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ORCIDXiaolong He 0001
Person information
- affiliation: ANSYS Inc., Livermore, CA, USA
- affiliation (former, PhD 2022): University of California San Diego, La Jolla, CA, USA
Other persons with the same name
- Xiaolong He (aka: Xiao-Long He) — disambiguation page
- Xiaolong He 0002
![[0000-0002-3165-2883]](https://google.otrosproyectosundfe.com/https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3165-2883")
— Hangzhou Normal University, School of Mathematics, Hangzhou, China - Xiaolong He 0003 — Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China
- Xiaolong He 0004 — Yanshan University, School of Mechanical Engineering, Qinhuangdao, China
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2020 – today
- 2026
[j2]Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi:
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. Trans. Mach. Learn. Res. 2026 (2026)- 2025
- [i11]Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi:
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems. CoRR abs/2506.08475 (2025) - 2024
- [i10]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:
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. CoRR abs/2403.10748 (2024) - [i9]Xiaolong He, April Tran, David M. Bortz, Youngsoo Choi:
Physics-informed active learning with simultaneous weak-form latent space dynamics identification. CoRR abs/2407.00337 (2024) - 2023
- [j1]Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen:
gLaSDI: Parametric physics-informed greedy latent space dynamics identification. J. Comput. Phys. 489: 112267 (2023) - [i8]Karan Taneja, Xiaolong He, Qizhi He, Jiun-Shyan Chen:
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems. CoRR abs/2305.16593 (2023) - [i7]Jonghyuk Baek, Yanran Wang, Xiaolong He, Yu Lu, John S. McCartney, Jiun-Shyan Chen:
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method. CoRR abs/2309.13519 (2023) - [i6]April Tran, Xiaolong He, Daniel A. Messenger, Youngsoo Choi, David M. Bortz:
Weak-Form Latent Space Dynamics Identification. CoRR abs/2311.12880 (2023) - 2022
- [b1]Xiaolong He:
Thermodynamically Consistent Physics-Informed Data-Driven Computing and Reduced-Order Modeling of Nonlinear Materials. University of California, San Diego, USA, 2022 - [i5]William Fries, Xiaolong He, Youngsoo Choi:
LaSDI: Parametric Latent Space Dynamics Identification. CoRR abs/2203.02076 (2022) - [i4]Xiaolong He, Youngsoo Choi, William D. Fries, Jon Belof, Jiun-Shyan Chen:
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification. CoRR abs/2204.12005 (2022) - [i3]Xiaolong He, Jiun-Shyan Chen:
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials. CoRR abs/2205.00578 (2022) - [i2]Xiaolong He, Qizhi He, Jiun-Shyan Chen:
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling. CoRR abs/2209.04416 (2022) - [i1]Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen:
Certified data-driven physics-informed greedy auto-encoder simulator. CoRR abs/2211.13698 (2022) - 2021
- [c1]Xiaolong He, Qizhi He, Jiun-Shyan Chen:
Deep Autoencoders for Nonlinear Physics-Constrained Data-Driven Computational Framework with Application to Biological Tissue Modeling. AAAI Spring Symposium: MLPS 2021
Coauthor Index
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