Zhongrun Xiang

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Environmental Engineering — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Model Architectures — 15 citations into it
• Water Science and Technology — 14 citations into it
• Global and Planetary Change — 10 citations into it
• Natural Language Processing — 6 citations into it

Whom Zhongrun Xiang trusts overall

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

1. Ilya Sutskever
2. Kyunghyun Cho
3. Geoffrey E. Hinton
4. Amir Mosavi
5. Yoshua Bengio
6. Oriol Vinyals
7. Durdu Ömer Faruk
8. Holger R. Maier
9. Sepp Hochreiter
10. Tsung-Hsien Wen

Papers from Zhongrun Xiang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning (2020) — 572 citations
• A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources (2020) — 485 citations