Xiaolong He - RankMe

15 papers Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. Trans. Mach. Learn. Res. Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
2025	J	`jnl`	Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. CoRR Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
2024	J	`jnl`	A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. CoRR Christophe Bonneville, Xiaolong He, April Tran, Jun Sur Richard Park, William Fries, Daniel A. Messenger, Siu Wun Cheung, Yeonjong Shin, David M. Bortz, Debojyoti Ghosh, Jiun-Shyan Chen, Jonathan L. Belof, Youngsoo Choi
2024	J	`jnl`	Physics-informed active learning with simultaneous weak-form latent space dynamics identification. CoRR Xiaolong He, April Tran, David M. Bortz, Youngsoo Choi
2023	J	`jnl`	A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems. CoRR Karan Taneja, Xiaolong He, Qizhi He, Jiun-Shyan Chen
2023	J	`jnl`	Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method. CoRR Jonghyuk Baek, Yanran Wang, Xiaolong He, Yu Lu, John S. McCartney, Jiun-Shyan Chen
2023	J	`jnl`	Weak-Form Latent Space Dynamics Identification. CoRR April Tran, Xiaolong He, Daniel A. Messenger, Youngsoo Choi, David M. Bortz
2023	J	`jnl`	gLaSDI: Parametric physics-informed greedy latent space dynamics identification. J. Comput. Phys. Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
2022	J	`jnl`	Certified data-driven physics-informed greedy auto-encoder simulator. CoRR Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
2022	J	`jnl`	Deep autoencoders for physics-constrained data-driven nonlinear materials modeling. CoRR Xiaolong He, Qizhi He, Jiun-Shyan Chen
2022	J	`jnl`	LaSDI: Parametric Latent Space Dynamics Identification. CoRR William Fries, Xiaolong He, Youngsoo Choi
2022	J	`jnl`	Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials. CoRR Xiaolong He, Jiun-Shyan Chen
2022	—	`—`	Thermodynamically Consistent Physics-Informed Data-Driven Computing and Reduced-Order Modeling of Nonlinear Materials Xiaolong He
2022	J	`jnl`	gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification. CoRR Xiaolong He, Youngsoo Choi, William D. Fries, Jon Belof, Jiun-Shyan Chen
2021	—	`conf`	Deep Autoencoders for Nonlinear Physics-Constrained Data-Driven Computational Framework with Application to Biological Tissue Modeling. AAAI Spring Symposium: MLPS Xiaolong He, Qizhi He, Jiun-Shyan Chen