Junliang Guo
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 67 citations into it; #34,834 of 35,345 by trust here, #25,040 by citations
- Natural Language Processing — 47 citations into it
- Computer Vision and Pattern Recognition — 42 citations into it
Whom Junliang Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Diederik P. Kingma
- Jimmy Ba
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Dzmitry Bahdanau
- Kyunghyun Cho
Who trusts Junliang Guo overall
Papers from Junliang Guo's perspective
Ordered by how strongly the researchers Junliang Guo 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation (2021) — 26 citations
- Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input (2018) — 133 citations