Liang Zhao

According to our database, Liang Zhao authored at least 49 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-view semantic enhancement model for few-shot knowledge graph completion.

Ruixin Ma, Hao Wu, Xiaoru Wang, Weihe Wang, Yunlong Ma, Liang Zhao

Expert Syst. Appl., March, 2024

Knowledge graph preference migration network for recommendation.

Ruixin Ma, Xiya Bu, Zixuan Chen, Huinan Wu, Yunlong Ma, Liang Zhao

Expert Syst. Appl., March, 2024

Joint long and short span self-attention network for multi-view classification.

Zhikui Chen, Kai Lou, Zhenjiao Liu, Yue Li, Yiming Luo, Liang Zhao

Expert Syst. Appl., January, 2024

2023

IMC-NLT: Incomplete multi-view clustering by NMF and low-rank tensor.

Zhenjiao Liu, Zhikui Chen, Yue Li, Liang Zhao, Tao Yang, Reza Farahbakhsh, Noël Crespi, Xiaodi Huang

Expert Syst. Appl., July, 2023

Deep probability multi-view feature learning for data clustering.

Liang Zhao, Xiao Wang, Zhenjiao Liu, Hong Yuan, Jingyuan Zhao, Shuang Zhou

Expert Syst. Appl., May, 2023

Mining Multi-View Clustering Space With Interpretable Space Search Constraint.

Xu Yuan, Shaokui Gu, Zhenjiao Liu, Liang Zhao

IEEE Signal Process. Lett., 2023

Incomplete Multi-View Clustering With Complete View Guidance.

Zhikui Chen, Yue Li, Kai Lou, Liang Zhao

IEEE Signal Process. Lett., 2023

PANC: Prototype Augmented Neighbor Constraint instance completion in knowledge graphs.

Ruixin Ma, Yunlong Ma, Hongyan Zhang, Biao Mei, Guangyue Lv, Liang Zhao

Expert Syst. Appl., 2023

One-shot relational learning for extrapolation reasoning on temporal knowledge graphs.

Ruixin Ma, Biao Mei, Yunlong Ma, Hongyan Zhang, Meihong Liu, Liang Zhao

Data Min. Knowl. Discov., 2023

MVCIR-net: Multi-view Clustering Information Reinforcement Network.

Shaokui Gu, Xu Yuan, Liang Zhao, Zhenjiao Liu, Yan Hu, Zhikui Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Enhancing Path Information with Reinforcement Learning for Few-shot Knowledge Graph Completion.

Ruixin Ma, Mengfei Yu, Buyun Gao, Jiaqi Guo, Zhikui Chen, Liang Zhao

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal Fusion.

Liang Zhao, Chaoran Jia, Yu Shao, Zhanxin Gang, Rui Lin, Ruixin Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Multilabel Aerial Image Classification With Unsupervised Domain Adaptation.

Dan Lin, Jianzhe Lin, Liang Zhao, Zhen Wang, Zhikui Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Multilabel Aerial Image Classification With a Concept Attention Graph Neural Network.

Dan Lin, Jianzhe Lin, Liang Zhao, Z. Jane Wang, Zhikui Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Knowledge Graph Random Neural Networks for Recommender Systems.

Ruixin Ma, Fangqing Guo, Zeyang Li, Liang Zhao

Expert Syst. Appl., 2022

LSTM-MFCN: A time series classifier based on multi-scale spatial-temporal features.

Liang Zhao, Chunyang Mo, Jiajun Ma, Zhikui Chen, Chenhui Yao

Comput. Commun., 2022

Incomplete multi-view clustering based on weighted sparse and low rank representation.

Liang Zhao, Jie Zhang, Tao Yang, Zhikui Chen

Appl. Intell., 2022

Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation.

Ruixin Ma, Guangyue Lv, Liang Zhao, Yunlong Ma, Hongyan Zhang, Xiaobin Liu

Proceedings of the Knowledge Science, Engineering and Management, 2022

Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs.

Dan Lin, Zhikui Chen, Liang Zhao, Kai Wang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

SATCN: An Improved Temporal Convolutional Neural Network with Self Attention Mechanism for Knowledge Tracing.

Ruixin Ma, Hongyan Zhang, Biao Mei, Guangyue Lv, Liang Zhao

Proceedings of the Computer Science and Education - 17th International Conference, 2022

Multimodal Data Fusion.

Zhikui Chen, Liang Zhao, Qiucen Li, Xin Song, Jianing Zhang

Proceedings of the Advances in Computing, Informatics, Networking and Cybersecurity, 2022

Time-series lung cancer CT dataset.

Liang Zhao, Yu Shao, Chaoran Jia, Jiajun Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data.

Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen, Yi Yang, Z. Jane Wang

IEEE Trans. Neural Networks Learn. Syst., 2021

Dual Alignment Self-Supervised Incomplete Multi-View Subspace Clustering Network.

Liang Zhao, Jie Zhang, Qiuhao Wang, Zhikui Chen

IEEE Signal Process. Lett., 2021

Incremental multi-view correlated feature learning based on non-negative matrix factorisation.

Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen

IET Comput. Vis., 2021

Hybrid attention mechanism for few-shot relational learning of knowledge graphs.

Ruixin Ma, Zeyang Li, Fangqing Guo, Liang Zhao

IET Comput. Vis., 2021

2020

Multi-View Robust Feature Learning for Data Clustering.

Liang Zhao, Tianyang Zhao, Tingting Sun, Zhuo Liu, Zhikui Chen

IEEE Signal Process. Lett., 2020

DT-LET: Deep transfer learning by exploring where to transfer.

Jianzhe Lin, Liang Zhao, Qi Wang, Rabab Ward, Z. Jane Wang

Neurocomputing, 2020

2019

Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data.

Liang Zhao, Zhikui Chen, Laurence T. Yang, M. Jamal Deen, Z. Jane Wang

ACM Trans. Multim. Comput. Commun. Appl., 2019

ICFS Clustering With Multiple Representatives for Large Data.

Liang Zhao, Zhikui Chen, Yi Yang, Liang Zou, Z. Jane Wang

IEEE Trans. Neural Networks Learn. Syst., 2019

Robust and graph regularised non-negative matrix factorisation for heterogeneous co-transfer clustering.

Yu Ma, Zhikui Chen, Xiru Qiu, Liang Zhao

Int. J. Comput. Sci. Eng., 2019

Unsupervised multi-view non-negative for law data feature learning with dual graph-regularization in smart Internet of Things.

Xiru Qiu, Zhikui Chen, Liang Zhao, Chengsheng Hu

Future Gener. Comput. Syst., 2019

2018

Distributed Feature Selection for Efficient Economic Big Data Analysis.

Liang Zhao, Zhikui Chen, Yueming Hu, Geyong Min, Zhaohua Jiang

IEEE Trans. Big Data, 2018

Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification.

Jianzhe Lin, Liang Zhao, Shuying Li, Rabab K. Ward, Z. Jane Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering.

Liang Zhao, Zhikui Chen, Z. Jane Wang

IEEE Signal Process. Lett., 2018

Local Similarity Imputation Based on Fast Clustering for Incomplete Data in Cyber-Physical Systems.

Liang Zhao, Zhikui Chen, Zhennan Yang, Yueming Hu, Mohammad S. Obaidat

IEEE Syst. J., 2018

Incomplete multi-view clustering via deep semantic mapping.

Liang Zhao, Zhikui Chen, Yi Yang, Z. Jane Wang, Victor C. M. Leung

Neurocomputing, 2018

A New Deep Transfer Learning Model for Judicial Data Classification.

Guohua Liu, Zhihong Ying, Liang Zhao, Xu Yuan, Zhikui Chen

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Adaptive Multimodal Hypergraph Learning for Image Classification.

Qiucen Li, Fangming Zhong, Liang Zhao

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Dual Graph-Regularized Multi-view Feature Learning.

Zhikui Chen, Xiru Qiu, Liang Zhao, Jianing Du

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017

An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things.

Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang, Zhikui Chen, Liang Zhao, Peng Li

IEEE Trans. Ind. Informatics, 2017

A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing.

Peng Li, Zhikui Chen, Laurence T. Yang, Liang Zhao, Qingchen Zhang

Neurocomputing, 2017

Parameter-Free Incremental Co-Clustering for Multi-Modal Data in Cyber-Physical-Social Systems.

Liang Zhao, Zhikui Chen, Yi Yang

IEEE Access, 2017

Incremental CFS clustering on large data.

Liang Zhao, Zhikui Chen, Yi Yang

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm.

Jing Gao, Liang Zhao, Zhikui Chen, Peng Li, Han Xu, Yueming Hu

Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

2015

A Hybrid Method for Incomplete Data Imputation.

Liang Zhao, Zhikui Chen, Zhennan Yang, Yueming Hu

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2013

Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud.

Qingchen Zhang, Zhikui Chen, Liang Zhao

Proceedings of the Web-Age Information Management, 2013

A Universal Storage Architecture for Big Data in Cloud Environment.

Qingchen Zhang, Zhikui Chen, Ailing Lv, Liang Zhao, Fangyi Liu, Jian Zou

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012

Collection System for Pressure Information of Buildings Based on the IoT and CAN Bus.

Weiyuan Sun, Xing Chen, Fangyi Liu, Liang Zhao

Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012