Concepedia
Statistics
Publications
9
Citations
516
H-Index
Active since
2019
Affiliations
Brown University(Current)
Peking University
Chinese Academy of Sciences
Academy of Mathematics and Systems Science
University of Chinese Academy of Sciences
Pengzhan Jin is an author at Brown University specializing in computer science, machine learning, and engineering.
Top concepts
EngineeringComputer ScienceMachine LearningArtificial IntelligenceData ScienceRobot LearningDeep LearningInverse ProblemsMotion SynthesisAutonomous Systems
Publications per year
2019–2023
MIONet: Learning Multiple-Input Operators via Tensor Product
Pengzhan Jin, Shuai Meng, Lu Lu · SIAM Journal on Scientific Computing · 2022 · 172 citations · Full text
Artificial Intelligence, Banach Spaces, Engineering +13
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems
Pengzhan Jin, Zhen Zhang, Aiqing Zhu et al. · Neural Networks · 2020 · 157 citations · Full text
Lie Point Symmetry, Hamiltonian Theory, Hamiltonian Systems +1
Quantifying the generalization error in deep learning in terms of data\n distribution and neural network smoothness
Pengzhan Jin, Lu Lu, Yifa Tang et al. · arXiv (Cornell University) · 2019 · 60 citations · Full text
Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks
Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 54 citations
Artificial Intelligence, Geometric Learning, Engineering +17
Deep Hamiltonian networks based on symplectic integrators
Aiqing Zhu, Pengzhan Jin, Yifa Tang · arXiv (Cornell University) · 2020 · 18 citations · Full text
Artificial Intelligence, Hamiltonian Theory, Deep Hamiltonian Networks +12
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