Lingyu Si

According to our database1, Lingyu Si authored at least 29 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation.
Knowl. Based Syst., January, 2024

A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Improving SAR Automatic Target Recognition via Trusted Knowledge Distillation From Simulated Data.
IEEE Trans. Geosci. Remote. Sens., 2024

A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

End-To-End Underwater Video Enhancement: Dataset and Model.
CoRR, 2024

FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models.
CoRR, 2024

Self-Supervised Representation Learning with Meta Comprehensive Regularization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Rethinking Causal Relationships Learning in Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification.
Remote. Sens., April, 2023

UIEDP: Underwater Image Enhancement with Diffusion Prior.
CoRR, 2023

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification.
CoRR, 2023

Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models.
CoRR, 2023

Background Debiased SAR Target Recognition via Causal Interventional Regularizer.
CoRR, 2023

Learning to Sample Tasks for Meta Learning.
CoRR, 2023

A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning.
CoRR, 2023

Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective.
CoRR, 2023

Timestamp-Supervised Action Segmentation from the Perspective of Clustering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Do We Really Need Temporal Convolutions in Action Segmentation?
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Robust Causal Graph Representation Learning against Confounding Effects.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Multi-view representation learning from local consistency and global alignment.
Neurocomputing, 2022

Timestamp-Supervised Action Segmentation in the Perspective of Clustering.
CoRR, 2022

Efficient U-Transformer with Boundary-Aware Loss for Action Segmentation.
CoRR, 2022

Bootstrapping Informative Graph Augmentation via A Meta Learning Approach.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Convolutional Transformer with Similarity-based Boundary Prediction for Action Segmentation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

SimViT: Exploring a Simple Vision Transformer with Sliding Windows.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Self-supervised Representation Learning for the Object Detection of Marine Radar.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2021
Self-supervised Visual Representation Learning for Fine-Grained Ship Detection.
Proceedings of the 4th International Conference on Information Systems and Computer Aided Education, 2021

A New Siamese Co-attention Network for Unsupervised Video Object Segmentation.
Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021


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