Yuchen Zheng

Orcid: 0000-0003-3093-6929

Affiliations:
  • Shihezi University, Shihezi, Xinjiang, China


According to our database1, Yuchen Zheng authored at least 32 papers between 2014 and 2025.

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

Timeline

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Bibliography

2025
BaAFN: A Boundary-Aware Attention Fusion Network for Remote Sensing Semantic Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

HTCSigNet: A Hybrid Transformer and Convolution Signature Network for offline signature verification.
Pattern Recognit., 2025

Fusing deep and hand-crafted features by deep canonically correlated contractive autoencoder for offline signature verification.
Pattern Recognit., 2025

AGFormer: An anchor-guided transformer for class imbalance in remote sensing change detection.
Pattern Recognit., 2025

Learning discriminative representations by a Canonical Correlation Analysis-based Siamese Network for offline signature verification.
Eng. Appl. Artif. Intell., 2025

SigLDiff: A Signature Based Latent Diffusion Model for Forged-Free Offline Signature Verification.
Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
GDSNet: A gated dual-stream convolutional neural network for automatic recognition of coseismic landslides.
Int. J. Appl. Earth Obs. Geoinformation, 2024

SLFRM: A Novel Signature Local Feature Reconstruction Module for Offline Signature Verification.
Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition, 2024

Discovering Optimal Subspaces in Deep Architectures for Offline Signature Verification.
Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition, 2024

2023
Capturing Small Objects and Edges Information for Cross-Sensor and Cross-Region Land Cover Semantic Segmentation in Arid Areas.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Deep Error-Correcting Output Codes.
Algorithms, 2023

Improving Out-of-Distribution Detection with Margin-Based Prototype Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

PMDA: Domain Alignment with Prototype Matching for Cross-Domain Adaptive Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
A transformer-based Siamese network and an open optical dataset for semantic change detection of remote sensing images.
Int. J. Digit. Earth, December, 2022

LDS-YOLO: A lightweight small object detection method for dead trees from shelter forest.
Comput. Electron. Agric., 2022

2021
Top-rank convolutional neural network and its application to medical image-based diagnosis.
Pattern Recognit., 2021

Learning the micro deformations by max-pooling for offline signature verification.
Pattern Recognit., 2021

Temporal Smoothness Framework: Analyzing and Exploring Evolutionary Transition Behavior in Dynamic Networks.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Multi-view Representation Learning with Deep Features for Offline Signature Verification.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

DCNMF: Dynamic Community Discovery with Improved Convex-NMF in Temporal Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

2020
Regularized Pooling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Mining the displacement of max-pooling for text recognition.
Pattern Recognit., 2019

Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models.
IEEE Access, 2019

RankSVM for Offline Signature Verification.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Capturing Micro Deformations from Pooling Layers for Offline Signature Verification.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Optimal Rejection Function Meets Character Recognition Tasks.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Discovering Class-Wise Trends of Max-Pooling in Subspace.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

2017
Marginal Deep Architectures.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2015
Is DeCAF Good Enough for Accurate Image Classification?
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Stretching deep architectures for text recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

2014
Visual Texture Perception with Feature Learning Models and Deep Architectures.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014


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