Yan Li

According to our database, Yan Li authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Shuzhou Sun, Huali Xu, Yan Li, Ping Li, Bin Sheng, Xiao Lin

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

2023

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

Xuesheng Zhou, Yan Li, Guitao Cao, Wenming Cao

Displays, January, 2023

When Source-Free Domain Adaptation Meets Label Propagation.

Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang

CoRR, 2023

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

Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang

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.

Shasha Liu, Hailing Wang, Yan Li, Xiaohu Li, Guitao Cao, Wenming Cao

Comput. Biol. Medicine, 2022

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

Xiaohu Li, Yan Li, Shasha Liu, Guitao Cao, Wenming Cao

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

Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning.

Yong Liu, Chunwei Wu, Xidong Xi, Yan Li, Guitao Cao, Wenming Cao, Hong Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon.

Jinwei Liu, Yan Li, Guitao Cao, Yong Liu, Wenming Cao

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Shiyu Liu, Guitao Cao, Yong Liu, Yan Li, Chunwei Wu, Xidong Xi

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

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

Jiyu Sheng, Yan Li, Guitao Cao, Kai Hou

Proceedings of the International Joint Conference on Neural Networks, 2021

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

Yan Li, Guitao Cao, Wenming Cao

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

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

Shasha Liu, Yan Li, Xiaohu Li, Guitao Cao

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

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

Yan Li, Shasha Liu, Chunwei Wu, Xidong Xi, Guitao Cao, Wenming Cao

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

2020

LMDAPNet: A Novel Manifold-Based Deep Learning Network.

Yan Li, Guitao Cao, Wenming Cao

IEEE Access, 2020

A Dynamic Group Equivariant Convolutional Networks for Medical Image Analysis.

Yan Li, Guitao Cao, Wenming Cao

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

2019

Stacking-based deep neural network for Facial Expression Recognition.

Yan Li, Guitao Cao, Wenming Cao

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