Yun Liang

According to our database, Yun Liang authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

Self-paced resistance learning against overfitting on noisy labels.

Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu

Pattern Recognit., 2023

2021

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks.

Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo

IEEE Trans. Image Process., 2021

Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion.

Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader

Neurocomputing, 2021

Self-paced Resistance Learning against Overfitting on Noisy Labels.

Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu

CoRR, 2021

2020

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis.

Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang

Medical Image Anal., 2020

Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing.

Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Lin Yang

Int. J. Comput. Vis., 2020

Interactive thyroid whole slide image diagnostic system using deep representation.

Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader

Comput. Methods Programs Biomed., 2020

2019

Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration.

Yao Xiao, Skylar E. Stolte, Peng Liu, Yun Liang, Pina C. Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019