Yuwei Cao

Orcid: 0000-0001-6579-3441

According to our database1, Yuwei Cao authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Almost automorphic solutions in distribution for octonion-valued stochastic recurrent neural networks with time-varying delays.
Int. J. Syst. Sci., January, 2024

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., 2023

Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages.
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

LLMRec: Benchmarking Large Language Models on Recommendation Task.
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

Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation.
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

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Multi-information Source HIN for Medical Concept Embedding.
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


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