Liang Zhao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 42

Top Topics

Image Synthesis

Transfer Learning

Semantic Mapping

Top Venues

Expert Syst. Appl.

IEEE Signal Process. Lett.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Ruixin Ma, Xiaoru Wang, Cunxi Cao, Xiya Bu, Hao Wu, Liang Zhao
GLSEC: Global and local semantic-enhanced contrastive framework for knowledge graph completion. Expert Syst. Appl. 250 (2024)
Xu Yuan, Zixuan Chen, Xiya Bu, Zhengnan Gao, Liang Zhao, Ruixin Ma
Knowledge graph fine-grained network with attribute transfer for recommendation. Expert Syst. Appl. 257 (2024)
Ruixin Ma, Xiya Bu, Zixuan Chen, Huinan Wu, Yunlong Ma, Liang Zhao
Knowledge graph preference migration network for recommendation. Expert Syst. Appl. 237 (Part A) (2024)
Ruixin Ma, Hao Wu, Xiaoru Wang, Weihe Wang, Yunlong Ma, Liang Zhao
Multi-view semantic enhancement model for few-shot knowledge graph completion. Expert Syst. Appl. 238 (Part E) (2024)
Zhenjiao Liu, Zhikui Chen, Kai Lou, Praboda Rajapaksha, Liang Zhao, Noël Crespi, Xiaodi Huang
CCIM-SLR: Incomplete multiview co-clustering by sparse low-rank representation. Multim. Tools Appl. 83 (22) (2024)
Liang Zhao, Qinghao Hu, Xiaoyuan Li, Jingyuan Zhao
Multimodal Fusion Generative Adversarial Network for Image Synthesis. IEEE Signal Process. Lett. 31 (2024)
Zhikui Chen, Kai Lou, Zhenjiao Liu, Yue Li, Yiming Luo, Liang Zhao
Joint long and short span self-attention network for multi-view classification. Expert Syst. Appl. 235 (2024)
Liang Zhao, Pingda Huang, Tengtuo Chen, Chunjiang Fu, Qinghao Hu, Yangqianhui Zhang
Multi-Sentence Complementarily Generation for Text-to-Image Synthesis. IEEE Trans. Multim. 26 (2024)
Liang Zhao, Xiao Wang, Zhenjiao Liu, Hong Yuan, Jingyuan Zhao, Shuang Zhou
Deep probability multi-view feature learning for data clustering. Expert Syst. Appl. 217 (2023)
Zhikui Chen, Yue Li, Kai Lou, Liang Zhao
Incomplete Multi-View Clustering With Complete View Guidance. IEEE Signal Process. Lett. 30 (2023)
Shaokui Gu, Xu Yuan, Liang Zhao, Zhenjiao Liu, Yan Hu, Zhikui Chen
MVCIR-net: Multi-view Clustering Information Reinforcement Network. ACM Multimedia (2023)
Zhenjiao Liu, Zhikui Chen, Yue Li, Liang Zhao, Tao Yang, Reza Farahbakhsh, Noël Crespi, Xiaodi Huang
IMC-NLT: Incomplete multi-view clustering by NMF and low-rank tensor. Expert Syst. Appl. 221 (2023)
Liang Zhao, Chaoran Jia, Yu Shao, Zhanxin Gang, Rui Lin, Ruixin Ma
Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal Fusion. BIBM (2023)
Ruixin Ma, Biao Mei, Yunlong Ma, Hongyan Zhang, Meihong Liu, Liang Zhao
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs. Data Min. Knowl. Discov. 37 (4) (2023)
Ruixin Ma, Yunlong Ma, Hongyan Zhang, Biao Mei, Guangyue Lv, Liang Zhao
PANC: Prototype Augmented Neighbor Constraint instance completion in knowledge graphs. Expert Syst. Appl. 213 (Part) (2023)
Ruixin Ma, Mengfei Yu, Buyun Gao, Jiaqi Guo, Zhikui Chen, Liang Zhao
Enhancing Path Information with Reinforcement Learning for Few-shot Knowledge Graph Completion. ICPADS (2023)
Xu Yuan, Shaokui Gu, Zhenjiao Liu, Liang Zhao
Mining Multi-View Clustering Space With Interpretable Space Search Constraint. IEEE Signal Process. Lett. 30 (2023)
Ruixin Ma, Fangqing Guo, Zeyang Li, Liang Zhao
Knowledge Graph Random Neural Networks for Recommender Systems. Expert Syst. Appl. 201 (2022)
Ruixin Ma, Hongyan Zhang, Biao Mei, Guangyue Lv, Liang Zhao
SATCN: An Improved Temporal Convolutional Neural Network with Self Attention Mechanism for Knowledge Tracing. ICCSE (1) (2022)
Liang Zhao, Jie Zhang, Tao Yang, Zhikui Chen
Incomplete multi-view clustering based on weighted sparse and low rank representation. Appl. Intell. 52 (13) (2022)
Liang Zhao, Yu Shao, Chaoran Jia, Jiajun Ma
Time-series lung cancer CT dataset. BIBM (2022)
Zhikui Chen, Liang Zhao, Qiucen Li, Xin Song, Jianing Zhang
Multimodal Data Fusion. Honoring Professor Mohammad S. Obaidat (2022)
Ruixin Ma, Guangyue Lv, Liang Zhao, Yunlong Ma, Hongyan Zhang, Xiaobin Liu
Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation. KSEM (1) (2022)
Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen, Yi Yang, Z. Jane Wang
Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Jianzhe Lin, Liang Zhao, Qi Wang, Rabab Ward, Z. Jane Wang
DT-LET: Deep transfer learning by exploring where to transfer. Neurocomputing 390 (2020)
Liang Zhao, Zhikui Chen, Laurence T. Yang, M. Jamal Deen, Z. Jane Wang
Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data. ACM Trans. Multim. Comput. Commun. Appl. 15 (1s) (2019)
Liang Zhao, Zhikui Chen, Yi Yang, Liang Zou, Z. Jane Wang
ICFS Clustering With Multiple Representatives for Large Data. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Xiru Qiu, Zhikui Chen, Liang Zhao, Chengsheng Hu
Unsupervised multi-view non-negative for law data feature learning with dual graph-regularization in smart Internet of Things. Future Gener. Comput. Syst. 100 (2019)
Yu Ma, Zhikui Chen, Xiru Qiu, Liang Zhao
Robust and graph regularised non-negative matrix factorisation for heterogeneous co-transfer clustering. Int. J. Comput. Sci. Eng. 18 (1) (2019)
Liang Zhao, Zhikui Chen, Yueming Hu, Geyong Min, Zhaohua Jiang
Distributed Feature Selection for Efficient Economic Big Data Analysis. IEEE Trans. Big Data 4 (2) (2018)
Liang Zhao, Zhikui Chen, Z. Jane Wang
Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering. IEEE Signal Process. Lett. 25 (1) (2018)
Liang Zhao, Zhikui Chen, Yi Yang, Z. Jane Wang, Victor C. M. Leung
Incomplete multi-view clustering via deep semantic mapping. Neurocomputing 275 (2018)
Guohua Liu, Zhihong Ying, Liang Zhao, Xu Yuan, Zhikui Chen
A New Deep Transfer Learning Model for Judicial Data Classification. iThings/GreenCom/CPSCom/SmartData (2018)
Zhikui Chen, Xiru Qiu, Liang Zhao, Jianing Du
Dual Graph-Regularized Multi-view Feature Learning. HPCC/SmartCity/DSS (2018)
Qiucen Li, Fangming Zhong, Liang Zhao
Adaptive Multimodal Hypergraph Learning for Image Classification. HPCC/SmartCity/DSS (2018)
Jianzhe Lin, Liang Zhao, Shuying Li, Rabab K. Ward, Z. Jane Wang
Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (11) (2018)
Liang Zhao, Zhikui Chen, Zhennan Yang, Yueming Hu, Mohammad S. Obaidat
Local Similarity Imputation Based on Fast Clustering for Incomplete Data in Cyber-Physical Systems. IEEE Syst. J. 12 (2) (2018)
Liang Zhao, Zhikui Chen, Yi Yang
Incremental CFS clustering on large data. GlobalSIP (2017)
Peng Li, Zhikui Chen, Laurence T. Yang, Liang Zhao, Qingchen Zhang
A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing. Neurocomputing 256 (2017)
Qingchen Zhang, Chunsheng Zhu, Laurence T. Yang, Zhikui Chen, Liang Zhao, Peng Li
An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things. IEEE Trans. Ind. Informatics 13 (3) (2017)
Liang Zhao, Zhikui Chen, Yi Yang
Parameter-Free Incremental Co-Clustering for Multi-Modal Data in Cyber-Physical-Social Systems. IEEE Access 5 (2017)
Jing Gao, Liang Zhao, Zhikui Chen, Peng Li, Han Xu, Yueming Hu
ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm. DASC/PiCom/DataCom/CyberSciTech (2016)
Liang Zhao, Zhikui Chen, Zhennan Yang, Yueming Hu
A Hybrid Method for Incomplete Data Imputation. HPCC/CSS/ICESS (2015)
Qingchen Zhang, Zhikui Chen, Ailing Lv, Liang Zhao, Fangyi Liu, Jian Zou
A Universal Storage Architecture for Big Data in Cloud Environment. GreenCom/iThings/CPScom (2013)
Qingchen Zhang, Zhikui Chen, Liang Zhao
Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud. WAIM Workshops (2013)
Weiyuan Sun, Xing Chen, Fangyi Liu, Liang Zhao
Collection System for Pressure Information of Buildings Based on the IoT and CAN Bus. CyberC (2012)