Aolan Sun

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Aolan Sun trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yuxuan Wang
2. Ilya Sutskever
3. R. Skerry-Ryan
4. Oriol Vinyals
5. Aäron van den Oord
6. Diederik P. Kingma
7. Geoffrey E. Hinton
8. Daniel Beck
9. Yoshua Bengio
10. Alex Graves

Papers from Aolan Sun's perspective

Ordered by how strongly the researchers Aolan Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion (2022) — 45 citations
• GraphTTS: Graph-to-Sequence Modelling in Neural Text-to-Speech (2020) — 22 citations