Chengliang Liu - Concepedia

Author

Chengliang Liu

Harbin Institute of Technology ORCID

Also Known As

Cheng-Liang Liu, Chengliang LIU, Chengliang Liu, Hang Guo, LIU Chengliang, Liu, Chengliang, Yu, Kai, Zhao, Xuhao

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

Harbin Institute of Technology Peng Cheng Laboratory Guangdong University of Technology Sun Yat-sen University Shanghai Jiao Tong University

About

Chengliang Liu is an author at Harbin Institute of Technology specializing in engineering, data science, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	18	947
2	Business	2	2	80
3	Health Sciences	1	1	31
4	Management	1	1	23
5	Civil Engineering	1	1	59

Chengliang Liu

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Localized Sparse Incomplete Multi-View Clustering Chengliang Liu, Zhihao Wu, Jie Wen, IEEE Transactions on Multimedia	2022	140
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views Jie Wen, Chengliang Liu, Shijie Deng, IEEE Transactions on Neural Networks and Learning Systems Multiple Instance LearningEngineeringMachine LearningClassification ModuleImage Analysis	2023	106
Projective Incomplete Multi-View Clustering Shijie Deng, Jie Wen, Chengliang Liu, IEEE Transactions on Neural Networks and Learning Systems EngineeringMachine LearningGeometryIncomplete MvcUnsupervised Machine Learning	2023	96
Information Recovery-Driven Deep Incomplete Multiview Clustering Network Chengliang Liu, Jie Wen, Zhihao Wu, IEEE Transactions on Neural Networks and Learning Systems Geometric LearningEngineeringMachine LearningAutoencodersNetwork Analysis	2023	91
Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss Zhihao Wu, Chengliang Liu, Jie Wen, IEEE Transactions on Image Processing Multiple Instance LearningEngineeringMachine LearningObject CategorizationInstance Refinement	2022	67
Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer Chao Huang, Chengliang Liu, Jie Wen, IEEE Transactions on Cybernetics Multiple Instance LearningAnomaly DetectionMachine LearningEngineeringVideo Processing	2022	60
Featured temporal segmentation method and AdaBoost-BP detector for internal leakage evaluation of a hydraulic cylinder Li Lin, Yixiang Huang, Jianfeng Tao, Measurement Adaboost-bp DetectorImage AnalysisEngineeringPattern RecognitionHydraulic Cylinder	2018	59
Adaptive VMD and multi-stage stabilized transformer-based long-distance forecasting for multiple shield machine tunneling parameters Chengjin Qin, Guoqiang Huang, Honggan Yu, Automation in Construction Adaptive VmdEngineeringAerospace EngineeringSystems EngineeringModeling And Simulation	2024	59
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification Chengliang Liu, Jie Wen, Xiaoling Luo, Proceedings of the AAAI Conference on Artificial Intelligence Natural Language ProcessingConvolutional Neural NetworkMultiple Instance LearningImage AnalysisMachine Learning	2023	57
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers Chengliang Liu, Jie Wen, Xiaoling Luo, Proceedings of the AAAI Conference on Artificial Intelligence Multiple Instance LearningEngineeringMachine LearningRepresentation LearningNatural Language Processing	2023	55

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