Mingyi Chen

Artificial Intelligence · with He · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #30,344 of 35,345 by trust here, #28,481 by citations
• Experimental and Cognitive Psychology — 9 citations into it; #7,571 of 9,731 by trust here, #7,398 by citations
• Signal Processing — 8 citations into it; #6,480 of 7,572 by trust here, #5,829 by citations

Whom Mingyi Chen trusts overall

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

1. Diederik P. Kingma
2. Alex Graves
3. Dzmitry Bahdanau
4. Erik M. Schmidt
5. Yoshua Bengio
6. Florian Eyben
7. Kun Han
8. Jimmy Ba
9. Geoffrey E. Hinton
10. Qi-rong Mao

Who trusts Mingyi Chen overall

1. Mustaqeem
2. Rui Liu
3. M. Alam
4. Soonil Kwon
5. Yan Wang
6. Berrak Sisman

Papers from Mingyi Chen's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• 3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018) — 441 citations