activity
20192022
most citedResidual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

187 citations · 197 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SP2022

Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus

Yun Li, Zhe Liu, Lina Yao +3

With the development of digital technology, machine learning has paved the way for the next generation of tinnitus diagnoses. Although machine learning has been widely applied in E…

cs.IR20221 cited

Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation

Siyu Wang, Xiaocong Chen, Lina Yao

Interactive recommendation is able to learn from the interactive processes between users and systems to confront the dynamic interests of users. Recent advances have convinced that…

eess.IV20219 cited

Generative Adversarial U-Net for Domain-free Medical Image Augmentation

Xiaocong Chen, Yun Li, Lina Yao +2

The shortage of annotated medical images is one of the biggest challenges in the field of medical image computing. Without a sufficient number of training samples, deep learning ba…

eess.IV2020

Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images

Xiaocong Chen, Lina Yao, Tao Zhou +2

The current pandemic, caused by the outbreak of a novel coronavirus (COVID-19) in December 2019, has led to a global emergency that has significantly impacted economies, healthcare…

eess.IV2020187 cited

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

Xiaocong Chen, Lina Yao, Yu Zhang

The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly around the world and caused significant impact on the public health and economy. However, there is still la…

cs.LG2019

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning

Xiang Zhang, Xiaocong Chen, Lina Yao +2

Deep learning algorithms have achieved excellent performance lately in a wide range of fields (e.g., computer version). However, a severe challenge faced by deep learning is the hi…