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ORCIDLiang Zhao 0005
Person information
- affiliation: Dalian University of Technology, School of Software Technology, China
Other persons with the same name
- Liang Zhao — disambiguation page
- Liang Zhao 0001
![[0000-0002-1502-6604]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1502-6604")
— University of São Paulo, Institute of Mathematics and Computer Science, SP, Brazil (and 1 more) - Liang Zhao 0002 — Emory University, Atlanta, GA, USA (and 2 more)
- Liang Zhao 0003 — University of Technology Sydney, Centre for Autonomous Systems, Faculty of Engineering and Information Technology, NSW, Australia (and 2 more)
- Liang Zhao 0004 — Shenyang Aerospace University, School of Computer Science, China (and 1 more)
- Liang Zhao 0006 — Baidu Research, Institute of Deep Learning, Sunnyvale, CA, USA
- Liang Zhao 0007 — Harbin Institute of Technology, Department of Computer Science and Technology, China
- Liang Zhao 0008 — Huazhong University of Science and Technology, School of Automation, Wuhan, China
- Liang Zhao 0009 — National ICT Australia, Sydney, NSW, Australia (and 1 more)
- Liang Zhao 0010 — Yangtze Normal University, School of Civil and Architectural Engineering, Chongqing, China (and 1 more)
- Liang Zhao 0011 — Beijing Normal University, Faculty of Geographical Science, China
- Liang Zhao 0012 — Guangxi University of Finance and Economics, College of Information and Statistics, Nanning, China
- Liang Zhao 0013 — Kyoto University, Japan
- Liang Zhao 0014 — Central China Normal University, Wuhan, China
- Liang Zhao 0015 — Dalian University of Technology, Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian, China
- Liang Zhao 0016 — Central China Normal University, CCNU, National Engineering Research Center for Educational Big Data, NERC-EBD, Wuhan, China
- Liang Zhao 0017 — Fudan University, School of Basic Medical Sciences, Shanghai, China
- Liang Zhao 0018 — SenseTime Research, Shanghai, China
- Liang Zhao 0019 — Nanjing University, China
- Liang Zhao 0020 — Sichuan University, School of Cyber Science and Engineering, Chengdu, China
- Liang Zhao 0021 — Xidian University, Xi'an, Shaanxi, China
- Liang Zhao 0022 — Macao Polytechnic Institute, Macau, China (and 2 more)
- Liang Zhao 0023 — Xi'an Jiaotong University, Institute of Social Psychology, China (and 1 more)
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2020 – today
- 2025
[j39]Ruixin Ma, Longfei Wang, Huinan Wu, Buyun Gao, Xiaoru Wang, Liang Zhao:
Historical Trends and Normalizing Flow for One-shot Temporal Knowledge Graph Reasoning. Expert Syst. Appl. 260: 125366 (2025)- 2024
- [j38]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: 121152 (2024) - [j37]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): 121256 (2024) - [j36]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): 122086 (2024) - [j35]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: 123793 (2024) - [j34]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: 125074 (2024) - [j33]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): 61181-61211 (2024) - [j32]Liang Zhao, Qinghao Hu, Xiaoyuan Li, Jingyuan Zhao:
Multimodal Fusion Generative Adversarial Network for Image Synthesis. IEEE Signal Process. Lett. 31: 1865-1869 (2024) - [j31]Liang Zhao, Qiongjie Xie:
Distribution-Level Multi-View Clustering for Unaligned Data. IEEE Signal Process. Lett. 31: 2330-2334 (2024) - [j30]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: 8323-8332 (2024) - 2023
- [j29]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): 1591-1608 (2023) - [j28]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): 119013 (2023) - [j27]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: 119458 (2023) - [j26]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: 119742 (2023) - [j25]Zhikui Chen, Yue Li, Kai Lou, Liang Zhao:
Incomplete Multi-View Clustering With Complete View Guidance. IEEE Signal Process. Lett. 30: 1247-1251 (2023) - [j24]Xu Yuan, Shaokui Gu, Zhenjiao Liu, Liang Zhao:
Mining Multi-View Clustering Space With Interpretable Space Search Constraint. IEEE Signal Process. Lett. 30: 1422-1426 (2023) - [c22]Liang Zhao, Chaoran Jia, Yu Shao, Zhanxin Gang, Rui Lin, Ruixin Ma:
Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal Fusion. BIBM 2023: 1740-1745 - [c21]Liang Zhao, Yu Shao, Zhanxin Gang, Chaoran Jia, Yihan Chen, Yi Yang:
Soft Tissue Sarcoma Segmentation Network Based on Self-supervised Learning. BIBM 2023: 1746-1751 - [c20]Zhanxin Gang, Chaoran Jia, Chenhua Guo, Peng Li, Jing Gao, Liang Zhao:
Predicting Chronic Obstructive Pulmonary Disease Based on Multi-Stage Composite Ensemble Learning Framework. BIBM 2023: 1921-1924 - [c19]Liang Zhao, Zihao Wang, Ziyue Wang, Zhikui Chen:
Multi-View Graph Regularized Deep Autoencoder-Like NMF Framework. ICASSP 2023: 1-5 - [c18]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: 1603-1611 - [c17]Shaokui Gu, Xu Yuan, Liang Zhao, Zhenjiao Liu, Yan Hu, Zhikui Chen:
MVCIR-net: Multi-view Clustering Information Reinforcement Network. ACM Multimedia 2023: 3609-3618 - 2022
- [j23]Liang Zhao, Jie Zhang, Tao Yang, Zhikui Chen:
Incomplete multi-view clustering based on weighted sparse and low rank representation. Appl. Intell. 52(13): 14822-14838 (2022) - [j22]Liang Zhao, Chunyang Mo, Jiajun Ma, Zhikui Chen, Chenhui Yao:
LSTM-MFCN: A time series classifier based on multi-scale spatial-temporal features. Comput. Commun. 182: 52-59 (2022) - [j21]Ruixin Ma, Fangqing Guo, Zeyang Li, Liang Zhao:
Knowledge Graph Random Neural Networks for Recommender Systems. Expert Syst. Appl. 201: 117120 (2022) - [j20]Dan Lin, Jianzhe Lin, Liang Zhao, Z. Jane Wang, Zhikui Chen:
Multilabel Aerial Image Classification With a Concept Attention Graph Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j19]Dan Lin, Jianzhe Lin, Liang Zhao, Zhen Wang, Zhikui Chen:
Multilabel Aerial Image Classification With Unsupervised Domain Adaptation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c16]Liang Zhao, Yu Shao, Chaoran Jia, Jiajun Ma:
Time-series lung cancer CT dataset. BIBM 2022: 3914-3915 - [c15]Zhikui Chen, Liang Zhao, Qiucen Li, Xin Song, Jianing Zhang:
Multimodal Data Fusion. Honoring Professor Mohammad S. Obaidat 2022: 53-91 - [c14]Liang Zhao, Xiaoyuan Li, Chunjiang Fu, Zhikui Chen:
Image Attribute Modification Based on Text Guidance. CWSN 2022: 200-211 - [c13]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: 3-17 - [c12]Dan Lin, Zhikui Chen, Liang Zhao, Kai Wang:
Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs. ICIP 2022: 121-125 - [c11]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: 201-213 - 2021
- [j18]Ruixin Ma, Zeyang Li, Fangqing Guo, Liang Zhao:
Hybrid attention mechanism for few-shot relational learning of knowledge graphs. IET Comput. Vis. 15(8): 561-572 (2021) - [j17]Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen:
Incremental multi-view correlated feature learning based on non-negative matrix factorisation. IET Comput. Vis. 15(8): 573-591 (2021) - [j16]Liang Zhao, Jie Zhang, Qiuhao Wang, Zhikui Chen:
Dual Alignment Self-Supervised Incomplete Multi-View Subspace Clustering Network. IEEE Signal Process. Lett. 28: 2122-2126 (2021) - [j15]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): 1486-1496 (2021) - [c10]Liang Zhao, Xinwei Li, Pingda Huang, Zhikui Chen, Yanqi Dai, Tianyu Li:
TRGAN: Text to Image Generation Through Optimizing Initial Image. ICONIP (5) 2021: 651-658 - 2020
- [j14]Jianzhe Lin, Liang Zhao, Qi Wang, Rabab Ward, Z. Jane Wang:
DT-LET: Deep transfer learning by exploring where to transfer. Neurocomputing 390: 99-107 (2020) - [j13]Liang Zhao, Tianyang Zhao, Tingting Sun, Zhuo Liu, Zhikui Chen:
Multi-View Robust Feature Learning for Data Clustering. IEEE Signal Process. Lett. 27: 1750-1754 (2020)
2010 – 2019
- 2019
- [j12]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: 523-530 (2019) - [j11]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): 29-38 (2019) - [j10]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): 728-738 (2019) - [j9]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): 9:1-9:21 (2019) - 2018
- [j8]Liang Zhao, Zhikui Chen, Yi Yang, Z. Jane Wang, Victor C. M. Leung:
Incomplete multi-view clustering via deep semantic mapping. Neurocomputing 275: 1053-1062 (2018) - [j7]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): 1610-1620 (2018) - [j6]Liang Zhao, Zhikui Chen, Z. Jane Wang:
Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering. IEEE Signal Process. Lett. 25(1): 60-64 (2018) - [j5]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): 4048-4062 (2018) - [j4]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): 164-176 (2018) - [c9]Qiucen Li, Fangming Zhong, Liang Zhao:
Adaptive Multimodal Hypergraph Learning for Image Classification. HPCC/SmartCity/DSS 2018: 252-257 - [c8]Zhikui Chen, Xiru Qiu, Liang Zhao, Jianing Du:
Dual Graph-Regularized Multi-view Feature Learning. HPCC/SmartCity/DSS 2018: 266-273 - [c7]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: 126-131 - 2017
- [j3]Liang Zhao, Zhikui Chen, Yi Yang:
Parameter-Free Incremental Co-Clustering for Multi-Modal Data in Cyber-Physical-Social Systems. IEEE Access 5: 21852-21861 (2017) - [j2]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: 82-89 (2017) - [j1]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): 1193-1201 (2017) - [c6]Liang Zhao, Zhikui Chen, Yi Yang:
Incremental CFS clustering on large data. GlobalSIP 2017: 687-690 - 2016
- [c5]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: 537-543 - 2015
- [c4]Liang Zhao, Zhikui Chen, Zhennan Yang, Yueming Hu:
A Hybrid Method for Incomplete Data Imputation. HPCC/CSS/ICESS 2015: 1725-1730 - 2013
- [c3]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: 476-480 - [c2]Qingchen Zhang, Zhikui Chen, Liang Zhao:
Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud. WAIM Workshops 2013: 165-174 - 2012
- [c1]Weiyuan Sun, Xing Chen, Fangyi Liu, Liang Zhao:
Collection System for Pressure Information of Buildings Based on the IoT and CAN Bus. CyberC 2012: 274-277
Coauthor Index
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