Tianhe Chi

Artificial Intelligence · 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 Tianhe Chi trusts overall

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

1. Marc'Aurelio Ranzato

Papers from Tianhe Chi's perspective

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

1. Long Short-Term Memory
2. This PDF file includes: Materials and Methods
3. Learning Deep Architectures for AI
4. Extracting and composing robust features with denoising autoencoders
5. ImageNet classification with deep convolutional neural networks
6. A unified architecture for natural language processing: deep neural networks with multitask learning
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
9. Gradient-based learning applied to document recognition
10. Mastering the game of Go with deep neural networks and tree search

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