Maofan Yin
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #29,942 of 35,345 by trust here, #27,551 by citations
- Signal Processing — 9 citations into it; #6,430 of 7,572 by trust here, #5,570 by citations
Whom Maofan Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miguel Oom Temudo de Castro
- Christian Cachin
- Alysson Neves Bessani
- Ethan Buchman
- Dong Yu
- Barbara H. Liskov
- Victor Shoup
- Geoffrey E. Hinton
- George E. Dahl
- Klaus Kursawe
Who trusts Maofan Yin overall
Papers from Maofan Yin's perspective
Ordered by how strongly the researchers Maofan Yin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Practical Byzantine fault tolerance
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription
- Attention is All you Need (Neural Information Processing Systems)
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
- Practical byzantine fault tolerance and proactive recovery
Their papers
- Cluster adaptive training for deep neural network (2015) — 75 citations
- HotStuff: BFT Consensus with Linearity and Responsiveness (2019) — 1,300 citations