Shuhong Chen

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Experimental and Cognitive Psychology — 13 citations into it
• Signal Processing — 13 citations into it
• Natural Language Processing — 11 citations into it

Whom Shuhong Chen trusts overall

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

1. Soujanya Poria
2. Yoon Kim
3. Erik Cambria
4. Richard Socher
5. Yoshua Bengio
6. Tomas Mikolov
7. Geoffrey E. Hinton
8. Ilya Sutskever
9. Diederik P. Kingma
10. Sergey Ioffe

Papers from Shuhong Chen's perspective

Ordered by how strongly the researchers Shuhong Chen 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. Long Short-Term Memory
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment (2018) — 144 citations
• Speech Intention Classification with Multimodal Deep Learning (2017) — 51 citations