Pu Ren

51 papers A* 5C 2Journal 35Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributed optimal consensus for stochastic fractional-order multi-agent systems: Frequency distribution model approach.
Appl. Math. Comput.
Jin You, Yan Li, Xiangyang Cao, Zhen Zhuang, Pu Ren
2026 J jnl
Event-Triggered Robust State of Charge Estimation for Lithium-Ion Battery With Cloud-Integrated Battery Management System.
IEEE Trans. Ind. Electron.
Tong Yang, Yan Li, Pu Ren, Yi Zeng, Daduan Zhao, Zhen Zhuang, Xiangyang Xing
2026 J jnl
Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm.
CoRR
Shizheng Wen, Mingyuan Chi, Tianwei Yu, Ben Moseley, Mike Yan Michelis, Pu Ren, Hao Sun, Siddhartha Mishra
2025 J jnl
Advancing Data-Driven Broadband Seismic Wavefield Simulation With Multiconditional Diffusion Model.
IEEE Trans. Geosci. Remote. Sens.
Zhengfa Bi, Nori Nakata, Rie Nakata, Pu Ren, Xinming Wu, Michael W. Mahoney
2025 — conf
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction.
KDD (1)
Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu
2025 J jnl
HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems.
CoRR
Jialin Song, Yingheng Tang, Pu Ren, Shintaro Takayoshi, Saurabh Sawant, Yujie Zhu, Jia-Mian Hu, Andy Nonaka, Michael W. Mahoney, N. Benjamin Erichson, Zhi Yao
2025 J jnl
Learning spatiotemporal dynamics from sparse data via a high-order physics-encoded network.
Comput. Phys. Commun.
Pu Ren, Jialin Song, Chengping Rao, Qi Wang, Yike Guo, Hao Sun, Yang Liu
2025 J jnl
Modeling Non-Ergodic Path Effects Using Conditional Generative Model for Fourier Amplitude Spectra.
CoRR
Maxime Lacour, Pu Ren, Rie Nakata, Nori Nakata, Michael W. Mahoney
2025 — conf
Reasoning-Enhanced Object-Centric Learning for Videos.
KDD (1)
Jian Li, Pu Ren, Yang Liu, Hao Sun
2025 J jnl
SRaFTE: Super-Resolution and Future Time Extrapolation for Time-Dependent PDEs.
CoRR
Hardeep Bassi, Yuanran Zhu, Erika Ye, Pu Ren, Alec Dektor, Harish S. Bhat, Chao Yang
2025 J jnl
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning.
J. Data-centric Mach. Learn. Res.
Pu Ren, N. Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
2024 — conf
Application of Touch-based Interaction in Pattern Exhibition Narrative Display.
ISCID
Luying Li, Pu Ren, Chunhui Zheng, Haiying Tao, Zhe Wang
2024 J jnl
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction.
CoRR
Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu
2024 A* conf
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning.
NeurIPS
Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
2024 J jnl
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning.
CoRR
Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
2024 J jnl
Forecasting high-dimensional spatio-temporal systems from sparse measurements.
Mach. Learn. Sci. Technol.
Jialin Song, Zezheng Song, Pu Ren, N. Benjamin Erichson, Michael W. Mahoney, Xiaoye S. Li
2024 A* conf
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs.
ICLR
Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot
2024 J jnl
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling.
CoRR
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
2024 A* conf
Model Balancing Helps Low-data Training and Fine-tuning.
EMNLP
Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024 J jnl
Model Balancing Helps Low-data Training and Fine-tuning.
CoRR
Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024 A* conf
P
NeurIPS
Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Zeruizhi Cheng, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu
2024 J jnl
P
CoRR
Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu
2024 J jnl
Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures.
CoRR
R. Bailey Bond, Pu Ren, Jerome F. Hajjar, Hao Sun
2024 J jnl
Reasoning-Enhanced Object-Centric Learning for Videos.
CoRR
Jian Li, Pu Ren, Yang Liu, Hao Sun
2024 J jnl
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain.
Comput. Phys. Commun.
Pu Ren, Chengping Rao, Su Chen, Jian-Xun Wang, Hao Sun, Yang Liu
2024 J jnl
WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning.
CoRR
Dongwei Lyu, Rie Nakata, Pu Ren, Michael W. Mahoney, Arben Pitarka, Nori Nakata, N. Benjamin Erichson
2023 J jnl
Encoding physics to learn reaction-diffusion processes.
Nat. Mac. Intell.
Chengping Rao, Pu Ren, Qi Wang, Oral Buyukozturk, Hao Sun, Yang Liu
2023 J jnl
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs.
CoRR
Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W. Mahoney, Omri Azencot
2023 J jnl
PhySR: Physics-informed deep super-resolution for spatiotemporal data.
J. Comput. Phys.
Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun
2023 J jnl
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain.
CoRR
Pu Ren, Chengping Rao, Hao Sun, Yang Liu
2023 J jnl
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning.
CoRR
Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
2022 — conf
A Line-drawing Extraction Method for Traditional Ornament based on 3D Models.
ISCID
Pu Ren, Mingjun Yang
2022 J jnl
An Unsupervised Machine Learning Approach for Ground Motion Clustering and Selection.
CoRR
R. Bailey Bond, Pu Ren, Jerome F. Hajjar, Hao Sun
2022 — conf
Arbitrary Style Transfer with Semantic Content Enhancement.
VRCAI
Guoshuai Li, Bin Cheng, Luoyu Cheng, Chongbin Xu, Xiaomin Sun, Pu Ren, Yong Yang, Qian Chen
2022 J jnl
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.
Tao Long, Shunli Wang, Wen Cao, Pu Ren, Mingfang He, Carlos Fernandez
2022 A* conf
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning.
ICLR
Chengping Rao, Pu Ren, Yang Liu, Hao Sun
2022 J jnl
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning.
CoRR
Chengping Rao, Pu Ren, Yang Liu, Hao Sun
2022 J jnl
Physics-informed Deep Super-resolution for Spatiotemporal Data.
CoRR
Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun
2022 J jnl
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain.
CoRR
Pu Ren, Chengping Rao, Su Chen, Jian-sun Wang, Hao Sun, Yang Liu
2021 — conf
A Brief Discussion on Design Education and Practice in the Hypermedia Era.
HCI (18)
Pu Ren, Zhe Wang, Mingjun Yang
2021 J jnl
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs.
CoRR
Pu Ren, Chengping Rao, Yang Liu, Jian-Xun Wang, Hao Sun
2020 J jnl
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting.
CoRR
Pu Ren, Xinyu Chen, Lijun Sun, Hao Sun
2018 J jnl
A Sketch-based Rapid Modeling Method for Crime Scene Presentation.
J. Digit. Forensics Secur. Law
Pu Ren, Wuyang Shui, Jin Liu, Yachun Fan, Wenshuo Zhao, Mingquan Zhou
2018 J jnl
Data-Driven Modeling for Chinese Ancient Architecture.
Presence Teleoperators Virtual Environ.
Pu Ren, Yan Wang, Mingquan Zhou, Zhongke Wu, Pengbo Zhou, Juan Zhang
2018 C conf
Text to 3D Model of Chinese Ancient Architecture.
CW
Yan Wang, Pu Ren, Mingquan Zhou, Wuyang Shui, Pengbo Zhou
2017 J jnl
Manifold Ranking for Sketch-Based 3D Model Retrieval.
Trans. Edutainment
Lu Qian, Yachun Fan, Mingquan Zhou, Hua Luan, Pu Ren
2017 J jnl
Rapid three-dimensional scene modeling by sketch retrieval and auto-arrangement.
Comput. Graph.
Pu Ren, Yachun Fan, Mingquan Zhou, Zhe Wang, Guoguang Du, Lu Qian
2017 — conf
Sketch-Based Modeling and Immersive Display Techniques for Indoor Crime Scene Presentation.
ICDF2C
Pu Ren, Mingquan Zhou, Jin Liu, Yachun Fan, Wenshuo Zhao, Wuyang Shui
2016 C conf
A Rapid Modeling Method for 3D Architectural Scene.
CW
Pu Ren, Zhe Wang, Yachun Fan, Mingquan Zhou, Guoguang Du
2016 — conf
Automatic planar shape segmentation from indoor point clouds.
VRCAI
Wuyang Shui, Jin Liu, Pu Ren, Steve Maddock, Mingquan Zhou
2014 — conf
A Mixed-Method Approach for Rapid Modeling of the Virtual Scene Building.
IGTA
Pu Ren, Wenjian Wang, Mingquan Zhou, Chongbin Xu