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Pu Ren
ORCID
Publication Activity (10 Years)
Years Active: 2014-2024
Publications (10 Years): 31
Top Topics
Diffusion Processes
Manifold Ranking
E Learning
Spatiotemporal Data
Top Venues
CoRR
CW
VRCAI
ICLR
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Publications
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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
(2024)
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
(2024)
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
(2024)
Jian Li
,
Pu Ren
,
Yang Liu
,
Hao Sun
Reasoning-Enhanced Object-Centric Learning for Videos.
CoRR
(2024)
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
(2024)
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)
Pu Ren
,
Chengping Rao
,
Su Chen
,
Jian-Xun Wang
,
Hao Sun
,
Yang Liu
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain.
Comput. Phys. Commun.
295 (2024)
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
(2023)
Pu Ren
,
Chengping Rao
,
Yang Liu
,
Zihan Ma
,
Qi Wang
,
Jian-Xun Wang
,
Hao Sun
PhySR: Physics-informed deep super-resolution for spatiotemporal data.
J. Comput. Phys.
492 (2023)
Chengping Rao
,
Pu Ren
,
Qi Wang
,
Oral Buyukozturk
,
Hao Sun
,
Yang Liu
Encoding physics to learn reaction-diffusion processes.
Nat. Mac. Intell.
5 (7) (2023)
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
(2023)
Pu Ren
,
Chengping Rao
,
Hao Sun
,
Yang Liu
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain.
CoRR
(2023)
Pu Ren
,
Chengping Rao
,
Su Chen
,
Jian-sun Wang
,
Hao Sun
,
Yang Liu
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain.
CoRR
(2022)
R. Bailey Bond
,
Pu Ren
,
Jerome F. Hajjar
,
Hao Sun
An Unsupervised Machine Learning Approach for Ground Motion Clustering and Selection.
CoRR
(2022)
Pu Ren
,
Mingjun Yang
A Line-drawing Extraction Method for Traditional Ornament based on 3D Models.
ISCID
(2022)
Pu Ren
,
Chengping Rao
,
Yang Liu
,
Zihan Ma
,
Qi Wang
,
Jian-Xun Wang
,
Hao Sun
Physics-informed Deep Super-resolution for Spatiotemporal Data.
CoRR
(2022)
Guoshuai Li
,
Bin Cheng
,
Luoyu Cheng
,
Chongbin Xu
,
Xiaomin Sun
,
Pu Ren
,
Yong Yang
,
Qian Chen
Arbitrary Style Transfer with Semantic Content Enhancement.
VRCAI
(2022)
Chengping Rao
,
Pu Ren
,
Yang Liu
,
Hao Sun
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning.
CoRR
(2022)
Chengping Rao
,
Pu Ren
,
Yang Liu
,
Hao Sun
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning.
ICLR
(2022)
Tao Long
,
Shunli Wang
,
Wen Cao
,
Pu Ren
,
Mingfang He
,
Carlos Fernandez
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) (2022)
Pu Ren
,
Chengping Rao
,
Yang Liu
,
Jian-Xun Wang
,
Hao Sun
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs.
CoRR
(2021)
Pu Ren
,
Zhe Wang
,
Mingjun Yang
A Brief Discussion on Design Education and Practice in the Hypermedia Era.
HCI (18)
(2021)
Pu Ren
,
Xinyu Chen
,
Lijun Sun
,
Hao Sun
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting.
CoRR
(2020)
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)
Yan Wang
,
Pu Ren
,
Mingquan Zhou
,
Wuyang Shui
,
Pengbo Zhou
Text to 3D Model of Chinese Ancient Architecture.
CW
(2018)
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) (2018)
Lu Qian
,
Yachun Fan
,
Mingquan Zhou
,
Hua Luan
,
Pu Ren
Manifold Ranking for Sketch-Based 3D Model Retrieval.
Trans. Edutainment
13 (2017)
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 (2017)
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)
Pu Ren
,
Zhe Wang
,
Yachun Fan
,
Mingquan Zhou
,
Guoguang Du
A Rapid Modeling Method for 3D Architectural Scene.
CW
(2016)
Wuyang Shui
,
Jin Liu
,
Pu Ren
,
Steve Maddock
,
Mingquan Zhou
Automatic planar shape segmentation from indoor point clouds.
VRCAI
(2016)
Pu Ren
,
Wenjian Wang
,
Mingquan Zhou
,
Chongbin Xu
A Mixed-Method Approach for Rapid Modeling of the Virtual Scene Building.
IGTA
(2014)