Tianshu Xie

According to our database, Tianshu Xie authored at least 13 papers between 2021 and 2023.

Collaborative distances:

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

2023

Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning.

Minghui Liu, Meiyi Yang, Jiali Deng, Xuan Cheng, Tianshu Xie, Pan Deng, Haigang Gong, Ming Liu, Xiaomin Wang

Int. J. Comput. Intell. Syst., December, 2023

Multiple independent losses scheduling: A simple training method for deep neural networks.

Jiali Deng, Haigang Gong, Xiaomin Wang, Minghui Liu, Tianshu Xie, Xuan Cheng, Ming Liu, Wanqing Huang

Intell. Data Anal., 2023

Self-Supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning.

Tianshu Xie, Yuhang Yang, Zilin Ding, Xuan Cheng, Xiaomin Wang, Haigang Gong, Ming Liu

IEEE Access, 2023

2022

Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images.

Siying Chen, Minghui Liu, Pan Deng, Jiali Deng, Yi Yuan, Xuan Cheng, Tianshu Xie, Libo Xie, Wei Zhang, Haigang Gong, Xiaomin Wang, Lifeng Xu, Hong Pu, Ming Liu

IEEE J. Biomed. Health Informatics, 2022

CyclicShift: A Data Augmentation Method For Enriching Data Patterns.

Hui Lu, Xuan Cheng, Wentao Xia, Pan Deng, Minghui Liu, Tianshu Xie, Xiaomin Wang, Ming Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency.

Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu

CoRR, 2021

Feature Mining: A Novel Training Strategy for Convolutional Neural Network.

Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Ming Liu

CoRR, 2021

Go Small and Similar: A Simple Output Decay Brings Better Performance.

Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu

CoRR, 2021

White Paper Assistance: A Step Forward Beyond the Shortcut Learning.

Xuan Cheng, Tianshu Xie, Xiaomin Wang, Jiali Deng, Minghui Liu, Ming Liu

CoRR, 2021

FocusedDropout for Convolutional Neural Network.

Tianshu Xie, Minghui Liu, Jiali Deng, Xuan Cheng, Xiaomin Wang, Ming Liu

CoRR, 2021

Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions.

Xuan Cheng, Tianshu Xie, Xiaomin Wang, Qifeng Weng, Minghui Liu, Jiali Deng, Ming Liu

CoRR, 2021

Thumbnail: A Novel Data Augmentation for Convolutional Neural Network.

Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu

CoRR, 2021

Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network.

Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Tao Zhou, Ming Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021