Yuansan Liu

According to our database, Yuansan Liu authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Local Intrinsic Dimensionality of Ground Motion Data for Early Detection of Complex Catastrophic Slope Failure.

Yuansan Liu, Antoinette Tordesillas, James Bailey

CoRR, January, 2026

2025

Robust online drop detection for cochlear implant surgery.

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

Int. J. Data Sci. Anal., October, 2025

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

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Modeling Human Sequential Decision-Making in the Tower of London: Incorporating Individual Differences and Timing-Based Replanning Inference.

Chenyuan Zhang, Yuansan Liu, Dana Kulic, Pamela Carreno-Medrano, Michael G. Burke

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next.

Yuansan Liu, Sudanthi N. R. Wijewickrema, Bridget Copson, Jean-Marc Gerard, Sameer Antani

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024

Probabilistic and Neural Modelling for Time Series Analysis.

Yuansan Liu

PhD thesis, 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 M. Dower, Sejeong Kim, 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

Time Series Representation Learning with Supervised Contrastive Temporal Transformer.

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

Proceedings of the International Joint Conference on Neural Networks, 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