Rongjie Lai
Computer Vision and Pattern Recognition · 2013–2018
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
- Computational Mechanics — 15 citations into it
- Artificial Intelligence — 11 citations into it
- Graph Learning — 7 citations into it
- Model Architectures — 7 citations into it
- Signal Processing — 7 citations into it
Whom Rongjie Lai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Donoho
- Diederik P. Kingma
- Yann LeCun
- Geoffrey E. Hinton
- Joan Bruna
- Ingrid Daubechies
- Alex Krizhevsky
- Ilya Sutskever
- Risi Kondor
- Yoshua Bengio
Who trusts Rongjie Lai overall
Papers from Rongjie Lai's perspective
Ordered by how strongly the researchers Rongjie Lai trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds (2018) — 24 citations
- Compressed modes for variational problems in mathematics and physics (2013) — 194 citations