Yuansan Liu

16 papers A 1B 3Misc 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Local Intrinsic Dimensionality of Ground Motion Data for Early Detection of Complex Catastrophic Slope Failure.
CoRR
Yuansan Liu, Antoinette Tordesillas, James Bailey
2025 B conf
Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next.
CBMS
Yuansan Liu, Sudanthi N. R. Wijewickrema, Bridget Copson, Jean-Marc Gerard, Sameer Antani
2025 B conf
Modeling Human Sequential Decision-Making in the Tower of London: Incorporating Individual Differences and Timing-Based Replanning Inference.
CogSci
Chenyuan Zhang, Yuansan Liu, Dana Kulic, Pamela Carreno-Medrano, Michael G. Burke
2025 J jnl
Robust online drop detection for cochlear implant surgery.
Int. J. Data Sci. Anal.
Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey
2025 — conf
Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting.
KDD (2)
Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey
2024 J jnl
Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces.
CoRR
Yuansan Liu, Jeygopi Panisilvam, Peter M. Dower, Sejeong Kim, James Bailey
2024 — —
Probabilistic and Neural Modelling for Time Series Analysis.
Yuansan Liu
2024 J jnl
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting.
CoRR
Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey
2024 B conf
Time Series Representation Learning with Supervised Contrastive Temporal Transformer.
IJCNN
Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey
2024 J jnl
Time Series Representation Learning with Supervised Contrastive Temporal Transformer.
CoRR
Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey
2024 A conf
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation.
SDM
Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey
2023 J jnl
Pandemic model with data-driven phase detection, a study using COVID-19 data.
J. Oper. Res. Soc.
Yuansan Liu, Saransh Srivastava, Zuo Huang, Felisa J. Vázquez-Abad
2023 J jnl
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation.
CoRR
Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey
2022 Misc conf
De Novo Molecular Generation with Stacked Adversarial Model.
AI
Yuansan Liu, James Bailey
2021 J jnl
De Novo Molecular Generation with Stacked Adversarial Model.
CoRR
Yuansan Liu, James Bailey
2021 J jnl
Pandemic model with data-driven phase detection, a study using COVID-19 data.
CoRR
Yuansan Liu, Saransh Srivastava, Zuo Huang, Felisa J. Vázquez-Abad