Yeqi Liu

Environmental Engineering · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 19 citations into it
• Water Science and Technology — 13 citations into it

Whom Yeqi Liu trusts overall

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

1. Sepp Hochreiter
2. J. Urgen Schmidhuber
3. Holger R. Maier
4. Yoshua Bengio
5. Kyunghyun Cho
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Taher Rajaee
9. Graeme C. Dandy
10. J. Schmidhuber

Papers from Yeqi Liu's perspective

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

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

Their papers

• A Review of the Artificial Neural Network Models for Water Quality Prediction (2020) — 392 citations
• DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction (2019) — 370 citations