDqrWNZ_2R_YVqZW5paGs4aiAWHyL5Vm6D9xC-qLrwZgnT5PnHd5qcLIWLjUU1w1sMRvcFieskwMXfiUxA.C7MpmX3wox2zTGV_rHjWvJVYUcWBn5cx271Yud84FlPQiu_W8azOItQWDVbvUiM3bw4kxI_zLS8mGKTKMl5f3w&_sg%5B1%5D=Ug4z3sxpjLL5fvIFDmpbr9hht6CQIYTxXEPWuPHRJZvOOuGvEI2QyxzM8WX0M3c0SkQeyoVq3fnE9kyqH5TWHTslmLrQDWSN3t6xvMVZkLTi.C7MpmX3wox2zTGV_rHjWvJVYUcWBn5cx271Yud84FlPQiu_W8azOItQWDVbvUiM3bw4kxI_zLS8mGKTKMl5f3w&_iepl=) [code](https://github.com/Ttuo123/MCLES)
- AAAI20:
1. Chen, Man-Sheng, et al. "Multi-view Clustering in Latent Embedding Space" [[Paper]](https://www.researchgate.net/profile/Dong_Huang9/publication/338883065_Multi-view_Clustering_in_Latent_Embedding_Space/links/5e30e4ee458515072d6ab048/Multi-view-Clustering-in-Latent-Embedding-Space.pdf?_sg%5B0%5D=c7_LGDqrWNZ_2R_YVqZW5paGs4aiAWHyL5Vm6D9xC-qLrwZgnT5PnHd5qcLIWLjUU1w1sMRvcFieskwMXfiUxA.C7MpmX3wox2zTGV_rHjWvJVYUcWBn5cx271Yud84FlPQiu_W8azOItQWDVbvUiM3bw4kxI_zLS8mGKTKMl5f3w&_sg%5B1%5D=Ug4z3sxpjLL5fvIFDmpbr9hht6CQIYTxXEPWuPHRJZvOOuGvEI2QyxzM8WX0M3c0SkQeyoVq3fnE9kyqH5TWHTslmLrQDWSN3t6xvMVZkLTi.C7MpmX3wox2zTGV_rHjWvJVYUcWBn5cx271Yud84FlPQiu_W8azOItQWDVbvUiM3bw4kxI_zLS8mGKTKMl5f3w&_iepl=) [[code]](https://github.com/Ttuo123/MCLES)


### <span id="jump27"> Ensemble-based Multi-view Clustering</span>
1. TNNLS2019: Marginalized Multiview Ensemble Clustering [Paper](https://ieeexplore.ieee.org/document/8691702) [code](https://pan.baidu.com/s/1ipfGlQKcBTQn71yP3ZbISQ)
- TNNLS2019:
1. Tao, Zhiqiang, et al. "Marginalized Multiview Ensemble Clustering" [[Paper]](https://ieeexplore.ieee.org/document/8691702) [[code]](https://pan.baidu.com/s/1ipfGlQKcBTQn71yP3ZbISQ)



Expand Down Expand Up @@ -134,3 +164,11 @@ If you use our code or datasets, please cite our with the following bibtex code
}
```

---

## <span id="jump2">Scholars </span>

- [Feiping Nie](https://sites.google.com/site/feipingnie/publications), from Tsinghua University, cited by 22874
- [Xinwang Liu](https://xinwangliu.github.io/), from National University of Defense Technology (NUDT), cited by 4133.
- [Changqing Zhang](http://cic.tju.edu.cn/faculty/zhangchangqing/research.html), from Tianjin University, cited by 3096.
- [Xi Peng](http://pengxi.me/), from Sichuan Univeristy (SCU), cited by 2460.
1 change: 1 addition & 0 deletions Untitled Diagram.drawio
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
<mxfile host="app.diagrams.net" modified="2022-11-03T09:22:40.170Z" agent="5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36" version="16.5.3" etag="_47et6sOlD0nK6YZpz8I" type="github"><diagram id="lk_NGGHi1X5pAfk0pnEh">UzV2zq1wL0osyPDNT0nNUTV2VTV2LsrPL4GwciucU3NyVI0MMlNUjV1UjYwMgFjVyA2HrCFY1qAgsSg1rwSLBiADYTaQg2Y1AA==</diagram></mxfile>