Shulin Feng
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Signal Processing — 15 citations into it
- Efficiency & Compression — 12 citations into it
- Large Language Models — 5 citations into it
- Natural Language Processing — 5 citations into it
Whom Shulin Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Zhongdi Qu
- Noam Shazeer
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Tara N. Sainath
- Yann LeCun
- Abdel-rahman Mohamed
Who trusts Shulin Feng overall
Papers from Shulin Feng's perspective
Ordered by how strongly the researchers Shulin Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
- SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts (2021) — 81 citations
- Speechmoe2: Mixture-of-Experts Model with Improved Routing (2021) — 41 citations