Daoquan Chen

Automotive Engineering · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 10 citations into it
• Safety, Risk, Reliability and Quality — 10 citations into it

Whom Daoquan Chen trusts overall

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

1. Marcella Cornia
2. Yongzhi Zhang
3. Shuai Zheng
4. Matteo Stefanini
5. Rui Xiong
6. Kosta Ristovski

Papers from Daoquan Chen's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries (2022) — 317 citations