Ling Peng

Artificial Intelligence · with Chi · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Ling Peng trusts overall

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

1. Marc'Aurelio Ranzato
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ronald J. Williams
5. Sepp Hochreiter
6. Ronan Collobert
7. Yann LeCun
8. J. Urgen Schmidhuber
9. A. Robinson
10. Jason Aaron Edward Weston

Who trusts Ling Peng overall

1. Chiou-Jye Huang
2. M. Mohammadi

Papers from Ling Peng's perspective

Ordered by how strongly the researchers Ling Peng 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A novel spatiotemporal convolutional long short-term neural network for air pollution prediction. (2019) — 386 citations
• Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation. (2017) — 578 citations
• Deep learning architecture for air quality predictions (2016) — 317 citations