Collection System for Pressure Information of Buildings Based on the IoT and CAN Bus. - Weiyuan Sun; Xing Chen; Fangyi Liu; Liang Zhao 005 (CyberC, 2012)

A Universal Storage Architecture for Big Data in Cloud Environment. - Qingchen Zhang 001; Zhikui Chen; Ailing Lv; Liang Zhao 005; Fangyi Liu; Jian Zou (GreenCom/iThings/CPScom, 2013)

Multi-node Scheduling Algorithm Based on Clustering Analysis and Data Partitioning in Emergency Management Cloud. - Qingchen Zhang 001; Zhikui Chen; Liang Zhao 005 (WAIM Workshops, 2013)

A Hybrid Method for Incomplete Data Imputation. - Liang Zhao 005; Zhikui Chen; Zhennan Yang; Yueming Hu 001 (HPCC/CSS/ICESS, 2015)

ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm. - Jing Gao 007; Liang Zhao 005; Zhikui Chen; Peng Li 027; Han Xu; Yueming Hu 001 (DASC/PiCom/DataCom/CyberSciTech, 2016)

Incremental CFS clustering on large data. - Liang Zhao 005; Zhikui Chen; Yi Yang 006 (GlobalSIP, 2017)

Parameter-Free Incremental Co-Clustering for Multi-Modal Data in Cyber-Physical-Social Systems. - Liang Zhao 005; Zhikui Chen; Yi Yang 006 (IEEE Access, 2017)

A privacy-preserving high-order neuro-fuzzy c-means algorithm with cloud computing. - Peng Li 027; Zhikui Chen; Laurence T. Yang; Liang Zhao 005; Qingchen Zhang 001 (Neurocomputing, 2017)

An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things. - Qingchen Zhang 001; Chunsheng Zhu; Laurence T. Yang; Zhikui Chen; Liang Zhao 005; Peng Li 027 (IEEE Trans. Ind. Informatics, 2017)

Dual Graph-Regularized Multi-view Feature Learning. - Zhikui Chen; Xiru Qiu; Liang Zhao 005; Jianing Du (HPCC/SmartCity/DSS, 2018)

Adaptive Multimodal Hypergraph Learning for Image Classification. - Qiucen Li; Fangming Zhong; Liang Zhao 005 (HPCC/SmartCity/DSS, 2018)

A New Deep Transfer Learning Model for Judicial Data Classification. - Guohua Liu; Zhihong Ying; Liang Zhao 005; Xu Yuan 002; Zhikui Chen (iThings/GreenCom/CPSCom/SmartData, 2018)

Incomplete multi-view clustering via deep semantic mapping. - Liang Zhao 005; Zhikui Chen; Yi Yang 006; Z. Jane Wang 001; Victor C. M. Leung (Neurocomputing, 2018)

Local Similarity Imputation Based on Fast Clustering for Incomplete Data in Cyber-Physical Systems. - Liang Zhao 005; Zhikui Chen; Zhennan Yang; Yueming Hu 001; Mohammad S. Obaidat (IEEE Syst. J., 2018)

Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering. - Liang Zhao 005; Zhikui Chen; Z. Jane Wang 001 (IEEE Signal Process. Lett., 2018)

Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification. - Jianzhe Lin; Liang Zhao 005; Shuying Li; Rabab K. Ward; Z. Jane Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Distributed Feature Selection for Efficient Economic Big Data Analysis. - Liang Zhao 005; Zhikui Chen; Yueming Hu 001; Geyong Min; Zhaohua Jiang (IEEE Trans. Big Data, 2018)

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 005; Chengsheng Hu (Future Gener. Comput. Syst., 2019)

Robust and graph regularised non-negative matrix factorisation for heterogeneous co-transfer clustering. - Yu Ma; Zhikui Chen; Xiru Qiu; Liang Zhao 005 (Int. J. Comput. Sci. Eng., 2019)

ICFS Clustering With Multiple Representatives for Large Data. - Liang Zhao 005; Zhikui Chen; Yi Yang 006; Liang Zou; Z. Jane Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data. - Liang Zhao 005; Zhikui Chen; Laurence T. Yang; M. Jamal Deen; Z. Jane Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2019)

DT-LET: Deep transfer learning by exploring where to transfer. - Jianzhe Lin; Liang Zhao 005; Qi Wang 009; Rabab Ward; Z. Jane Wang 001 (Neurocomputing, 2020)

Multi-View Robust Feature Learning for Data Clustering. - Liang Zhao 005; Tianyang Zhao; Tingting Sun; Zhuo Liu; Zhikui Chen (IEEE Signal Process. Lett., 2020)

TRGAN: Text to Image Generation Through Optimizing Initial Image. - Liang Zhao 005; Xinwei Li; Pingda Huang; Zhikui Chen; Yanqi Dai; Tianyu Li (ICONIP (5), 2021)

Hybrid attention mechanism for few-shot relational learning of knowledge graphs. - Ruixin Ma; Zeyang Li; Fangqing Guo; Liang Zhao 005 (IET Comput. Vis., 2021)

Incremental multi-view correlated feature learning based on non-negative matrix factorisation. - Liang Zhao 005; Tao Yang; Jie Zhang 085; Zhikui Chen (IET Comput. Vis., 2021)

Dual Alignment Self-Supervised Incomplete Multi-View Subspace Clustering Network. - Liang Zhao 005; Jie Zhang 085; Qiuhao Wang; Zhikui Chen (IEEE Signal Process. Lett., 2021)

Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data. - Liang Zhao 005; Tao Yang; Jie Zhang 085; Zhikui Chen; Yi Yang 006; Z. Jane Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Predicting The Likelihood of Patients Developing Sepsis Based on Compound Ensemble Learning. - Liang Zhao 005; Rui Lin; Zhuo Liu; Hong Yuan (BIBM, 2022)

Time-series lung cancer CT dataset. - Liang Zhao 005; Yu Shao; Chaoran Jia; Jiajun Ma (BIBM, 2022)

Multimodal Data Fusion. - Zhikui Chen; Liang Zhao 005; Qiucen Li; Xin Song; Jianing Zhang (Honoring Professor Mohammad S. Obaidat, 2022)

Image Attribute Modification Based on Text Guidance. - Liang Zhao 005; Xiaoyuan Li; Chunjiang Fu; Zhikui Chen (CWSN, 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 005 (ICCSE (1), 2022)

Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs. - Dan Lin 008; Zhikui Chen; Liang Zhao 005; Kai Wang 057 (ICIP, 2022)

Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation. - Ruixin Ma; Guangyue Lv; Liang Zhao 005; Yunlong Ma; Hongyan Zhang; Xiaobin Liu (KSEM (1), 2022)

Incomplete multi-view clustering based on weighted sparse and low rank representation. - Liang Zhao 005; Jie Zhang 085; Tao Yang; Zhikui Chen (Appl. Intell., 2022)

LSTM-MFCN: A time series classifier based on multi-scale spatial-temporal features. - Liang Zhao 005; Chunyang Mo; Jiajun Ma; Zhikui Chen; Chenhui Yao (Comput. Commun., 2022)

Knowledge Graph Random Neural Networks for Recommender Systems. - Ruixin Ma; Fangqing Guo; Zeyang Li; Liang Zhao 005 (Expert Syst. Appl., 2022)

Multilabel Aerial Image Classification With a Concept Attention Graph Neural Network. - Dan Lin 008; Jianzhe Lin; Liang Zhao 005; Z. Jane Wang 001; Zhikui Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

Multilabel Aerial Image Classification With Unsupervised Domain Adaptation. - Dan Lin 008; Jianzhe Lin; Liang Zhao 005; Zhen Wang 029; Zhikui Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

Predicting Chronic Obstructive Pulmonary Disease Based on Multi-Stage Composite Ensemble Learning Framework. - Zhanxin Gang; Chaoran Jia; Chenhua Guo; Peng Li 027; Jing Gao 007; Liang Zhao 005 (BIBM, 2023)

Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal Fusion. - Liang Zhao 005; Chaoran Jia; Yu Shao; Zhanxin Gang; Rui Lin; Ruixin Ma (BIBM, 2023)

Soft Tissue Sarcoma Segmentation Network Based on Ensemble Learning. - Liang Zhao 005; Yu Shao; Zhanxin Gang; Chenhua Guo; Jing Gao 007; Yihan Chen (BIBM, 2023)

Soft Tissue Sarcoma Segmentation Network Based on Self-supervised Learning. - Liang Zhao 005; Yu Shao; Zhanxin Gang; Chaoran Jia; Yihan Chen; Yi Yang 006 (BIBM, 2023)

Multi-View Graph Regularized Deep Autoencoder-Like NMF Framework. - Liang Zhao 005; Zihao Wang; Ziyue Wang; Zhikui Chen (ICASSP, 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 005 (ICPADS, 2023)

MVCIR-net: Multi-view Clustering Information Reinforcement Network. - Shaokui Gu; Xu Yuan 002; Liang Zhao 005; Zhenjiao Liu; Yan Hu; Zhikui Chen (ACM Multimedia, 2023)

One-shot relational learning for extrapolation reasoning on temporal knowledge graphs. - Ruixin Ma; Biao Mei; Yunlong Ma; Hongyan Zhang; Meihong Liu; Liang Zhao 005 (Data Min. Knowl. Discov., 2023)

PANC: Prototype Augmented Neighbor Constraint instance completion in knowledge graphs. - Ruixin Ma; Yunlong Ma; Hongyan Zhang; Biao Mei; Guangyue Lv; Liang Zhao 005 (Expert Syst. Appl., 2023)

Incomplete Multi-View Clustering With Complete View Guidance. - Zhikui Chen; Yue Li 050; Kai Lou; Liang Zhao 005 (IEEE Signal Process. Lett., 2023)

Mining Multi-View Clustering Space With Interpretable Space Search Constraint. - Xu Yuan 002; Shaokui Gu; Zhenjiao Liu; Liang Zhao 005 (IEEE Signal Process. Lett., 2023)

Deep probability multi-view feature learning for data clustering. - Liang Zhao 005; Xiao Wang; Zhenjiao Liu; Hong Yuan; Jingyuan Zhao; Shuang Zhou (Expert Syst. Appl., 2023)

IMC-NLT: Incomplete multi-view clustering by NMF and low-rank tensor. - Zhenjiao Liu; Zhikui Chen; Yue Li 050; Liang Zhao 005; Tao Yang; Reza Farahbakhsh; Noël Crespi; Xiaodi Huang (Expert Syst. Appl., 2023)

Construction of Simulated 3D CT from Multiple-View X-ray Images. - Liang Zhao 005; Xiaoyuan Li; Sijia Hou; Xin Fan; Zhikui Chen; Shuqiong Wu (BIBM, 2024)

Rod Pumping System Fault Diagnosis Based on Multi-Model Ensemble Method. - Chenyu Tian; Rui Lin; Liang Zhao 005 (ICNSC, 2024)

Generating Multimodal Metaphorical Features for Meme Understanding. - Bo Xu 008; Junzhe Zheng; Jiayuan He 002; Yuxuan Sun; Hongfei Lin; Liang Zhao 005; Feng Xia 001 (ACM Multimedia, 2024)

GLSEC: Global and local semantic-enhanced contrastive framework for knowledge graph completion. - Ruixin Ma; Xiaoru Wang; Cunxi Cao; Xiya Bu; Hao Wu; Liang Zhao 005 (Expert Syst. Appl., 2024)

Knowledge graph fine-grained network with attribute transfer for recommendation. - Xu Yuan 002; Zixuan Chen; Xiya Bu; Zhengnan Gao; Liang Zhao 005; Ruixin Ma (Expert Syst. Appl., 2024)

Multimodal Fusion Generative Adversarial Network for Image Synthesis. - Liang Zhao 005; Qinghao Hu 003; Xiaoyuan Li; Jingyuan Zhao (IEEE Signal Process. Lett., 2024)

Distribution-Level Multi-View Clustering for Unaligned Data. - Liang Zhao 005; Qiongjie Xie (IEEE Signal Process. Lett., 2024)

Multi-Sentence Complementarily Generation for Text-to-Image Synthesis. - Liang Zhao 005; Pingda Huang; Tengtuo Chen; Chunjiang Fu; Qinghao Hu 003; Yangqianhui Zhang (IEEE Trans. Multim., 2024)

Joint long and short span self-attention network for multi-view classification. - Zhikui Chen; Kai Lou; Zhenjiao Liu; Yue Li 050; Yiming Luo; Liang Zhao 005 (Expert Syst. Appl., 2024)

Knowledge graph preference migration network for recommendation. - Ruixin Ma; Xiya Bu; Zixuan Chen; Huinan Wu; Yunlong Ma; Liang Zhao 005 (Expert Syst. Appl., 2024)

Multi-view semantic enhancement model for few-shot knowledge graph completion. - Ruixin Ma; Hao Wu; Xiaoru Wang; Weihe Wang; Yunlong Ma; Liang Zhao 005 (Expert Syst. Appl., 2024)

CCIM-SLR: Incomplete multiview co-clustering by sparse low-rank representation. - Zhenjiao Liu; Zhikui Chen; Kai Lou; Praboda Rajapaksha; Liang Zhao 005; Noël Crespi; Xiaodi Huang (Multim. Tools Appl., 2024)

Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion. - Liang Zhao 005; Ziyue Wang; Xiao Wang; Zhikui Chen; Bo Xu 008 (AAAI, 2025)

Historical Trends and Normalizing Flow for One-shot Temporal Knowledge Graph Reasoning. - Ruixin Ma; Longfei Wang; Huinan Wu; Buyun Gao; Xiaoru Wang; Liang Zhao 005 (Expert Syst. Appl., 2025)

TFE-HMM: Combining state transitions and price trends for stock price forecasting. - Xu Yuan 002; Yi Guo; Shaokui Gu; Jiaqiang Wang; Ange Qi; Shijin Li; Liang Zhao 005 (Expert Syst. Appl., 2025)

MHEC: One-shot relational learning of knowledge graphs completion based on multi-hop information enhancement. - Ruixin Ma; Buyun Gao; Weihe Wang; Longfei Wang; Xiaoru Wang; Liang Zhao 005 (Neurocomputing, 2025)

Normalizing flow-enhanced Gaussian embedding for few-shot knowledge graph completion. - Xu Yuan 002; Long Chen; Jiaqiang Wang; Yi Guo; Zhengnan Gao; Liang Zhao 005 (Knowl. Based Syst., 2025)

Cross-modal feature alignment and fusion with contrastive learning in multimodal recommendation. - Xu Yuan 002; Ange Qi; Huinan Wu; Jiaqiang Wang; Yi Guo; Shijin Li; Liang Zhao 005 (Knowl. Based Syst., 2025)

Learnable Graph Guided Deep Multi-View Representation Learning via Information Bottleneck. - Liang Zhao 005; Xiao Wang; Zhenjiao Liu; Ziyue Wang; Zhikui Chen (IEEE Trans. Circuits Syst. Video Technol., 2025)

Dynamic Graph Guided Progressive Partial View-Aligned Clustering. - Liang Zhao 005; Qiongjie Xie; Zhengtao Li; Songtao Wu; Yi Yang 006 (IEEE Trans. Neural Networks Learn. Syst., 2025)