Tian Tian

Molecular Biology · with Wei · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 23 citations into it
• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Tian Tian trusts overall

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

1. Pascal Vincent
2. L. V. D. van der Maaten
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Hugo Larochelle
6. Alexander Strehl
7. Wei Vivian Li
8. Diederik P. Kingma
9. Sashank J. Reddi
10. Ross B. Girshick

Papers from Tian Tian's perspective

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

Their papers

• Clustering single-cell RNA-seq data with a model-based deep learning approach (2019) — 381 citations
• Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma (2018) — 622 citations