Ji Wan

Molecular Biology · with Song · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 18 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 Ji Wan trusts overall

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

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

Papers from Ji Wan's perspective

Ordered by how strongly the researchers Ji Wan 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Rectified Linear Units Improve Restricted Boltzmann Machines
9. Learning Multiple Layers of Features from Tiny Images
10. This PDF file includes: Materials and Methods

Their papers

• Clustering single-cell RNA-seq data with a model-based deep learning approach (2019) — 381 citations