Guanglai Gao
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #34,197 of 35,345 by trust here, #25,809 by citations
- Signal Processing — 55 citations into it
- Speech & Audio — 37 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Generative Models — 18 citations into it
- Natural Language Processing — 16 citations into it
Whom Guanglai Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yuxuan Wang
- Daniel W. Griffin
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Sergey Ioffe
- Alex Graves
- R. Skerry-Ryan
Who trusts Guanglai Gao overall
Papers from Guanglai Gao's perspective
Ordered by how strongly the researchers Guanglai Gao 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Expressive TTS Training With Frame and Style Reconstruction Loss (2020) — 85 citations
- Modeling Prosodic Phrasing With Multi-Task Learning in Tacotron-Based TTS (2020) — 22 citations
- Teacher-Student Training For Robust Tacotron-Based TTS (2019) — 40 citations