Yinfu Feng

Orcid: 0000-0001-9136-0965

According to our database¹, Yinfu Feng authored at least 26 papers between 2011 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2025

2024

FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search.

[BibT_eX]

[DOI]

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

2023

UHD Aerial Photograph Categorization by Leveraging Deep Multiattribute Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Decomposed Prototype Learning for Few-Shot Scene Graph Generation.

[BibT_eX]

[DOI]

CoRR, 2023

2022

DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Cross-Lingual Product Retrieval in E-Commerce Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2017

A human motion feature based on semi-supervised learning of GMM.

[BibT_eX]

[DOI]

Multim. Syst., 2017

2016

Fast view-based 3D model retrieval via unsupervised multiple feature fusion and online projection learning.

[BibT_eX]

[DOI]

Signal Process., 2016

Adaptive multi-view feature selection for human motion retrieval.

[BibT_eX]

[DOI]

Signal Process., 2016

A 3D human motion refinement method based on sparse motion bases selection.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computer Animation and Social Agents, 2016

2015

Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Sketch-based human motion retrieval via selected 2D geometric posture descriptor.

[BibT_eX]

[DOI]

Signal Process., 2015

Sparse motion bases selection for human motion denoising.

[BibT_eX]

[DOI]

Signal Process., 2015

Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval.

[BibT_eX]

[DOI]

Neurocomputing, 2015

A locally weighted sparse graph regularized Non-Negative Matrix Factorization method.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2014

Feature Correlation Hypergraph: Exploiting High-order Potentials for Multimodal Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Real-time motion data annotation via action string.

[BibT_eX]

[DOI]

Comput. Animat. Virtual Worlds, 2014

Human motion retrieval based on freehand sketch.

[BibT_eX]

[DOI]

Comput. Animat. Virtual Worlds, 2014

Exploiting temporal stability and low-rank structure for motion capture data refinement.

[BibT_eX]

[DOI]

Inf. Sci., 2014

2013

A semantic feature for human motion retrieval.

[BibT_eX]

[DOI]

Comput. Animat. Virtual Worlds, 2013

2012

Active learning for social image retrieval using Locally Regressive Optimal Design.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Predicting missing markers in human motion capture using <i>l</i>1-sparse representation.

[BibT_eX]

[DOI]

Jun Xiao

Yinfu Feng

Wenyuan Hu

Comput. Animat. Virtual Worlds, 2011

Yinfu Feng

Timeline

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