Lei Zhou

Orcid: 0000-0003-0860-0724

Affiliations:

Beihang University, School of Computer Science and Engineering, Beijing, China

According to our database¹, Lei Zhou authored at least 24 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Attribute subspaces for zero-shot learning.

[BibT_eX]

[DOI]

Pattern Recognit., December, 2023

Information bottleneck and selective noise supervision for zero-shot learning.

[BibT_eX]

[DOI]

Mach. Learn., July, 2023

Aerial image recognition in discriminative bi-transformer.

[BibT_eX]

[DOI]

Signal Process., June, 2023

Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds.

[BibT_eX]

[DOI]

CoRR, 2023

KTR2DN: Knowledge Transfer with Residual in Residual Dehazing Network.

[BibT_eX]

[DOI]

Proceedings of the 2023 7th International Conference on Control Engineering and Artificial Intelligence, 2023

2022

Learning multi-view visual correspondences with self-supervision.

[BibT_eX]

[DOI]

Displays, 2022

Learning Prototype via Placeholder for Zero-shot Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

2021

Relation-Aware Reasoning with Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 11th International Conference, 2021

Goal-Oriented Gaze Estimation for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Learning binary code for fast nearest subspace search.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Fast Subspace Clustering Based on the Kronecker Product.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Matrix Classifier On Dynamic Functional Connectivity For Mci Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Deep supervised hashing using symmetric relative entropy.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Latent Distribution Preserving Deep Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hyperspectral Image Classification Based on Non-Local Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression.

[BibT_eX]

[DOI]

CoRR, 2018

Fast Subspace Clustering Based on the Kronecker Product.

[BibT_eX]

[DOI]

CoRR, 2018

Iterative Deep Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Deep Supervised Hashing with Information Loss.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Binary Coding by Matrix Classifier for Efficient Subspace Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Lei Zhou

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