We stand with Ukraine

We stand with Ukraine

Yan Li

Orcid: 0000-0002-8403-7614

Affiliations:

East China Normal University, MOE Research Center for Software/Hardware Co-Design Engineering, Shanghai, China

According to our database¹, Yan Li authored at least 20 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

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PhD thesis

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Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2025

NLA-GNN: Non-local information aggregated graph neural network for heterogeneous graph embedding.

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Pattern Recognit., 2025

Potential Knowledge Extraction Network for Class-Incremental Learning.

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Neurocomputing, 2025

2024

FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning Using Broad Learning System.

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IEEE Trans. Circuits Syst. Video Technol., February, 2024

A Trustworthy Counterfactual Explanation Method With Latent Space Smoothing.

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IEEE Trans. Image Process., 2024

DDFL: Dual-Domain Feature Learning for nighttime semantic segmentation.

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Displays, 2024

2023

Master-CAM: Multi-scale fusion guided by Master map for high-quality class activation maps.

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Displays, January, 2023

When Source-Free Domain Adaptation Meets Label Propagation.

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CoRR, 2023

Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation.

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Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

AHU-MultiNet: Adaptive loss balancing based on homoscedastic uncertainty in multi-task medical image segmentation network.

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Comput. Biol. Medicine, 2022

PassAugment: Pass Nodes Importance in Graph Data Augmentation for Graph Classification.

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Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning.

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Proceedings of the International Joint Conference on Neural Networks, 2022

Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon.

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Proceedings of the International Joint Conference on Neural Networks, 2022

Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning.

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Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Modeling nodule growth via spatial transformation for follow-up prediction and diagnosis.

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Proceedings of the International Joint Conference on Neural Networks, 2021

Sample Efficient Lung Segmentation Using Group Structured Conditional Variational Data Imputation.

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Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Shape-aware Multi-task Learning for Semi-supervised 3D Medical Image Segmentation.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

DCFG: Discovering Directional CounterFactual Generation for Chest X-rays.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

LMDAPNet: A Novel Manifold-Based Deep Learning Network.

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IEEE Access, 2020

A Dynamic Group Equivariant Convolutional Networks for Medical Image Analysis.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Stacking-based deep neural network for Facial Expression Recognition.

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Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

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