We stand with Ukraine

We stand with Ukraine

Yuwei Cao

Orcid: 0000-0001-6579-3441

According to our database¹, Yuwei Cao authored at least 30 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Geo-Mamba: Geometry-informed state-space learning of functional brain organization.

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Medical Image Anal., 2026

Understanding Brain Functional Dynamics With Deep State-Space Modeling on Riemannian Manifold.

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Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Deep learning for 3D point cloud processing - from approaches, tasks to its implications on urban and environmental applications.

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CoRR, September, 2025

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems.

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Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs.

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Antoine Simoulin

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Julian J. McAuley

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DocAgent: A Multi-Agent System for Automated Code Documentation Generation.

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Antoine Simoulin

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024

Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.

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Int. J. Mach. Learn. Cybern., August, 2024

Almost automorphic solutions in distribution for octonion-valued stochastic recurrent neural networks with time-varying delays.

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Int. J. Syst. Sci., January, 2024

Manipulator based on Improved Photometric Stereo Reconstruction method.

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Mechatron. Syst. Control., 2024

Multi-Relational Structural Entropy.

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Proceedings of the Uncertainty in Artificial Intelligence, 2024

Aligning Large Language Models with Recommendation Knowledge.

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Raghunandan Hulikal Keshavan

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Maheswaran Sathiamoorthy

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation.

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Proceedings of the IEEE International Conference on Big Data, 2024

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.

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IEEE Trans. Knowl. Data Eng., 2023

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

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IEEE Trans. Pattern Anal. Mach. Intell., 2023

The dynamics of octonion-valued neutral type high-order Hopfield neural networks with <i>D</i> operator.

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J. Intell. Fuzzy Syst., 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.

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CoRR, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.

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CoRR, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.

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Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

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Proceedings of the IEEE International Conference on Big Data, 2023

2022

Edge computing-Based mobile object tracking in internet of things.

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High Confid. Comput., 2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.

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Tanay Kumar Saha

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Joel R. Tetreault

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CoRR, 2022

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction.

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Tanay Kumar Saha

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Joel R. Tetreault

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Alejandro Jaimes

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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.

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Mattia Previtali

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Luigi Barazzetti

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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.

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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.

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Francesco Fassi

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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.

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IEEE Access, 2021

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs.

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Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Multi-information Source HIN for Medical Concept Embedding.

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Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019

Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios.

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ISPRS Int. J. Geo Inf., 2019

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