Yuansan Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Stochastic Process

Global Features

Top Venues

J. Oper. Res. Soc.

Publications

Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting. CoRR (2024)
Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey
Time Series Representation Learning with Supervised Contrastive Temporal Transformer. CoRR (2024)
Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. SDM (2024)
Yuansan Liu, Jeygopi Panisilvam, Peter Dower, Sejeong Kim, James Bailey
Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces. CoRR (2024)
Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. CoRR (2023)
Yuansan Liu, Saransh Srivastava, Zuo Huang, Felisa J. Vázquez-Abad
Pandemic model with data-driven phase detection, a study using COVID-19 data. J. Oper. Res. Soc. 74 (2) (2023)
Yuansan Liu, James Bailey
De Novo Molecular Generation with Stacked Adversarial Model. AI (2022)
Yuansan Liu, Saransh Srivastava, Zuo Huang, Felisa J. Vázquez-Abad
Pandemic model with data-driven phase detection, a study using COVID-19 data. CoRR (2021)
Yuansan Liu, James Bailey
De Novo Molecular Generation with Stacked Adversarial Model. CoRR (2021)