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Pu Ren
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2020 – today
- 2024
- [j8]Pu Ren, Chengping Rao, Su Chen, Jian-Xun Wang
, Hao Sun
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. Comput. Phys. Commun. 295: 109010 (2024) - [c10]Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot:
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. ICLR 2024 - [i14]Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney:
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning. CoRR abs/2402.15734 (2024) - [i13]R. Bailey Bond, Pu Ren, Jerome F. Hajjar, Hao Sun:
Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures. CoRR abs/2402.17992 (2024) - [i12]Jian Li, Pu Ren, Yang Liu, Hao Sun:
Reasoning-Enhanced Object-Centric Learning for Videos. CoRR abs/2403.15245 (2024) - [i11]Dongwei Lyu, Rie Nakata, Pu Ren, Michael W. Mahoney, Arben Pitarka, Nori Nakata, N. Benjamin Erichson:
WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning. CoRR abs/2405.20516 (2024) - [i10]Pu Ren, Rie Nakata, Maxime Lacour, Ilan Naiman, Nori Nakata, Jialin Song, Zhengfa Bi, Osman Asif Malik, Dmitriy Morozov, Omri Azencot, N. Benjamin Erichson, Michael W. Mahoney:
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. CoRR abs/2407.15089 (2024) - 2023
- [j7]Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang
PhySR: Physics-informed deep super-resolution for spatiotemporal data. J. Comput. Phys. 492: 112438 (2023) - [j6]Chengping Rao, Pu Ren
Encoding physics to learn reaction-diffusion processes. Nat. Mac. Intell. 5(7): 765-779 (2023) - [i9]Pu Ren, Chengping Rao, Hao Sun, Yang Liu:
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain. CoRR abs/2305.05150 (2023) - [i8]Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney:
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. CoRR abs/2306.14070 (2023) - [i7]Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot:
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs. CoRR abs/2310.02619 (2023) - 2022
- [j5]Tao Long
Collaborative state estimation of lithium-ion battery based on multi-time scale low-pass filter forgetting factor recursive least squares - double extended Kalman filtering algorithm. Int. J. Circuit Theory Appl. 50(6): 2108-2127 (2022) - [c9]Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. ICLR 2022 - [c8]Pu Ren, Mingjun Yang:
A Line-drawing Extraction Method for Traditional Ornament based on 3D Models. ISCID 2022: 245-248 - [c7]Guoshuai Li
Arbitrary Style Transfer with Semantic Content Enhancement. VRCAI 2022: 21:1-21:8 - [i6]Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. CoRR abs/2201.12354 (2022) - [i5]Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun:
Physics-informed Deep Super-resolution for Spatiotemporal Data. CoRR abs/2208.01462 (2022) - [i4]Pu Ren, Chengping Rao, Su Chen
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. CoRR abs/2210.14044 (2022) - [i3]R. Bailey Bond, Pu Ren, Jerome F. Hajjar, Hao Sun:
An Unsupervised Machine Learning Approach for Ground Motion Clustering and Selection. CoRR abs/2212.03188 (2022) - 2021
- [c6]Pu Ren, Zhe Wang, Mingjun Yang:
A Brief Discussion on Design Education and Practice in the Hypermedia Era. HCI (18) 2021: 567-578 - [i2]Pu Ren, Chengping Rao, Yang Liu, Jian-Xun Wang, Hao Sun:
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs. CoRR abs/2106.14103 (2021) - 2020
- [i1]Pu Ren, Xinyu Chen, Lijun Sun, Hao Sun:
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting. CoRR abs/2007.00790 (2020)
2010 – 2019
- 2018
- [j4]Pu Ren, Wuyang Shui, Jin Liu, Yachun Fan, Wenshuo Zhao, Mingquan Zhou:
A Sketch-based Rapid Modeling Method for Crime Scene Presentation. J. Digit. Forensics Secur. Law 13(1): 43-58 (2018) - [j3]Pu Ren, Yan Wang, Mingquan Zhou, Zhongke Wu, Pengbo Zhou, Juan Zhang:
Data-Driven Modeling for Chinese Ancient Architecture. Presence Teleoperators Virtual Environ. 26(4) (2018) - [c5]Yan Wang, Pu Ren, Mingquan Zhou, Wuyang Shui, Pengbo Zhou:
Text to 3D Model of Chinese Ancient Architecture. CW 2018: 144-149 - 2017
- [j2]Pu Ren, Yachun Fan, Mingquan Zhou, Zhe Wang, Guoguang Du, Lu Qian:
Rapid three-dimensional scene modeling by sketch retrieval and auto-arrangement. Comput. Graph. 64: 26-36 (2017) - [j1]Lu Qian, Yachun Fan, Mingquan Zhou, Hua Luan, Pu Ren:
Manifold Ranking for Sketch-Based 3D Model Retrieval. Trans. Edutainment 13: 149-164 (2017) - [c4]Pu Ren, Mingquan Zhou, Jin Liu, Yachun Fan, Wenshuo Zhao, Wuyang Shui:
Sketch-Based Modeling and Immersive Display Techniques for Indoor Crime Scene Presentation. ICDF2C 2017: 181-194 - 2016
- [c3]Pu Ren, Zhe Wang, Yachun Fan, Mingquan Zhou, Guoguang Du:
A Rapid Modeling Method for 3D Architectural Scene. CW 2016: 9-16 - [c2]Wuyang Shui, Jin Liu, Pu Ren, Steve Maddock
Automatic planar shape segmentation from indoor point clouds. VRCAI 2016: 363-372 - 2014
- [c1]Pu Ren, Wenjian Wang, Mingquan Zhou, Chongbin Xu:
A Mixed-Method Approach for Rapid Modeling of the Virtual Scene Building. IGTA 2014: 165-174
Coauthor Index
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