Huan Gui

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #23,300 of 35,345 by trust here, #16,166 by citations
• Natural Language Processing — 22 citations into it; #3,908 of 5,688 by trust here, #3,638 by citations

Whom Huan Gui trusts overall

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

1. Tomas Mikolov
2. Jian Tang
3. Andriy Mnih
4. Yoshua Bengio
5. Ilya Sutskever
6. Geoffrey E. Hinton
7. Steffen Rendle
8. Omer Levy
9. Jesse Davis
10. Yizhou Sun

Who trusts Huan Gui overall

1. Hongyun Cai
2. Vincent Wenchen Zheng

Papers from Huan Gui's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Empower Sequence Labeling with Task-Aware Neural Language Model (2017) — 354 citations
• Large-Scale Embedding Learning in Heterogeneous Event Data (2016) — 88 citations