Pao-Hsiung Chiu
Statistical and Nonlinear Physics · 2011–2021
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 27 citations into it
- Computational Mechanics — 22 citations into it; #7,144 of 10,001 by trust here, #9,582 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Artificial Intelligence — 8 citations into it
- AI for Physical Sciences — 7 citations into it
- Aerospace Engineering — 6 citations into it
Whom Pao-Hsiung Chiu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maizar Raissi
- G. Em Karniadakis
- Yoshua Bengio
- Diederik P. Kingma
- Han Gao
- Mark Sussman
- Jean-Luc Guermond
- John W. Cahn
- Ying Sun
- Hang Ding
Who trusts Pao-Hsiung Chiu overall
Papers from Pao-Hsiung Chiu's perspective
Ordered by how strongly the researchers Pao-Hsiung Chiu trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- A conservative phase field method for solving incompressible two-phase flows (2011) — 491 citations
- CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method (2021) — 368 citations