Items where Author is "Yang, Liang"

[up]

Group by: Item Type | Uncontrolled Keywords | No Grouping

clustering community detection Fluid-structure interaction hydrodynamics Immerse boundary ISPM Level sets multi-component NMF orderly embedding semi-supervised learning subspace clustering Unified one-fluid formulation unsupervised learning

Number of items: 14.

clustering

Wang, Jing, Tian, Feng, Wang, Xiao, Yu, Hongchuan, Liu, Chang Hong and Yang, Liang (2017) Multi-component nonnegative matrix factorization. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, pp. 2922-2928. ISBN 978-0999241103 (doi:10.24963/ijcai.2017/407)

community detection

Yang, Liang, Ge, Meng, Jin, Di, He, Dongxiao, Fu, Huazhu, Wang, Jing and Cao, Xiaochun (2017) Exploring the roles of cannot-link constraint in community detection via multi-variance mixed Gaussian generative model. PLoS One, 12 (7):e0178029. ISSN 1932-6203 (Online) (doi:10.1371/journal.pone.0178029)

Fluid-structure interaction

Yang, Liang, Gil, Antonio J., Carreño, Aurelio Arranz and Bonet, Javier ORCID: https://orcid.org/0000-0002-0430-5181 (2017) Unified one-fluid formulation for incompressible flexible solids and multiphase flows: Application to hydrodynamics using the immersed structural potential method (ISPM). International Journal for Numerical Methods in Fluids. ISSN 0271-2091 (Print), 1097-0363 (Online) (doi:10.1002/fld.4408)

hydrodynamics

Yang, Liang, Gil, Antonio J., Carreño, Aurelio Arranz and Bonet, Javier ORCID: https://orcid.org/0000-0002-0430-5181 (2017) Unified one-fluid formulation for incompressible flexible solids and multiphase flows: Application to hydrodynamics using the immersed structural potential method (ISPM). International Journal for Numerical Methods in Fluids. ISSN 0271-2091 (Print), 1097-0363 (Online) (doi:10.1002/fld.4408)

Immerse boundary

Yang, Liang, Gil, Antonio J., Carreño, Aurelio Arranz and Bonet, Javier ORCID: https://orcid.org/0000-0002-0430-5181 (2017) Unified one-fluid formulation for incompressible flexible solids and multiphase flows: Application to hydrodynamics using the immersed structural potential method (ISPM). International Journal for Numerical Methods in Fluids. ISSN 0271-2091 (Print), 1097-0363 (Online) (doi:10.1002/fld.4408)

ISPM

Yang, Liang, Gil, Antonio J., Carreño, Aurelio Arranz and Bonet, Javier ORCID: https://orcid.org/0000-0002-0430-5181 (2017) Unified one-fluid formulation for incompressible flexible solids and multiphase flows: Application to hydrodynamics using the immersed structural potential method (ISPM). International Journal for Numerical Methods in Fluids. ISSN 0271-2091 (Print), 1097-0363 (Online) (doi:10.1002/fld.4408)

Level sets

Yang, Liang, Gil, Antonio J., Carreño, Aurelio Arranz and Bonet, Javier ORCID: https://orcid.org/0000-0002-0430-5181 (2017) Unified one-fluid formulation for incompressible flexible solids and multiphase flows: Application to hydrodynamics using the immersed structural potential method (ISPM). International Journal for Numerical Methods in Fluids. ISSN 0271-2091 (Print), 1097-0363 (Online) (doi:10.1002/fld.4408)

multi-component

Wang, Jing, Tian, Feng, Wang, Xiao, Yu, Hongchuan, Liu, Chang Hong and Yang, Liang (2017) Multi-component nonnegative matrix factorization. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, pp. 2922-2928. ISBN 978-0999241103 (doi:10.24963/ijcai.2017/407)

NMF

Wang, Jing, Tian, Feng, Wang, Xiao, Yu, Hongchuan, Liu, Chang Hong and Yang, Liang (2017) Multi-component nonnegative matrix factorization. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, pp. 2922-2928. ISBN 978-0999241103 (doi:10.24963/ijcai.2017/407)

orderly embedding

Wang, Jing, Suzuki, Atsushi, Xu, Linchuan, Tian, Feng, Yang, Liang and Yamanishi, Kenji (2019) Orderly subspace clustering. In: Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press, Palo Alto, California USA, pp. 5264-5272. ISBN 978-1577358091 ISSN 2159-5399 (Print), 2374-3468 (Online) (doi:10.1609/aaai.v33i01.33015264)

semi-supervised learning

Yang, Liang, Ge, Meng, Jin, Di, He, Dongxiao, Fu, Huazhu, Wang, Jing and Cao, Xiaochun (2017) Exploring the roles of cannot-link constraint in community detection via multi-variance mixed Gaussian generative model. PLoS One, 12 (7):e0178029. ISSN 1932-6203 (Online) (doi:10.1371/journal.pone.0178029)

subspace clustering

Wang, Jing, Suzuki, Atsushi, Xu, Linchuan, Tian, Feng, Yang, Liang and Yamanishi, Kenji (2019) Orderly subspace clustering. In: Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press, Palo Alto, California USA, pp. 5264-5272. ISBN 978-1577358091 ISSN 2159-5399 (Print), 2374-3468 (Online) (doi:10.1609/aaai.v33i01.33015264)

Unified one-fluid formulation

Yang, Liang, Gil, Antonio J., Carreño, Aurelio Arranz and Bonet, Javier ORCID: https://orcid.org/0000-0002-0430-5181 (2017) Unified one-fluid formulation for incompressible flexible solids and multiphase flows: Application to hydrodynamics using the immersed structural potential method (ISPM). International Journal for Numerical Methods in Fluids. ISSN 0271-2091 (Print), 1097-0363 (Online) (doi:10.1002/fld.4408)

unsupervised learning

Wang, Jing, Suzuki, Atsushi, Xu, Linchuan, Tian, Feng, Yang, Liang and Yamanishi, Kenji (2019) Orderly subspace clustering. In: Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press, Palo Alto, California USA, pp. 5264-5272. ISBN 978-1577358091 ISSN 2159-5399 (Print), 2374-3468 (Online) (doi:10.1609/aaai.v33i01.33015264)

This list was generated on Sat Dec 21 23:37:45 2024 UTC.