Jieqi Peng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Model Architectures — 22 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Jieqi Peng trusts overall

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

1. Ilya Sutskever
2. Sepp Hochreiter
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Rose Yu
7. Dzmitry Bahdanau
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Kyunghyun Cho

Who trusts Jieqi Peng overall

1. Tian Zhou
2. Haixu Wu
3. Abhimanyu Das
4. Gerald Woo

Papers from Jieqi Peng's perspective

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

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

Their papers

• Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting (2020) — 8,143 citations