Hongshen Chen
Artificial Intelligence · with Yin · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 103 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 101 citations into it; #30,619 of 35,345 by trust here, #14,718 by citations
- Natural Language Processing — 88 citations into it; #5,007 of 5,688 by trust here, #3,282 by citations
- Computer Vision and Pattern Recognition — 19 citations into it
- Generative Models — 11 citations into it
- Reinforcement Learning — 10 citations into it
Whom Hongshen Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Oriol Vinyals
- Alex Graves
- Alex Krizhevsky
- Iulian Serban
- Tomas Mikolov
- Yann LeCun
Who trusts Hongshen Chen overall
- Kun Qian
- Fengyi Tang
- Jelena Luketina
- Zhou Yu
- Emilio Ferrara
- Kaixiang Lin
- Haochen Liu
- Matthew Henderson
Papers from Hongshen Chen's perspective
Ordered by how strongly the researchers Hongshen Chen 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)