Yuansan Liu

According to our database, Yuansan Liu authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting.

Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey

CoRR, 2024

Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces.

Yuansan Liu, Jeygopi Panisilvam, Peter Dower, Sejeong Kim, James Bailey

CoRR, 2024

Time Series Representation Learning with Supervised Contrastive Temporal Transformer.

Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey

CoRR, 2024

Time-Transformer: Integrating Local and Global Features for Better Time Series Generation.

Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023

Pandemic model with data-driven phase detection, a study using COVID-19 data.

Yuansan Liu, Saransh Srivastava, Zuo Huang, Felisa J. Vázquez-Abad

J. Oper. Res. Soc., February, 2023

2022

De Novo Molecular Generation with Stacked Adversarial Model.

Yuansan Liu, James Bailey

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022