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ORCIDPeng Zhou 0006
Person information
- unicode name: 周芃
- affiliation: Anhui University, School of Computer Science and Technology, Hefei, China
- affiliation (PhD 2017): Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China
Other persons with the same name
- Peng Zhou — disambiguation page
- Peng Zhou 0001 — Tianjin University, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, China
- Peng Zhou 0002
![[0000-0003-4371-6714]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4371-6714")
— Shanghai University, School of Mechatronic Engineering and Automation, China (and 1 more) - Peng Zhou 0003 — University of Electronic Science and Technology of China, Center for Informational Biology, Chengdu, China (and 1 more)
- Peng Zhou 0004 — University of Science and Technology Beijing, Institute of Engineering Technology, China
- Peng Zhou 0005 — Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Peng Zhou 0007 — Tsinghua University, Department of Foreign Languages and Literatures, Beijing, China (and 1 more)
- Peng Zhou 0008 — Hefei University of Technology, China
- Peng Zhou 0009 — University of Maryland, College Park, MD, USA
- Peng Zhou 0010 — Shanghai Jiaotong University, Department of Electrical Engineering, China
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2020 – today
- 2024
[j24]Shaojing Sheng, Zan Zhang, Peng Zhou, Xindong Wu:
An effective algorithm for genealogical graph partitioning. Appl. Intell. 54(2): 1798-1817 (2024)- [j23]Boao Hu, Xu Wang, Peng Zhou, Liang Du:
Multi-view Outlier Detection via Graphs Denoising. Inf. Fusion 101: 102012 (2024) - [j22]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) - [j21]Gui Yang, Jiale Zou, Yan Chen, Liang Du, Peng Zhou:
Heat Kernel Diffusion for Enhanced Late Fusion Multi-View Clustering. IEEE Signal Process. Lett. 31: 2310-2314 (2024) - [j20]Haipeng Yang, Bin Li, Fan Cheng, Peng Zhou, Renzhi Cao, Lei Zhang:
A Node Classification-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks. IEEE Trans. Comput. Soc. Syst. 11(1): 292-306 (2024) - [j19]Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu:
Fair Feature Selection: A Causal Perspective. ACM Trans. Knowl. Discov. Data 18(7): 163 (2024) - [j18]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) - [j17]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) - [j16]Peng Zhou, Bicheng Sun, Xinwang Liu, Liang Du, Xuejun Li:
Active Clustering Ensemble With Self-Paced Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12186-12200 (2024) - [c17]Liang Du, Xiaodong Li, Yan Chen, Gui Yang, Mian Ilyas Ahmad, Peng Zhou:
Higher Order Multiple Graph Filtering for Structured Graph Learning. ICASSP 2024: 7095-7099 - [c16]Liang Du, Yunhui Liang, Mian Ilyas Ahmad, Peng Zhou:
K-Means Clustering Based on Chebyshev Polynomial Graph Filtering. ICASSP 2024: 7175-7179 - 2023
- [j15]Peng Zhou, Xia Wang, Liang Du:
Bi-level ensemble method for unsupervised feature selection. Inf. Fusion 100: 101910 (2023) - [j14]Peng Zhou, Jiangyong Chen, Liang Du, Xuejun Li:
Balanced Spectral Feature Selection. IEEE Trans. Cybern. 53(7): 4232-4244 (2023) - [j13]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) - [j12]Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu:
A Light Causal Feature Selection Approach to High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 35(8): 7639-7650 (2023) - [j11]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) - [c15]Jingwei Wang, Peng Zhou, Xianjun Han, Yanming Chen:
Medical Image Super-Resolution via Diagnosis-Guided Attention. ICME 2023: 462-467 - [c14]Linfan Zha, Yanming Chen, Peng Zhou, Yiwen Zhang:
Intensifying The Consistency of Pseudo Label Refinement for Unsupervised Domain Adaptation Person Re-Identification. ICME 2023: 1547-1552 - [c13]Peng Zhou, Liang Du:
Learnable Graph Filter for Multi-view Clustering. ACM Multimedia 2023: 3089-3098 - 2022
- [j10]Peng Zhou, Xia Wang, Liang Du, Xuejun Li:
Clustering ensemble via structured hypergraph learning. Inf. Fusion 78: 171-179 (2022) - [j9]Bicheng Sun, Peng Zhou, Liang Du, Xuejun Li:
Active deep image clustering. Knowl. Based Syst. 252: 109346 (2022) - [c12]Yuan Yuan, Yanming Chen, Yueqing Jing, Peng Zhou, Yiwen Zhang:
FRATCF: Feature-Residue Real-Time UAV Tracking Based on Automatic Spatio-Temporal Regularization Correlation Filter. ICME 2022: 1-6 - 2021
- [j8]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) - [j7]Xiaoqin Zhang, Mingyu Fan, Di Wang, Peng Zhou, Dacheng Tao:
Top-k Feature Selection Framework Using Robust 0-1 Integer Programming. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3005-3019 (2021) - [c11]Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li:
Tri-level Robust Clustering Ensemble with Multiple Graph Learning. AAAI 2021: 11125-11133 - 2020
- [j6]Liang Du, Xin Ren, Peng Zhou, Zhiguo Hu:
Unsupervised Dual Learning for Feature and Instance Selection. IEEE Access 8: 170248-170260 (2020) - [j5]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) - [j4]Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian:
Unsupervised feature selection with adaptive multiple graph learning. Pattern Recognit. 105: 107375 (2020) - [c10]Peng Zhou, Liang Du, Xuejun Li:
Self-paced Consensus Clustering with Bipartite Graph. IJCAI 2020: 2133-2139
2010 – 2019
- 2019
- [j3]Peng Zhou, Fan Ye, Liang Du:
Unsupervised Robust Multiple Kernel Learning via Extracting Local and Global Noises. IEEE Access 7: 34451-34461 (2019) - [j2]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) - [j1]Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li:
Incremental multi-view spectral clustering. Knowl. Based Syst. 174: 73-86 (2019) - [c9]Zuobin Ying, Shuanglong Cao, Peng Zhou, Shun Zhang, Ximeng Liu:
Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU. ICA3PP (2) 2019: 521-536 - [c8]Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye:
Incremental Multi-view Support Vector Machine. SDM 2019: 1-9 - 2015
- [c7]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 - [c6]Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen:
Experimental Design with Multiple Kernels. ICDM 2015: 419-428 - [c5]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 - [c4]Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen:
Recovery of Corrupted Multiple Kernels for Clustering. IJCAI 2015: 4105-4111 - [c3]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 - [c2]Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen:
An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. SDM 2015: 64-72 - 2013
- [c1]Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou, Yi-Dong Shen:
Local and Global Discriminative Learning for Unsupervised Feature Selection. ICDM 2013: 131-140
Coauthor Index
aka: Yi-Dong Shen
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last updated on 2024-10-10 21:18 CEST by the dblp team
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