Cangqi Zhou

40 papers A* 3A 3B 4Misc 1Journal 20Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Heterogeneous graph contrastive learning with spectral augmentation and dual aggregation.
Pattern Recognit.
Jing Zhang, Wan Zhang, Xiaoqian Jiang, Yingjie Xie, Yali Yuan, Shunmei Meng, Cangqi Zhou
2025 J jnl
Learning From Crowds Using Graph Neural Networks With Attention Mechanism.
IEEE Trans. Big Data
Jing Zhang, Ming Wu, Zeyi Sun, Cangqi Zhou
2025 A* conf
MPPR: Memory-Prior-based Prompt Refinement in Continuous Space for Advanced Text-to-Image Generation.
ACM Multimedia
Zhibing Zhang, Jiantao Lin, Cangqi Zhou, Rui Xia
2025 — conf
Open-World Knowledge Augmentation for Zero-Shot Information Extraction in LLMs.
ICIC (23)
Haijiang Li, Cangqi Zhou, Jing Zhang, Dianming Hu
2024 J jnl
A safety fault diagnosis method on industrial intelligent control equipment.
Wirel. Networks
Hanrui Zhang, Qianmu Li, Shunmei Meng, Zhuoran Xu, Chaoxian Lv, Cangqi Zhou
2024 J jnl
Active Crowdsourcing for Multilabel Annotation.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng
2024 J jnl
Cache Control of Edge Computing System for Tradeoff Between Delays and Cache Storage Costs.
IEEE Trans Autom. Sci. Eng.
Chen Hou, Cangqi Zhou, Qilong Huang, Chao-Bo Yan
2024 J jnl
Heterogeneous Graph Contrastive Learning with Spectral Augmentation.
CoRR
Jing Zhang, Xiaoqian Jiang, Yingjie Xie, Cangqi Zhou
2024 J jnl
Hierarchical Graph Capsule Networks for Molecular Function Classification With Disentangled Representations.
IEEE Trans. Comput. Biol. Bioinform.
Jing Zhang, Yu Lei, Yuxiang Wang, Cangqi Zhou, Victor S. Sheng
2024 Misc conf
Multi-level Disentangled Contrastive Learning on Heterogeneous Graphs.
ICMLC
Tong Lin, Cangqi Zhou, Qianmu Li, Dianming Hu
2024 J jnl
Optimization of Cloud-Based Multi-Agent System for Trade-Off Between Trustworthiness of Data and Cost of Data Usage.
IEEE Trans Autom. Sci. Eng.
Chen Hou, Cangqi Zhou, Chu-Ge Wu, Rui Cong, Kun Li
2024 J jnl
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks.
ACM Trans. Intell. Syst. Technol.
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu
2024 A conf
Timeliness-Selective Incentive Federated Crowdsourcing.
ICWS
Xiaoqian Jiang, Haiyang Diao, Cangqi Zhou, Jing Zhang
2023 J jnl
A Simulation-Based Primal-Dual Approach for Constrained V2G Scheduling in a Microgrid of Building.
IEEE Trans Autom. Sci. Eng.
Qilong Huang, Li Yang, Qing-Shan Jia, Yaowen Qi, Cangqi Zhou, Xiaohong Guan
2023 — conf
Heterogeneous Graph Contrastive Learning with Dual Aggregation Scheme and Adaptive Augmentation.
APWeb/WAIM (4)
Yingjie Xie, Qi Yan, Cangqi Zhou, Jing Zhang, Dianming Hu
2023 A* conf
Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio.
ICDM
Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu
2023 — conf
Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling.
ICANN (4)
Peishuo Liu, Cangqi Zhou, Xiao Liu, Jing Zhang, Qianmu Li
2023 J jnl
Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks.
CoRR
Xiang Li, Jing Zhang, Yali Yuan, Cangqi Zhou
2022 A conf
AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss.
WSDM
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu
2022 B conf
Attributed Graph Clustering with Double Contrastive Projector.
IJCNN
Yuxiang Wang, Cangqi Zhou, Jing Zhang, Qianmu Li
2022 J jnl
Bipartite network embedding with Symmetric Neighborhood Convolution.
Expert Syst. Appl.
Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng
2022 A conf
End-to-end Modularity-based Community Co-partition in Bipartite Networks.
CIKM
Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu
2022 J jnl
Knowledge Graph Entity Alignment Using Relation Structural Similarity.
J. Database Manag.
Yanhui Peng, Jing Zhang, Cangqi Zhou, Shunmei Meng
2022 — conf
Neural Topic Modeling with Gaussian Mixture Model and Householder Flow.
PAKDD (2)
Cangqi Zhou, Sunyue Xu, Hao Ban, Jing Zhang
2022 — conf
Optimal Model of Cloud-Based Multi-Agent System for Trade-off Between Trustworthiness of Data and Cost of Data Usage.
CASE
Chen Hou, Cangqi Zhou, Chu-Ge Wu, Rui Cong, Kun Li
2021 — conf
HPEMed: Heterogeneous Network Pair Embedding for Medical Diagnosis.
ChineseCSCW (2)
Mengxi Li, Jing Zhang, Lixia Chen, Yu Fu, Cangqi Zhou
2021 B conf
Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution.
IJCNN
Hui Chen, Cangqi Zhou, Jing Zhang, Qianmu Li
2021 J jnl
Multi-label graph node classification with label attentive neighborhood convolution.
Expert Syst. Appl.
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng
2021 A* conf
Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation.
ICDM
Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu
2021 J jnl
Word and graph attention networks for semi-supervised classification.
Knowl. Inf. Syst.
Jing Zhang, Mengxi Li, Kaisheng Gao, Shunmei Meng, Cangqi Zhou
2020 J jnl
Active Defense by Mimic Association Transmission in Edge Computing.
Mob. Networks Appl.
Shuo Wang, Qianmu Li, Jun Hou, Shunmei Meng, Bo Zhang, Cangqi Zhou
2020 — conf
Embedding-Based Entity Alignment Using Relation Structural Similarity.
ICKG
Yanhui Peng, Jing Zhang, Cangqi Zhou, Jian Xu
2020 J jnl
Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling.
IEEE Access
Cangqi Zhou, Hao Ban, Jing Zhang, Qianmu Li, Yinghua Zhang
2020 J jnl
Improving performances of Top-
Expert Syst. Appl.
Liang Feng, Qianchuan Zhao, Cangqi Zhou
2019 — conf
An Active Defense Model in Edge Computing Based on Network Topology Mimetic Correlation.
MobiCASE
Shuo Wang, Qianmu Li, Shunmei Meng, Bo Zhang, Cangqi Zhou
2019 B conf
An efficient method to find communities in
ASONAM
Liang Feng, Qianchuan Zhao, Cangqi Zhou
2019 J jnl
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification.
CoRR
Kaisheng Gao, Jing Zhang, Cangqi Zhou
2019 B conf
Semi-supervised Graph Embedding for Multi-label Graph Node Classification.
WISE
Kaisheng Gao, Jing Zhang, Cangqi Zhou
2014 J jnl
Efficient Time Series Clustering and Its Application to Social Network Mining.
J. Intell. Syst.
Cangqi Zhou, Qianchuan Zhao
2013 — conf
An angle-based dissimilarity for accelerating the clustering of dynamic data in networks.
ICNSC
Cangqi Zhou, Qianchuan Zhao, Ruixi Yuan