Yusen He

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Long Term Memory

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

J. Comput. Des. Eng.

Comput. Graph. Forum

Publications

Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems. CoRR (2022)
Zhiyu Sun, Ethan Rooke, Jerome Charton, Yusen He, Jia Lu, Stephen Baek
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation. Comput. Graph. Forum 39 (6) (2020)
Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks. J. Comput. Des. Eng. 7 (1) (2020)
Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek
Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network. IEEE Trans. Emerg. Top. Comput. Intell. 3 (2) (2019)
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
What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival. CoRR (2019)
Tinghui Ouyang, Yusen He, Heming Huang
Monitoring Wind Turbines' Unhealthy Status: A Data-Driven Approach. IEEE Trans. Emerg. Top. Comput. Intell. 3 (2) (2019)
Zhiyu Sun, Yusen He, Andrey Gritsenko, Amaury Lendasse, Stephen Baek
Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks. CoRR (2017)
Tinghui Ouyang, Yusen He, Huajin Li, Zhiyu Sun, Stephen Baek
A Deep Learning Framework for Short-term Power Load Forecasting. CoRR (2017)