Tingxiang Fan
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it; #29,606 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 37 citations into it; #18,198 of 21,575 by trust here, #17,258 by citations
- Reinforcement Learning — 23 citations into it
- Aerospace Engineering — 18 citations into it
- Control and Systems Engineering — 12 citations into it
- Computer Networks and Communications — 11 citations into it
- Automotive Engineering — 9 citations into it; #2,192 of 3,081 by trust here, #2,332 by citations
- Biomedical Engineering — 9 citations into it
Whom Tingxiang Fan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- John Schulman
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Alex Graves
- Sergey Levine
- Yann LeCun
- Ilya Sutskever
Who trusts Tingxiang Fan overall
Papers from Tingxiang Fan's perspective
Ordered by how strongly the researchers Tingxiang Fan 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
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images