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Changdong Wang
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2020 – today
- 2024
[j100]Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Deep image clustering with contrastive learning and multi-scale graph convolutional networks. Pattern Recognit. 146: 110065 (2024)- 2023
- [j99]Guangqiang Xie, Haoran Xu
, Yang Li, Xianbiao Hu, Chang-Dong Wang:
Consensus enhancement for multi-agent systems with rotating-segmentation perception. Appl. Intell. 53(5): 5750-5765 (2023) - [j98]Zhi-Yuan Li, Mansheng Chen, Yuefang Gao, Chang-Dong Wang:
Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation. Data Sci. Eng. 8(3): 318-328 (2023) - [j97]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) - [j96]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Facilitated low-rank multi-view subspace clustering. Knowl. Based Syst. 260: 110141 (2023) - [j95]Chao Chang, Junming Zhou, Yu Weng, Xiangwei Zeng, Zhengyang Wu, Chang-Dong Wang, Yong Tang:
KGTN: Knowledge Graph Transformer Network for explainable multi-category item recommendation. Knowl. Based Syst. 278: 110854 (2023) - [j94]Xiaozhi Deng, Dong Huang, Chang-Dong Wang:
Heterogeneous Tri-stream Clustering Network. Neural Process. Lett. 55(5): 6533-6546 (2023) - [j93]Ying Zhong, Dong Huang, Chang-Dong Wang:
Deep Temporal Contrastive Clustering. Neural Process. Lett. 55(6): 7869-7885 (2023) - [j92]Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Strongly augmented contrastive clustering. Pattern Recognit. 139: 109470 (2023) - [j91]Chao Chang, Yong Tang, Yongxu Long, Kun Hu, Ying Li, Jianguo Li, Chang-Dong Wang:
Multi-Information Preprocessing Event Extraction With BiLSTM-CRF Attention for Academic Knowledge Graph Construction. IEEE Trans. Comput. Soc. Syst. 10(5): 2713-2724 (2023) - [j90]Ling Huang, Chang-Dong Wang, Philip S. Yu:
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. 53(5): 3060-3074 (2023) - [j89]Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen:
Multiparty Secure Broad Learning System for Privacy Preserving. IEEE Trans. Cybern. 53(10): 6636-6648 (2023) - [j88]Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Min Fu, Shu-Qiang Huang, Jianyi Huang, Youwei Tan, Chenfan Yan:
Adversarial Spam Detector With Character Similarity Network. IEEE Trans. Ind. Informatics 19(3): 2541-2551 (2023) - [j87]Chang-Dong Wang, Xi-Ran Zhu, Xueqing Zhou, Jiahong Li, Liping Lan, Dong Huang, Yiqing Zheng, Yue-Xin Cai:
Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning. IEEE J. Biomed. Health Informatics 27(7): 3187-3197 (2023) - [j86]Mansheng Chen, Chang-Dong Wang, Jian-Huang Lai:
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35(5): 5076-5090 (2023) - [j85]Lei Xu, Zhen-Yu He, Kai Wang, Chang-Dong Wang, Shu-Qiang Huang:
Explicit Message-Passing Heterogeneous Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(7): 6916-6929 (2023) - [j84]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity. IEEE Trans. Knowl. Data Eng. 35(11): 11388-11402 (2023) - [j83]Ling Huang, Ye Zhu, Yuefang Gao, Tuo Liu, Chao Chang, Caixing Liu, Yong Tang, Chang-Dong Wang:
Hybrid-Order Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(12): 12249-12263 (2023) - [j82]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. 34(2): 973-986 (2023) - [j81]Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang:
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8310-8323 (2023) - [c92]Haijun Zhao, Ronghai Xu, Chang-Dong Wang, Ying Jiang:
ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction. ADMA (1) 2023: 709-723 - [c91]Ronghai Xu, Haijun Zhao, Zhi-Yuan Li, Chang-Dong Wang:
ALGCN: Accelerated Light Graph Convolution Network for Recommendation. DASFAA (2) 2023: 221-236 - [c90]Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. KDD 2023: 1328-1340 - [c89]Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. KDD 2023: 1341-1352 - [c88]Mansheng Chen, Jia-Qi Lin, Chang-Dong Wang, Wu-Dong Xi, Dong Huang:
On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning. ACM Multimedia 2023: 3069-3077 - [c87]Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian:
Knowledge Prompt-tuning for Sequential Recommendation. ACM Multimedia 2023: 6451-6461 - [c86]Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan:
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. WSDM 2023: 69-77 - [i35]Xiaozhi Deng, Dong Huang, Chang-Dong Wang:
Heterogeneous Tri-stream Clustering Network. CoRR abs/2301.04451 (2023) - [i34]Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering. CoRR abs/2305.07386 (2023) - [i33]Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. CoRR abs/2306.09612 (2023) - [i32]Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. CoRR abs/2306.09614 (2023) - [i31]Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian:
Knowledge Prompt-tuning for Sequential Recommendation. CoRR abs/2308.08459 (2023) - 2022
- [j80]Jingli Yang, Changdong Wang, Chang'an Wei:
A novel Brownian correlation metric prototypical network for rotating machinery fault diagnosis with few and zero shot learners. Adv. Eng. Informatics 54: 101815 (2022) - [j79]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) - [j78]Hongchun Sun, Changdong Wang, Xu Cao:
An adaptive anti-noise gear fault diagnosis method based on attention residual prototypical network under limited samples. Appl. Soft Comput. 125: 109120 (2022) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [c85]Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang:
D-TRACE: Deep Triply-Aligned Clustering. ICANN (1) 2022: 526-537 - [c84]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 - [c83]Mansheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu:
Efficient Orthogonal Multi-view Subspace Clustering. KDD 2022: 127-135 - [c82]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 - [c81]Ting-Ting Su, Zhen-Yu He, Mansheng Chen, Chang-Dong Wang:
Basket Booster for Prototype-based Contrastive Learning in Next Basket Recommendation. ECML/PKDD (1) 2022: 574-589 - [c80]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 - [e2]Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang, Dan Huang:
Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1496, Springer 2022, ISBN 978-981-16-9708-1 [contents] - [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]Yuankun 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
- [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [c79]Xunxun Wu, Chang-Dong Wang, Pengfei Jiao:
Hybrid-order Stochastic Block Model. AAAI 2021: 4470-4477 - [c78]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 - [c77]Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian:
PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks. ICDM 2021: 729-738 - [c76]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 - [c75]Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang:
Attention-based Multi-proximity Preserved Attributed Network Embedding. IJCNN 2021: 1-8 - [c74]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
- [j50]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) - [j49]Changdong Wang, Hongchun Sun, Rong Zhao, Xu Cao:
Research on Bearing Fault Diagnosis Method Based on an Adaptive Anti-Noise Network under Long Time Series. Sensors 20(24): 7031 (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) - [c73]Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-View Clustering in Latent Embedding Space. AAAI 2020: 3513-3520 - [c72]Huidi Chen, Yun Xiong, Changdong Wang, Yangyong Zhu, Wei Wang:
SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs. DASFAA (3) 2020: 53-69 - [c71]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 - [c70]Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang:
Graph Pooling with Representativeness. ICDM 2020: 302-311 - [c69]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]