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)

A Deep Learning Framework for Short-term Power Load Forecasting. - Tinghui Ouyang; Yusen He; Huajin Li; Zhiyu Sun; Stephen Baek (CoRR, 2017)

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 003; Xiaodong Wu 001 (CoRR, 2019)

Monitoring Wind Turbines' Unhealthy Status: A Data-Driven Approach. - Tinghui Ouyang; Yusen He; Heming Huang (IEEE Trans. Emerg. Top. Comput. Intell., 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)

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)

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)

Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems. - Jirong Yi; Qiaosheng Zhang; Zhen Chen; Qiao Liu 008; Wei Shao; Yusen He; Yaohua Wang (CoRR, 2022)