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2020 – today
- 2021
[c5]Liang Du, Kang Yang, Yunhui Liang, Xiaolin Lv:
Direct Alignment Maximization for Clustering Ensemble. ICMLSC 2021: 38-43- [c4]Xiaolin Lv, Liang Du:
Graph-based Kullback-Leibler Divergence Minimization for Unsupervised Feature Selection. ICMLSC 2021: 109-114 - 2020
- [c3]Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv:
Manifold Adaptive Multiple Kernel K-Means for Clustering. ACAI 2020: 16:1-16:7 - [i1]Liang Du, Haiying Zhang, Xin Ren, Xiaolin Lv:
Manifold Adaptive Multiple Kernel K-Means for Clustering. CoRR abs/2009.14389 (2020)
2010 – 2019
- 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) - [c2]Liang Du, Xiaolin Lv:
Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection. ICDM Workshops 2019: 615-619 - 2018
- [j1]Lijuan Guo, Xiaolin Lv:
线性拓扑结构的乐观认证邮件 (Optimistic Certified Email for Line Topology). 计算机科学 45(8): 156-159 (2018) - 2017
- [c1]Lijuan Guo, Xuelian Li, Xiaolin Lv, Juntao Gao:
Anonymous Fair Exchange Protocol with a Semitrusted Third Party. DSC 2017: 431-440
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