Chuang Niu
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Neural Architecture Search & AutoML — 15 citations into it
- Model Architectures — 9 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Graph Learning — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Chuang Niu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Barret Zoph
- Sergey Ioffe
- Kaiming He
- Yann LeCun
- Ilya Sutskever
- Christian Szegedy
Papers from Chuang Niu's perspective
Ordered by how strongly the researchers Chuang Niu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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