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Ren, Pu
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1

Physics-informed neural network for seismic wave inversion ..:

Ren, Pu ; Rao, Chengping ; Sun, Hao.
http://arxiv.org/abs/2305.05150.  , 2023
Link: http://arxiv.org/abs/230..
 
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2

SuperBench: A Super-Resolution Benchmark Dataset for Scient..:

Ren, Pu ; Erichson, N. Benjamin ; Subramanian, Shashank...
http://arxiv.org/abs/2306.14070.  , 2023
Link: http://arxiv.org/abs/230..
 
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3

Generative Modeling of Regular and Irregular Time Series Da..:

Naiman, Ilan ; Erichson, N. Benjamin ; Ren, Pu..
http://arxiv.org/abs/2310.02619.  , 2023
Link: http://arxiv.org/abs/231..
 
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4

dGLYAT modulates Gadd45-mediated JNK activation and cell in..:

Xu, Meng ; Ren, Pu ; Tian, Juhui...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357319/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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5

Discovering Nonlinear PDEs from Scarce Data with Physics-en..:

Rao, Chengping ; Ren, Pu ; Liu, Yang.
http://arxiv.org/abs/2201.12354.  , 2022
Link: http://arxiv.org/abs/220..
 
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6

A novel multiple training-scale dynamic adaptive cuckoo sea..:

Ren, Pu ; Wang, Shunli ; Chen, Xianpei...
https://rgu-repository.worktribe.com/output/1791932.  , 2022
Link: https://doi.org/10.1016/..
 
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7

Physics-informed Deep Super-resolution for Spatiotemporal D..:

Ren, Pu ; Rao, Chengping ; Liu, Yang...
http://arxiv.org/abs/2208.01462.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Collaborative state estimation of lithium‐ion battery based..:

Long, Tao ; Wang, Shunli ; Cao, Wen...
https://rgu-repository.worktribe.com/output/1608895.  , 2022
Link: https://doi.org/10.1002/..
 
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9

An Unsupervised Machine Learning Approach for Ground-Motion..:

Bond, R. Bailey ; Ren, Pu ; Hajjar, Jerome F.
http://arxiv.org/abs/2212.03188.  , 2022
Link: http://arxiv.org/abs/221..
 
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10

SeismicNet: Physics-informed neural networks for seismic wa..:

Ren, Pu ; Rao, Chengping ; Chen, Su...
http://arxiv.org/abs/2210.14044.  , 2022
Link: http://arxiv.org/abs/221..
 
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11

A Critical Review of Improved Deep Convolutional Neural Net..:

Wang, Shunli ; Ren, Pu ; Takyi-Aninakwa, Paul..
https://vbn.aau.dk/da/publications/31d993cb-aa0c-4d2a-a558-742a915c0aa3.  , 2022
Link: https://vbn.aau.dk/da/pu..
 
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12

A critical review of improved deep convolutional neural net..:

Wang, Shunli ; Ren, Pu ; Takyi-Aninakwa, Paul..
https://rgu-repository.worktribe.com/output/1713194.  , 2022
Link: https://doi.org/10.3390/..
 
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13

PhyCRNet: Physics-informed Convolutional-Recurrent Network ..:

Ren, Pu ; Rao, Chengping ; Liu, Yang..
http://arxiv.org/abs/2106.14103.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Encoding physics to learn reaction-diffusion processes:

Rao, Chengping ; Ren, Pu ; Wang, Qi...
http://arxiv.org/abs/2106.04781.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

Incremental Bayesian tensor learning for structural monitor..:

Ren, Pu ; Chen, Xinyu ; Sun, Lijun.
http://arxiv.org/abs/2007.00790.  , 2020
Link: http://arxiv.org/abs/200..
 
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