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Jiye Liang
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Publications
- 2024
- [j191]Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang:
A zero-shot learning boosting framework via concept-constrained clustering. Pattern Recognit. 145: 109937 (2024) - 2023
- [j188]Liang Bai, Minxue Qi, Jiye Liang:
Spectral clustering with robust self-learning constraints. Artif. Intell. 320: 103924 (2023) - [j184]Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang:
High-order graph attention network. Inf. Sci. 630: 222-234 (2023) - [j181]Wentao Cui, Liang Bai, Xian Yang, Jiye Liang:
A new contrastive learning framework for reducing the effect of hard negatives. Knowl. Based Syst. 260: 110121 (2023) - [j178]Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang:
Exploring the role of edge distribution in graph convolutional networks. Neural Networks 168: 459-470 (2023) - [j176]Liang Bai, Jiye Liang, Yunxiao Zhao:
Self-Constrained Spectral Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5126-5138 (2023) - 2022
- [j167]Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang:
Incomplete multi-view clustering via local and global co-regularization. Sci. China Inf. Sci. 65(5): 1-16 (2022) - [j157]Liang Bai, Jiye Liang:
A categorical data clustering framework on graph representation. Pattern Recognit. 128: 108694 (2022) - [j154]Liang Bai, Yunxiao Zhao, Jiye Liang:
Self-supervised spectral clustering with exemplar constraints. Pattern Recognit. 132: 108975 (2022) - [c37]Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai:
Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification. KDD 2022: 2408-2417 - 2021
- [j139]Liang Bai, Jiye Liang, Fuyuan Cao:
Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3247-3258 (2021) - 2020
- [j132]Liang Bai, Jiye Liang, Fuyuan Cao:
A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters. Inf. Fusion 61: 36-47 (2020) - [j126]Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du:
New label propagation algorithm with pairwise constraints. Pattern Recognit. 106: 107411 (2020) - [c33]Liang Bai, Jiye Liang:
A Three-Level Optimization Model for Nonlinearly Separable Clustering. AAAI 2020: 3211-3218 - [c31]Liang Bai, Jiye Liang:
Sparse Subspace Clustering with Entropy-Norm. ICML 2020: 561-568 - 2019
- [j109]Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo:
An Information-Theoretical Framework for Cluster Ensemble. IEEE Trans. Knowl. Data Eng. 31(8): 1464-1477 (2019) - 2018
- [j101]Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo:
A novel community detection algorithm based on simplification of complex networks. Knowl. Based Syst. 143: 58-64 (2018) - [j97]Liang Bai, Jiye Liang, Yike Guo:
An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters. IEEE Trans. Fuzzy Syst. 26(6): 3524-3533 (2018) - 2017
- [j88]Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo:
Fast graph clustering with a new description model for community detection. Inf. Sci. 388: 37-47 (2017) - [j85]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo:
Fast density clustering strategies based on the k-means algorithm. Pattern Recognit. 71: 375-386 (2017) - 2016
- [j77]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen:
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. IEEE Trans. Knowl. Data Eng. 28(11): 2871-2883 (2016) - 2015
- [j75]Liang Bai, Jiye Liang:
Cluster validity functions for categorical data: a solution-space perspective. Data Min. Knowl. Discov. 29(6): 1560-1597 (2015) - 2014
- [j62]Liang Bai, Jiye Liang:
The k-modes type clustering plus between-cluster information for categorical data. Neurocomputing 133: 111-121 (2014) - 2013
- [j54]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A novel fuzzy clustering algorithm with between-cluster information for categorical data. Fuzzy Sets Syst. 215: 55-73 (2013) - [j49]Liang Bai, Jiye Liang, Chao Sui, Chuangyin Dang:
Fast global k-means clustering based on local geometrical information. Inf. Sci. 245: 168-180 (2013) - [j45]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1509-1522 (2013) - 2012
- [j43]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A cluster centers initialization method for clustering categorical data. Expert Syst. Appl. 39(9): 8022-8029 (2012) - [j40]Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang:
A dissimilarity measure for the k-Modes clustering algorithm. Knowl. Based Syst. 26: 120-127 (2012) - [j35]Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao:
The K -Means-Type Algorithms Versus Imbalanced Data Distributions. IEEE Trans. Fuzzy Syst. 20(4): 728-745 (2012) - 2011
- [j33]Liang Bai, Jiye Liang, Chuangyin Dang:
An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data. Knowl. Based Syst. 24(6): 785-795 (2011) - [j31]Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao:
A novel attribute weighting algorithm for clustering high-dimensional categorical data. Pattern Recognit. 44(12): 2843-2861 (2011) - 2010
- [j24]Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang:
A Framework for Clustering Categorical Time-Evolving Data. IEEE Trans. Fuzzy Syst. 18(5): 872-882 (2010) - 2009
- [j21]Fuyuan Cao, Jiye Liang, Liang Bai:
A new initialization method for categorical data clustering. Expert Syst. Appl. 36(7): 10223-10228 (2009)
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last updated on 2024-04-25 01:19 CEST by the dblp team
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