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Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems., , , , , , and . Big Data, 8 (5): 431-449 (2020)PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields., , , , , , and . ICDM, page 1246-1251. IEEE, (2021)Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach., , , , and . IEEE BigData, page 543-552. IEEE, (2019)Laying Anchors: Semantically Priming Numerals in Language Modeling., , , , and . CoRR, (2024)Recommending Temporally Relevant News Content from Implicit Feedback Data., , and . ICTAI, page 689-696. IEEE Computer Society, (2015)Science Guided Machine Learning: Incorporating Scientific Domain Knowledge for Learning Under Data Paucity and Noisy Contexts.. Virginia Tech, Blacksburg, VA, USA, (2022)base-search.net (ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/111558).Cut-n-Reveal: Time Series Segmentations with Explanations., , , , , and . ACM Trans. Intell. Syst. Technol., 11 (5): 53:1-53:26 (2020)Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19., , , , , and . AAAI, page 4855-4863. AAAI Press, (2021)MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning., , , and . IEEE Big Data, page 1936-1941. IEEE, (2022)Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation., , , , and . AAAI, page 15066-15074. AAAI Press, (2024)