Cangqi Zhou

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 31

Top Topics

Heterogeneous Networks

Graph Embedding

Gaussian Mixture

Top Venues

Expert Syst. Appl.

IEEE Trans Autom. Sci. Eng.

Publications

Jing Zhang, Xiaoqian Jiang, Yingjie Xie, Cangqi Zhou
Heterogeneous Graph Contrastive Learning with Spectral Augmentation. CoRR (2024)
Tong Lin, Cangqi Zhou, Qianmu Li, Dianming Hu
Multi-level Disentangled Contrastive Learning on Heterogeneous Graphs. ICMLC (2024)
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng
Active Crowdsourcing for Multilabel Annotation. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Hanrui Zhang, Qianmu Li, Shunmei Meng, Zhuoran Xu, Chaoxian Lv, Cangqi Zhou
A safety fault diagnosis method on industrial intelligent control equipment. Wirel. Networks 30 (5) (2024)
Chen Hou, Cangqi Zhou, Chu-Ge Wu, Rui Cong, Kun Li
Optimization of Cloud-Based Multi-Agent System for Trade-Off Between Trustworthiness of Data and Cost of Data Usage. IEEE Trans Autom. Sci. Eng. 21 (1) (2024)
Chen Hou, Cangqi Zhou, Qilong Huang, Chao-Bo Yan
Cache Control of Edge Computing System for Tradeoff Between Delays and Cache Storage Costs. IEEE Trans Autom. Sci. Eng. 21 (1) (2024)
Xiang Li, Jing Zhang, Yali Yuan, Cangqi Zhou
Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks. CoRR (2023)
Qilong Huang, Li Yang, Qing-Shan Jia, Yaowen Qi, Cangqi Zhou, Xiaohong Guan
A Simulation-Based Primal-Dual Approach for Constrained V2G Scheduling in a Microgrid of Building. IEEE Trans Autom. Sci. Eng. 20 (3) (2023)
Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu
Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. ICDM (2023)
Yingjie Xie, Qi Yan, Cangqi Zhou, Jing Zhang, Dianming Hu
Heterogeneous Graph Contrastive Learning with Dual Aggregation Scheme and Adaptive Augmentation. APWeb/WAIM (4) (2023)
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu
AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. WSDM (2022)
Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng
Bipartite network embedding with Symmetric Neighborhood Convolution. Expert Syst. Appl. 198 (2022)
Yanhui Peng, Jing Zhang, Cangqi Zhou, Shunmei Meng
Knowledge Graph Entity Alignment Using Relation Structural Similarity. J. Database Manag. 33 (1) (2022)
Chen Hou, Cangqi Zhou, Chu-Ge Wu, Rui Cong, Kun Li
Optimal Model of Cloud-Based Multi-Agent System for Trade-off Between Trustworthiness of Data and Cost of Data Usage. CASE (2022)
Yuxiang Wang, Cangqi Zhou, Jing Zhang, Qianmu Li
Attributed Graph Clustering with Double Contrastive Projector. IJCNN (2022)
Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu
End-to-end Modularity-based Community Co-partition in Bipartite Networks. CIKM (2022)
Cangqi Zhou, Sunyue Xu, Hao Ban, Jing Zhang
Neural Topic Modeling with Gaussian Mixture Model and Householder Flow. PAKDD (2) (2022)
Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu
Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. ICDM (2021)
Mengxi Li, Jing Zhang, Lixia Chen, Yu Fu, Cangqi Zhou
HPEMed: Heterogeneous Network Pair Embedding for Medical Diagnosis. ChineseCSCW (2) (2021)
Jing Zhang, Mengxi Li, Kaisheng Gao, Shunmei Meng, Cangqi Zhou
Word and graph attention networks for semi-supervised classification. Knowl. Inf. Syst. 63 (11) (2021)
Hui Chen, Cangqi Zhou, Jing Zhang, Qianmu Li
Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution. IJCNN (2021)
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng
Multi-label graph node classification with label attentive neighborhood convolution. Expert Syst. Appl. 180 (2021)
Yanhui Peng, Jing Zhang, Cangqi Zhou, Jian Xu
Embedding-Based Entity Alignment Using Relation Structural Similarity. ICKG (2020)
Liang Feng, Qianchuan Zhao, Cangqi Zhou
recommendations with co-clustering method. Expert Syst. Appl. 143 (2020)
Cangqi Zhou, Hao Ban, Jing Zhang, Qianmu Li, Yinghua Zhang
Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling. IEEE Access 8 (2020)
Shuo Wang, Qianmu Li, Jun Hou, Shunmei Meng, Bo Zhang, Cangqi Zhou
Active Defense by Mimic Association Transmission in Edge Computing. Mob. Networks Appl. 25 (2) (2020)
Shuo Wang, Qianmu Li, Shunmei Meng, Bo Zhang, Cangqi Zhou
An Active Defense Model in Edge Computing Based on Network Topology Mimetic Correlation. MobiCASE (2019)
Kaisheng Gao, Jing Zhang, Cangqi Zhou
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification. CoRR (2019)
Kaisheng Gao, Jing Zhang, Cangqi Zhou
Semi-supervised Graph Embedding for Multi-label Graph Node Classification. WISE (2019)
Liang Feng, Qianchuan Zhao, Cangqi Zhou
-partite networks. ASONAM (2019)
Cangqi Zhou, Qianchuan Zhao
Efficient Time Series Clustering and Its Application to Social Network Mining. J. Intell. Syst. 23 (2) (2014)
Cangqi Zhou, Qianchuan Zhao, Ruixi Yuan
An angle-based dissimilarity for accelerating the clustering of dynamic data in networks. ICNSC (2013)