Wei-Cheng Hong

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 Wei-Cheng Hong trusts overall

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

1. Marcella Cornia
2. Yongzhi Zhang
3. Shuai Zheng

Papers from Wei-Cheng Hong's perspective

Ordered by how strongly the researchers Wei-Cheng Hong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Meshed-Memory Transformer for Image Captioning
3. Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries (IEEE Transactions on Vehicular Technology)
4. Long Short-Term Memory Network for Remaining Useful Life estimation (International Conference on Prognostics and Health Management)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

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