Liouville Flow Importance Sampler - Yifeng Tian; Nishant Panda; Yen Ting Lin (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Liouville Flow Importance Sampler - Yifeng Tian; Nishant Panda; Yen Ting Lin (CoRR, 2024)

Regression-Based Projection for Learning Mori-Zwanzig Operators - Yen Ting Lin; Yifeng Tian; Danny Perez; Daniel Livescu (SIAM J. Appl. Dyn. Syst., 2023)

Blockchain-enabled tokenization for sustainable and inclusive infrastructure investment - Yifeng Tian; Chaofeng Wang; Ashish Asutosh; Junghoon Woo; Peter Adriaens (CoRR, 2022)

The future of blockchain-enabled tokenization in infrastructure investment and development: A Delphi-based scenario analysis - Yifeng Tian; Chaofeng Wang; Junghoon Woo; Zheng Lu; Peter Adriaens (CoRR, 2022)

Data-Driven Learning for the Mori-Zwanzig Formalism: A Generalization of the Koopman Learning Framework - Yen Ting Lin; Yifeng Tian; Daniel Livescu; Marian Anghel (SIAM J. Appl. Dyn. Syst., 2021)

Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence - Michael Woodward; Yifeng Tian; Criston Hyett; Chris Fryer; Daniel Livescu; Mikhail G. Stepanov; Michael Chertkov (CoRR, 2021)

A New Blockchain Digital MRV (Measurement, Reporting, and Verification) Architecture for Existing Building Energy Performance - Junghoon Woo; Charles J. Kibert; Richard Newman; Alireza Shojaei Kol Kachi; Ridah Fatima; Yifeng Tian (2nd Conference on Blockchain Research & Applications for Innovative Networks and Services, BRAINS 2020, Paris, France, September 28-30, 2020, 2020)