Zhao-long Song
Artificial Intelligence · 2019
A researcher in the Science corpus: 3 papers; trusts 204 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it; #26,478 of 35,345 by trust here, #21,878 by citations
- Generative Models — 59 citations into it; #1,528 of 1,956 by trust here, #1,287 by citations
- Signal Processing — 55 citations into it; #3,241 of 7,572 by trust here, #1,857 by citations
- Computer Vision and Pattern Recognition — 52 citations into it; #16,357 of 21,575 by trust here, #11,721 by citations
- Speech & Audio — 49 citations into it
- Natural Language Processing — 35 citations into it; #3,689 of 5,688 by trust here, #3,053 by citations
- Probabilistic & Bayesian Methods — 16 citations into it
- Model Architectures — 12 citations into it
Whom Zhao-long Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Aäron van den Oord
- Yoshua Bengio
- Geoffrey E. Hinton
- Oriol Vinyals
- Alex Krizhevsky
- Alex Graves
- Ilya Sutskever
- Yann LeCun
- Wei Ping
Who trusts Zhao-long Song overall
- Xu Tan
- Stanislav Beliaev
- Jaehyeon Kim
- Zhaoxi Mu
- Wei-Ning Hsu
- Wei Ping
- Yi Ren
- Takuma Okamoto
- Zhifeng Kong
- Tao Qin
Papers from Zhao-long Song's perspective
Ordered by how strongly the researchers Zhao-long Song 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- WaveFlow: A Compact Flow-based Model for Raw Audio (2019) — 133 citations
- Parallel Neural Text-to-Speech (2019) — 40 citations
- Non-Autoregressive Neural Text-to-Speech (2019) — 119 citations