Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems. - Paras Sheth; Ting Liu; Durmus Doner; Qi Deng; Yuhang Wei; Rebecca Muenich; John Sabo; K. Selçuk Candan; Huan Liu 001 (IEEE Big Data, 2022)

STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. - Paras Sheth; Reepal Shah; John Sabo; K. Selçuk Candan; Huan Liu 001 (IEEE Big Data, 2022)

STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. - Paras Sheth; Ahmadreza Mosallanezhad; Kaize Ding; Reepal Shah; John Sabo; Huan Liu 001; K. Selçuk Candan (CIKM, 2023)

Spatio-temporal Causal Learning for Streamflow Forecasting. - Shu Wan 002; Reepal Shah; Qi Deng; John Sabo; Huan Liu 001; K. Selçuk Candan (IEEE Big Data, 2024)

Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. - Yoonhyuk Choi; Reepal Shah; John Sabo; Huan Liu 001; K. Selçuk Candan (IEEE Big Data, 2024)

(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning. - Fahim Tasneema Azad; K. Selçuk Candan; Ahmet Kapkiç; Mao-Lin Li; Huan Liu 001; Pratanu Mandal; Paras Sheth; Bilgehan Arslan; Gerardo Chowell-Puente; John Sabo; Rebecca Muenich; Javier Redondo Anton; et al. (ACM Trans. Spatial Algorithms Syst., 2024)