Yan Li

24 papers A* 1A 1B 5Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A two-stage active cleaning strategy for long-tail label noise.
Neural Networks
Xiao Lin, Zeyu Rong, Yan Li, Qizhe Yang, Ping Li, Wei Huang
2026 J jnl
Dynamic patch-level contrastive learning for image dehazing.
Pattern Recognit.
Xiao Lin, Dongchen Zhang, Yan Li, Qizhe Yang, Ping Li, Wei Huang
2026 J jnl
Multiple weather degraded image restoration based on multi-component decomposition.
Pattern Recognit.
Xiao Lin, Yilin Chen, Duojiu Xu, Qizhe Yang, Yan Li, Wei Huang, Ping Li
2025 J jnl
NLA-GNN: Non-local information aggregated graph neural network for heterogeneous graph embedding.
Pattern Recognit.
Siheng Wang, Guitao Cao, Wenming Cao, Yan Li
2025 J jnl
Non-target feature filtering for weakly supervised semantic segmentation.
Complex Intell. Syst.
Xuesheng Zhou, Yan Li, Guitao Cao, Wenming Cao
2025 J jnl
Potential Knowledge Extraction Network for Class-Incremental Learning.
Neurocomputing
Xidong Xi, Guitao Cao, Wenming Cao, Yong Liu, Yan Li, Hong Wang, He Ren
2024 J jnl
A Trustworthy Counterfactual Explanation Method With Latent Space Smoothing.
IEEE Trans. Image Process.
Yan Li, Xia Cai, Chunwei Wu, Xiao Lin, Guitao Cao
2024 J jnl
DDFL: Dual-Domain Feature Learning for nighttime semantic segmentation.
Displays
Xiao Lin, Peiwen Tan, Zhengkai Wang, Lizhuang Ma, Yan Li
2024 J jnl
FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning Using Broad Learning System.
IEEE Trans. Circuits Syst. Video Technol.
Shuzhou Sun, Huali Xu, Yan Li, Ping Li, Bin Sheng, Xiao Lin
2023 A* conf
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation.
ACM Multimedia
Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang
2023 J jnl
Master-CAM: Multi-scale fusion guided by Master map for high-quality class activation maps.
Displays
Xuesheng Zhou, Yan Li, Guitao Cao, Wenming Cao
2023 J jnl
When Source-Free Domain Adaptation Meets Label Propagation.
CoRR
Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang
2022 J jnl
AHU-MultiNet: Adaptive loss balancing based on homoscedastic uncertainty in multi-task medical image segmentation network.
Comput. Biol. Medicine
Shasha Liu, Hailing Wang, Yan Li, Xiaohu Li, Guitao Cao, Wenming Cao
2022 B conf
Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning.
IJCNN
Yong Liu, Chunwei Wu, Xidong Xi, Yan Li, Guitao Cao, Wenming Cao, Hong Wang
2022 B conf
Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon.
IJCNN
Jinwei Liu, Yan Li, Guitao Cao, Yong Liu, Wenming Cao
2022 B conf
Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning.
IJCNN
Shiyu Liu, Guitao Cao, Yong Liu, Yan Li, Chunwei Wu, Xidong Xi
2022 B conf
PassAugment: Pass Nodes Importance in Graph Data Augmentation for Graph Classification.
SMC
Xiaohu Li, Yan Li, Shasha Liu, Guitao Cao, Wenming Cao
2021 — conf
DCFG: Discovering Directional CounterFactual Generation for Chest X-rays.
BIBM
Yan Li, Shasha Liu, Chunwei Wu, Xidong Xi, Guitao Cao, Wenming Cao
2021 B conf
Modeling nodule growth via spatial transformation for follow-up prediction and diagnosis.
IJCNN
Jiyu Sheng, Yan Li, Guitao Cao, Kai Hou
2021 A conf
Sample Efficient Lung Segmentation Using Group Structured Conditional Variational Data Imputation.
ICME
Yan Li, Guitao Cao, Wenming Cao
2021 — conf
Shape-aware Multi-task Learning for Semi-supervised 3D Medical Image Segmentation.
BIBM
Shasha Liu, Yan Li, Xiaohu Li, Guitao Cao
2020 — conf
A Dynamic Group Equivariant Convolutional Networks for Medical Image Analysis.
BIBM
Yan Li, Guitao Cao, Wenming Cao
2020 J jnl
LMDAPNet: A Novel Manifold-Based Deep Learning Network.
IEEE Access
Yan Li, Guitao Cao, Wenming Cao
2019 — conf
Stacking-based deep neural network for Facial Expression Recognition.
BIBM
Yan Li, Guitao Cao, Wenming Cao