Yusen He

According to our database, Yusen He authored at least 8 papers between 2017 and 2022.

Collaborative distances:

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

2022

Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems.

Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang

CoRR, 2022

2020

Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks.

Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek

J. Comput. Des. Eng., 2020

ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation.

Zhiyu Sun, Ethan Rooke, Jerome Charton, Yusen He, Jia Lu, Stephen Baek

Comput. Graph. Forum, 2020

2019

Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network.

Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Monitoring Wind Turbines' Unhealthy Status: A Data-Driven Approach.

Tinghui Ouyang, Yusen He, Heming Huang

IEEE Trans. Emerg. Top. Comput. Intell., 2019

What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival.

Stephen Baek, Yusen He, Bryan G. Allen, John M. Buatti, Brian J. Smith, Kristin A. Plichta, Steven N. Seyedin, Maggie Gannon, Katherine R. Cabel, Yusung Kim, Xiaodong Wu

CoRR, 2019

2017

A Deep Learning Framework for Short-term Power Load Forecasting.

Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek

CoRR, 2017

Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks.

Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek

CoRR, 2017