Zhenhua Chai
Computational Mechanics · 2008–2021
A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 37 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Electrical and Electronic Engineering — 19 citations into it
- Biomedical Engineering — 7 citations into it
Whom Zhenhua Chai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Zhenhua Chai overall
Papers from Zhenhua Chai's perspective
Ordered by how strongly the researchers Zhenhua Chai trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Fully convolutional networks for semantic segmentation
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Multiple-relaxation-time lattice Boltzmann model for generalized Newtonian fluid flows (2011) — 146 citations
- Rethinking BiSeNet For Real-time Semantic Segmentation (2021) — 709 citations
- A brief review of the phase-field-based lattice Boltzmann method for multiphase flows (2019) — 185 citations
- A novel lattice Boltzmann model for the Poisson equation (2008) — 210 citations