Yuwei Cao
Orcid: 0000-0003-1803-1406
According to our database1,
Yuwei Cao
authored at least 22 papers
between 2019 and 2024.
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Bibliography
2024
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.
Int. J. Mach. Learn. Cybern., August, 2024
Almost automorphic solutions in distribution for octonion-valued stochastic recurrent neural networks with time-varying delays.
Int. J. Syst. Sci., January, 2024
Mechatron. Syst. Control., 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
The dynamics of octonion-valued neutral type high-order Hopfield neural networks with <i>D</i> operator.
J. Intell. Fuzzy Syst., 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
CoRR, 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
CoRR, 2022
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Integration of Point Clouds from 360° Videos and Deep Learning Techniques for Rapid Documentation and Classification in Historical City Centers.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
A Comprehensive Understanding of Machine Learning and Deep Learning Methods for 3D Architectural Cultural Heritage Point Cloud Semantic Segmentation.
Proceedings of the Geomatics for Green and Digital Transition - 25th Italian Conference, 2022
2021
Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method.
IEEE Access, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
2019
Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios.
ISPRS Int. J. Geo Inf., 2019