Hongyuan Mei

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 267 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #4,573 of 35,345 by trust here, #6,614 by citations
• Natural Language Processing — 42 citations into it; #1,090 of 5,688 by trust here, #1,540 by citations
• Computer Vision and Pattern Recognition — 29 citations into it; #4,290 of 21,575 by trust here, #4,834 by citations
• Model Architectures — 16 citations into it
• Multimodal Learning — 12 citations into it
• Signal Processing — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Hongyuan Mei trusts overall

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

1. Diederik P. Kingma
2. Ilya Sutskever
3. Oriol Vinyals
4. Alex Graves
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Yoshua Bengio
8. Sepp Hochreiter
9. Alex Krizhevsky
10. Dzmitry Bahdanau

Who trusts Hongyuan Mei overall

1. Mirella Lapata
2. Ratish Puduppully
3. Ondrej Dusek
4. Li Dong
5. Rémi Lebret
6. Jekaterina Novikova
7. Junteng Jia
8. Tsung-Hsien Wen
9. Laura Perez-Beltrachini
10. Sam Wiseman

Papers from Hongyuan Mei's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences (2015) — 247 citations
• What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment (2015) — 293 citations
• The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process (2017)