Siyuan Feng
Artificial Intelligence · with Lee · 2019
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Speech & Audio — 13 citations into it; #570 of 1,076 by trust here, #1,009 by citations
- Representation & Self-Supervised Learning — 6 citations into it; #1,862 of 3,145 by trust here, #3,009 by citations
Whom Siyuan Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Hongjie Chen
- Wei-Ning Hsu
- Sakriani Watiasri Sakti
- Zhizheng Wu
- Jimmy Ba
- Daniel Povey
- Geoffrey E. Hinton
- Yoshua Bengio
- Yu Zhang
Who trusts Siyuan Feng overall
- Morgane Rivière
- Mingjie Chen
- David F. Harwath
- Emmanuel Dupoux
- Thomas Hain
- Wei-Ning Hsu
- James R. Glass
Papers from Siyuan Feng's perspective
Ordered by how strongly the researchers Siyuan Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)