Chang-Dong Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 221

Top Venues

CoRR

ICDM

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Pei-Yuan Lai, Zhe-Rui Yang, Qing-Yun Dai, De-Zhang Liao, Chang-Dong Wang
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment. Knowl. Inf. Syst. 66 (3) (2024)
Wen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Zhe-Rui Yang, Zhen-Yu He, Chang-Dong Wang, Jian-Huang Lai, Zhihong Tian
Collaborative Meta-Path Modeling for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai
Refining Graph Structure for Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
Tensorized Incomplete Multi-view Kernel Subspace Clustering. Neural Networks 179 (2024)
Fangyuan Lei, Jiahao Huang, Jianjian Jiang, Da Huang, Zhengming Li, Chang-Dong Wang
Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph. Knowl. Based Syst. 284 (2024)
Xiaojun Yang, Weihao Zhao, Yuxiong Xu, Chang-Dong Wang, Bin Li, Feiping Nie
Sparse K-means clustering algorithm with anchor graph regularization. Inf. Sci. 667 (2024)
Xiao-Kai Cao, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Yue Zhang, Sirui Yang, Weitian Huang, Chang-Dong Wang, Hongmin Cai
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Guangqiang Xie, Biwei Zhong, Haoran Xu, Yang Li, Xianbiao Hu, Chang-Dong Wang
Connectivity-preserving rendezvous in discrete-time multi-agent systems via relative neighborhood proximity graph. Trans. Inst. Meas. Control 46 (4) (2024)
Xiangmin Luo, Ziwei Chen, Da Huang, Fangyuan Lei, Chang-Dong Wang, Iman Yi Liao
An Unsupervised Domain Adaption Method for Fault Diagnosis via Multichannel Variational Hypergraph Autoencoder. IEEE Trans. Instrum. Meas. 73 (2024)
Chuyuan Wei, Chuanhao Hu, Chang-Dong Wang, Shuqiang Huang
Time-Aware Multibehavior Contrastive Learning for Social Recommendation. IEEE Trans. Ind. Informatics 20 (4) (2024)
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
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 (2024)
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. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
Unified and Tensorized Incomplete Multi-View Kernel Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani, Min Chen
Knowledge-Aware Explainable Reciprocal Recommendation. AAAI (2024)
Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Chang-Dong Wang, C. L. Philip Chen
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs. IEEE Trans. Big Data 10 (1) (2024)
Jia-Qi Lin, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
A Tensor Approach for Uncoupled Multiview Clustering. IEEE Trans. Cybern. 54 (2) (2024)
Zhiqiang Bao, Zihao Chen, Chang-Dong Wang, Wei-Shi Zheng, Zhenhua Huang, Yunwen Chen
Post-Distillation via Neural Resuscitation. IEEE Trans. Multim. 26 (2024)
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang
Joint Multi-View Unsupervised Feature Selection and Graph Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Ting-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Jia-Qi Lin, Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shu-Qiang Huang
Online Feature Selection With Varying Feature Spaces. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Zhi-Yuan Li, Mansheng Chen, Yuefang Gao, Chang-Dong Wang
Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation. Data Sci. Eng. 8 (3) (2023)
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) (2023)
Xiang-Long Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang
Auto Graph Filtering for Bundle Recommendation. ICDM (2023)
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
Facilitated low-rank multi-view subspace clustering. Knowl. Based Syst. 260 (2023)
Ting-Ting Su, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang
MCRec: Multi-channel Gated Gifts Recommendation. ICDM (2023)
Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. WSDM (2023)
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) (2023)
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) (2023)
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 (2023)
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
Knowledge Prompt-tuning for Sequential Recommendation. CoRR (2023)
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) (2023)
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) (2023)
Zi-Feng Mai, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen, Philip S. Yu
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. CoRR (2023)
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) (2023)
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. KDD (2023)
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)
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. CoRR (2023)
Ronghai Xu, Haijun Zhao, Zhi-Yuan Li, Chang-Dong Wang
ALGCN: Accelerated Light Graph Convolution Network for Recommendation. DASFAA (2) (2023)
Kang Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang
Hypergraph Attribute Attention Network for Community Recommendation. ICDM (2023)
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) (2023)
Xiaozhi Deng, Dong Huang, Chang-Dong Wang
Heterogeneous Tri-stream Clustering Network. Neural Process. Lett. 55 (5) (2023)
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) (2023)
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 (2023)
Ying Zhong, Dong Huang, Chang-Dong Wang
Deep Temporal Contrastive Clustering. Neural Process. Lett. 55 (6) (2023)
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) (2023)
Ling Huang, Chang-Dong Wang, Philip S. Yu
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. 53 (5) (2023)
Yi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, Jian-Huang Lai
PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation. ICDM (2023)
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 (2023)
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) (2023)
Fei-Yao Liang, Fei-Peng Li, Ronghai Xu, Wei Cheng, Shi-Xian Deng, Zhe-Rui Yang, Chang-Dong Wang
Telecom Fraud Detection Based on Feature Binning and Autoencoder. ICDM (2023)
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
Knowledge Prompt-tuning for Sequential Recommendation. ACM Multimedia (2023)
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. KDD (2023)
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. CoRR (2023)
Hua-Bao Ling, Dong Huang, Jinrong Cui, Chang-Dong Wang
HOLT-Net: Detecting smokers via human-object interaction with lite transformer network. Eng. Appl. Artif. Intell. 126 (2023)
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)
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Strongly augmented contrastive clustering. Pattern Recognit. 139 (2023)
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) (2023)
Xiaozhi Deng, Dong Huang, Chang-Dong Wang
Heterogeneous Tri-stream Clustering Network. CoRR (2023)
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
SR: Global Graph Guided Session-Based Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Mansheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Adaptively-weighted Integral Space for Fast Multiview Clustering. ACM Multimedia (2022)
Yuanku Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks. CoRR (2022)
Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Vision Transformer for Contrastive Clustering. CoRR (2022)
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) (2022)
Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang
D-TRACE: Deep Triply-Aligned Clustering. ICANN (1) (2022)
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)
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) (2022)
Mansheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
Efficient Orthogonal Multi-view Subspace Clustering. KDD (2022)
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) (2022)
Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering. CoRR (2022)
Ying Zhong, Dong Huang, Chang-Dong Wang
Deep Temporal Contrastive Clustering. CoRR (2022)
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) (2022)
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) (2022)
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 (2022)
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 (2022)
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) (2022)
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) (2022)
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 (2022)
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)
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) (2022)
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) (2022)
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) (2022)
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
SR: Global Graph Guided Session-based Recommendation. CoRR (2022)
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) (2022)
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) (2022)
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 (2022)
Zhilin Zhao, Longbing Cao, Chang-Dong Wang
Gray Learning from Non-IID Data with Out-of-distribution Samples. CoRR (2022)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity. CoRR (2022)
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) (2022)
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 (2022)
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)
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 (2022)
Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu
Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. 52 (8) (2022)
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Strongly Augmented Contrastive Clustering. CoRR (2022)
Mansheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Adaptively-weighted Integral Space for Fast Multiview Clustering. CoRR (2022)

Chang-Dong Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chang-Dong Wang