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2020 – today
- 2023
[j79]Xiaosha Cai, Dong Huang
, Guang-Yu Zhang, Chang-Dong Wang:
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering. Inf. Fusion 91: 364-375 (2023)- [j78]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Facilitated low-rank multi-view subspace clustering. Knowl. Based Syst. 260: 110141 (2023) - [i31]Xiaozhi Deng, Dong Huang, Chang-Dong Wang:
Heterogeneous Tri-stream Clustering Network. CoRR abs/2301.04451 (2023) - 2022
- [j77]Guang-Yu Zhang, Xiao-Wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiao-Yu He:
Kernelized multi-view subspace clustering via auto-weighted graph learning. Appl. Intell. 52(1): 716-731 (2022) - [j76]Mansheng Chen, Jia-Qi Lin, Xiang-Long Li, Bao-Yu Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Representation Learning in Multi-view Clustering: A Literature Review. Data Sci. Eng. 7(3): 225-241 (2022) - [j75]Ling Huang, Yong Tang, Chengzhou Fu, Jinfeng Wang, Chang-Dong Wang:
GHOC: A generative model for hybrid-order community detection. Int. J. Intell. Syst. 37(11): 9055-9079 (2022) - [j74]Guangqiang Xie, Haoran Xu, Yang Li, Xianbiao Hu, Chang-Dong Wang:
Fast distributed consensus seeking in large-scale and high-density multi-agent systems with connectivity maintenance. Inf. Sci. 608: 1010-1028 (2022) - [j73]Jing Wen, Xi-Ran Zhu, Chang-Dong Wang, Zhihong Tian:
A framework for personalized recommendation with conditional generative adversarial networks. Knowl. Inf. Syst. 64(10): 2637-2660 (2022) - [j72]Ling Huang, Bi-Yi Chen, Hai-Yi Ye, Ronghua Lin, Yong Tang, Min Fu, Jianyi Huang, Chang-Dong Wang:
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation. Knowl. Based Syst. 243: 108463 (2022) - [j71]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jianhuang Lai, Guangqiang Xie, Yang Li:
A Model-Bias Matrix Factorization Approach for Course Score Prediction. Neural Process. Lett. 54(5): 3583-3600 (2022) - [j70]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. IEEE Trans. Cybern. 52(6): 5229-5241 (2022) - [j69]Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu:
Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Trans. Cybern. 52(7): 5908-5922 (2022) - [j68]Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu:
Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. 52(8): 7655-7668 (2022) - [j67]Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee Keong Kwoh:
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond. IEEE Trans. Cybern. 52(11): 12231-12244 (2022) - [j66]Jianbin Xiong, Chunlin Li, Chang-Dong Wang, Jian Cen, Qi Wang, Shuize Wang:
Application of Convolutional Neural Network and Data Preprocessing by Mutual Dimensionless and Similar Gram Matrix in Fault Diagnosis. IEEE Trans. Ind. Informatics 18(2): 1061-1071 (2022) - [j65]Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation. IEEE Trans. Ind. Informatics 18(3): 1458-1467 (2022) - [j64]Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai:
A BP Neural Network Based Recommender Framework With Attention Mechanism. IEEE Trans. Knowl. Data Eng. 34(7): 3029-3043 (2022) - [j63]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multi-View Consensus Proximity Learning for Clustering. IEEE Trans. Knowl. Data Eng. 34(7): 3405-3417 (2022) - [j62]Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jian-Huang Lai:
Deep Rating and Review Neural Network for Item Recommendation. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6726-6736 (2022) - [j61]Chang-Dong Wang, Yan-Hui Chen, Wu-Dong Xi, Ling Huang, Guangqiang Xie:
Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6983-6997 (2022) - [c82]Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang:
D-TRACE: Deep Triply-Aligned Clustering. ICANN (1) 2022: 526-537 - [c81]Zhe-Rui Yang, Zhen-Yu He, Chang-Dong Wang, Pei-Yuan Lai, De-Zhang Liao, Zhong-Zheng Wang:
A Bi-directional Recommender System for Online Recruitment. ICDM 2022: 628-637 - [c80]Mansheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu:
Efficient Orthogonal Multi-view Subspace Clustering. KDD 2022: 127-135 - [c79]Mansheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Adaptively-weighted Integral Space for Fast Multiview Clustering. ACM Multimedia 2022: 3774-3782 - [c78]Mansheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering. PRCV (2) 2022: 601-613 - [i30]Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
G3SR: Global Graph Guided Session-based Recommendation. CoRR abs/2203.06467 (2022) - [i29]Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang:
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering. CoRR abs/2203.08060 (2022) - [i28]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity. CoRR abs/2203.11572 (2022) - [i27]Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang:
Joint Multi-view Unsupervised Feature Selection and Graph Learning. CoRR abs/2204.08247 (2022) - [i26]Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang, C. L. Philip Chen:
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. CoRR abs/2204.11602 (2022) - [i25]Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai:
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks. CoRR abs/2206.00359 (2022) - [i24]Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Strongly Augmented Contrastive Clustering. CoRR abs/2206.00380 (2022) - [i23]Zhilin Zhao, Longbing Cao, Chang-Dong Wang:
Gray Learning from Non-IID Data with Out-of-distribution Samples. CoRR abs/2206.09375 (2022) - [i22]Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen:
Multi-party Secure Broad Learning System for Privacy Preserving. CoRR abs/2206.11133 (2022) - [i21]Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Vision Transformer for Contrastive Clustering. CoRR abs/2206.12925 (2022) - [i20]Yuanku Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks. CoRR abs/2207.07173 (2022) - [i19]Mansheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Adaptively-weighted Integral Space for Fast Multiview Clustering. CoRR abs/2208.12808 (2022) - [i18]Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang:
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning. CoRR abs/2209.04187 (2022) - [i17]Jia-Qi Lin, Mansheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang:
Dual Information Enhanced Multi-view Attributed Graph Clustering. CoRR abs/2211.14987 (2022) - [i16]Ying Zhong, Dong Huang, Chang-Dong Wang:
Deep Temporal Contrastive Clustering. CoRR abs/2212.14366 (2022) - 2021
- [j60]Guang-Yu Zhang, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiaoyu He:
Joint representation learning for multi-view subspace clustering. Expert Syst. Appl. 166: 113913 (2021) - [j59]Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Relaxed multi-view clustering in latent embedding space. Inf. Fusion 68: 8-21 (2021) - [j58]Ling Huang, Chang-Dong Wang, Hongyang Chao:
oComm: Overlapping Community Detection in Multi-View Brain Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1582-1595 (2021) - [j57]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Suohai Fan, Philip S. Yu:
Adaptively Weighted Multiview Proximity Learning for Clustering. IEEE Trans. Cybern. 51(3): 1571-1585 (2021) - [j56]Guangqiang Xie, Runpeng Zhang, Yang Li, Ling Huang, Chang-Dong Wang, Hao Yang, Jiahao Liang:
AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data. IEEE Trans. Ind. Informatics 17(3): 1679-1688 (2021) - [j55]Ling Huang, Xing-Xing Liu, Shu-Qiang Huang, Chang-Dong Wang, Wei Tu, Jia-Meng Xie, Shuai Tang, Wendi Xie:
Temporal Hierarchical Graph Attention Network for Traffic Prediction. ACM Trans. Intell. Syst. Technol. 12(6): 68:1-68:21 (2021) - [j54]Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen:
Attributed Network Embedding with Micro-Meso Structure. ACM Trans. Knowl. Discov. Data 15(4): 72:1-72:26 (2021) - [j53]Ling Huang, Chang-Dong Wang, Hongyang Chao:
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection. IEEE Trans. Knowl. Data Eng. 33(6): 2520-2533 (2021) - [j52]Chang-Dong Wang, Mansheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu:
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5047-5060 (2021) - [j51]Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh:
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 508-520 (2021) - [j50]Xiuchun Xiao, Neal N. Xiong, Jianhuang Lai, Chang-Dong Wang, Zhenan Sun, Jingwen Yan:
A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3412-3428 (2021) - [c77]Xunxun Wu, Chang-Dong Wang, Pengfei Jiao:
Hybrid-order Stochastic Block Model. AAAI 2021: 4470-4477 - [c76]Guang-Yu Zhang, Xiao-Wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang:
Consistency- and Inconsistency-Aware Multi-view Subspace Clustering. DASFAA (2) 2021: 291-306 - [c75]Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian:
PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks. ICDM 2021: 729-738 - [c74]Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye:
StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. ICDM 2021: 1198-1203 - [c73]Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang:
Attention-based Multi-proximity Preserved Attributed Network Embedding. IJCNN 2021: 1-8 - [c72]Lei Xu, Wu-Dong Xi, Chang-Dong Wang:
Session-based Recommendation with Heterogeneous Graph Neural Networks. IJCNN 2021: 1-8 - [i15]Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism. CoRR abs/2103.06105 (2021) - 2020
- [j49]Guang-Yu Zhang, Yu-Ren Zhou, Xiaoyu He, Chang-Dong Wang, Dong Huang:
One-step Kernel Multi-view Subspace Clustering. Knowl. Based Syst. 189 (2020) - [j48]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Community Detection by Motif-Aware Label Propagation. ACM Trans. Knowl. Discov. Data 14(2): 22:1-22:19 (2020) - [j47]Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 32(6): 1212-1226 (2020) - [j46]Ling Huang, Chang-Dong Wang, Hongyang Chao, Philip S. Yu:
MVStream: Multiview Data Stream Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3482-3496 (2020) - [c71]Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-View Clustering in Latent Embedding Space. AAAI 2020: 3513-3520 - [c70]Heng-Ping He, Pei-Zhen Li, Ling Huang, Yu-Xuan Ji, Chang-Dong Wang:
Latent Space Clustering via Dual Discriminator GAN. DASFAA (1) 2020: 671-679 - [c69]Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang:
Graph Pooling with Representativeness. ICDM 2020: 302-311 - [c68]Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh:
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. PAKDD (1) 2020: 330-342 - [e1]Xiaochun Yang, Chang-Dong Wang, Md. Saiful Islam, Zheng Zhang:
Advanced Data Mining and Applications - 16th International Conference, ADMA 2020, Foshan, China, November 12-14, 2020, Proceedings. Lecture Notes in Computer Science 12447, Springer 2020, ISBN 978-3-030-65389-7 [contents] - [i14]Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu:
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency. CoRR abs/2008.10208 (2020)
2010 – 2019
- 2019
- [j45]Ling Huang, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai, Philip S. Yu:
A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering. IEEE Access 7: 19550-19563 (2019) - [j44]Wei Shi, Ling Huang, Chang-Dong Wang, Juan-Hui Li, Yong Tang, Chengzhou Fu:
Network Embedding via Community Based Variational Autoencoder. IEEE Access 7: 25323-25333 (2019) - [j43]Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
PartNRL: Partial Nodes Representation Learning in Large-Scale Network. IEEE Access 7: 56457-56468 (2019) - [j42]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Yong Tang, Chengzhou Fu:
Inter-Intra Information Preserving Attributed Network Embedding. IEEE Access 7: 79463-79476 (2019) - [j41]Guangqiang Xie, Tianxiang Lan, Xianbiao Hu, Yang Li, Chang-Dong Wang, Yuyu Yin:
A Distributed Consensus Protocol Based on Neighbor Selection Strategies for Multi-Agent Systems Convergence. IEEE Access 7: 132937-132949 (2019) - [j40]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
SDDRS: Stacked Discriminative Denoising Auto-Encoder based Recommender System. Cogn. Syst. Res. 55: 164-174 (2019) - [j39]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Chuan Li, Jian-Huang Lai:
Brain network analysis for auditory disease: A twofold study. Neurocomputing 347: 230-239 (2019) - [j38]Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao:
LSCD: Low-rank and sparse cross-domain recommendation. Neurocomputing 366: 86-96 (2019) - [j37]Yi-Ming Wen, Ling Huang, Chang-Dong Wang, Kun-Yu Lin:
Direction recovery in undirected social networks based on community structure and popularity. Inf. Sci. 473: 31-43 (2019) - [j36]Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Community detection using multilayer edge mixture model. Knowl. Inf. Syst. 60(2): 757-779 (2019) - [j35]Qi-Ying Hu, Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Item orientated recommendation by multi-view intact space learning with overlapping. Knowl. Based Syst. 164: 358-370 (2019) - [j34]Fan Deng, Liyong Zhang, Changyu Zhang, Hao Ban, Chang-Dong Wang, Minghao Shi, Chao Chen, Enti Zhang:
Establishment of rule dictionary for efficient XACML policy management. Knowl. Based Syst. 175: 26-35 (2019) - [j33]Dong Huang, Xiaosha Cai, Chang-Dong Wang:
Unsupervised feature selection with multi-subspace randomization and collaboration. Knowl. Based Syst. 182 (2019) - [j32]Zhi-Ran Sun, Yue-Xin Cai, Shao-Ju Wang, Chang-Dong Wang, Yi-Qing Zheng, Yan-Hong Chen, Yu-Chen Chen:
Multi-View Intact Space Learning for Tinnitus Classification in Resting State EEG. Neural Process. Lett. 49(2): 611-624 (2019) - [j31]Pei-Zhen Li, Yue-Xin Cai, Chang-Dong Wang, Mao-Jin Liang, Yi-Qing Zheng:
Higher-Order Brain Network Analysis for Auditory Disease. Neural Process. Lett. 49(3): 879-897 (2019) - [j30]Ling Huang, Hong-Yang Chao, Chang-Dong Wang:
Multi-view intact space clustering. Pattern Recognit. 86: 344-353 (2019) - [j29]Chang-Dong Wang, Zhi-Hong Deng, Jian-Huang Lai, Philip S. Yu:
Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering. IEEE Trans. Cybern. 49(7): 2678-2692 (2019) - [c67]Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. AAAI 2019: 61-68 - [c66]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Higher-Order Multi-Layer Community Detection. AAAI 2019: 9945-9946 - [c65]Zi-Hua Li, Ling Huang, Kai Wang, Chang-Dong Wang, Wei Shi, Dong Huang:
Network embedding with class discriminability. ACM TUR-C 2019: 52:1-52:5 - [c64]He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang:
Generative Dual Adversarial Network for Generalized Zero-Shot Learning. CVPR 2019: 801-810 - [c63]Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. DASFAA (1) 2019: 175-190 - [c62]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang:
Relevance-Based Entity Embedding. DASFAA (3) 2019: 300-304 - [c61]Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin:
Multi-view Outlier Detection in Deep Intact Space. ICDM 2019: 1132-1137 - [c60]Youwei Liang, Dong Huang, Chang-Dong Wang:
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. ICDM 2019: 1204-1209 - [c59]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Constrained Matrix Factorization for Course Score Prediction. ICDM 2019: 1510-1515 - [c58]Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai:
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. IJCAI 2019: 3905-3911 - [c57]Yongwei Tan, Ling Huang, Chang-Dong Wang:
A Dynamic Model + BFR Algorithm for Streaming Data Sorting. IScIDE (2) 2019: 406-417 - [c56]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. KDD 2019: 479-487 - [i13]Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. CoRR abs/1901.04704 (2019) - [i12]Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. CoRR abs/1903.01057 (2019) - [i11]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. CoRR abs/1906.04560 (2019) - 2018
- [j28]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Community Detection Using Attribute Homogenous Motif. IEEE Access 6: 47707-47716 (2018) - [j27]Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng, Yu-Ren Zhou:
TW-Co-k-means: Two-level weighted collaborative k-means for multi-view clustering. Knowl. Based Syst. 150: 127-138 (2018) - [j26]Yikun Qin, Zhu Liang Yu, Chang-Dong Wang, Zhenghui Gu, Yuanqing Li:
A Novel clustering method based on hybrid K-nearest-neighbor graph. Pattern Recognit. 74: 1-14 (2018) - [j25]Juan-Hui Li, Chang-Dong Wang, Pei-Zhen Li, Jian-Huang Lai:
Discriminative metric learning for multi-view graph partitioning. Pattern Recognit. 75: 199-213 (2018) - [j24]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Locally Weighted Ensemble Clustering. IEEE Trans. Cybern. 48(5): 1460-1473 (2018) - [c55]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Overlapping Community Detection in Multi-view Brain Network. BIBM 2018: 655-658 - [c54]Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen:
Attributed Network Embedding with Micro-meso Structure. DASFAA (1) 2018: 20-36 - [c53]Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang:
Low-Rank and Sparse Cross-Domain Recommendation Algorithm. DASFAA (1) 2018: 150-157 - [c52]Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Multi-view Proximity Learning for Clustering. DASFAA (2) 2018: 407-423 - [c51]Yi-Ming Wen, Chang-Dong Wang, Kun-Yu Lin:
Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity. DASFAA (1) 2018: 529-537 - [c50]He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow:
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. ICDM 2018: 157-166 - [c49]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. ICDM 2018: 1043-1048 - [c48]Mansheng Chen, Dong Huang, Mingkai He, Chang-Dong Wang:
Ensemble Clustering by Noise-Aware Graph Decomposition. ICIT 2018: 184-188 - [c47]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Stacked Discriminative Denoising Auto-encoder Based Recommender System. IScIDE 2018: 276-286 - [i10]He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow:
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. CoRR abs/1808.09852 (2018) - [i9]Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh:
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities. CoRR abs/1810.12544 (2018) - [i8]He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang:
Generative Dual Adversarial Network for Generalized Zero-shot Learning. CoRR abs/1811.04857 (2018) - 2017
- [j23]