Min Jiang

Artificial Intelligence · with Xu · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Molecular Biology — 21 citations into it

Whom Min Jiang trusts overall

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

1. Alan R. Aronson
2. Michael Krauthammer
3. François-Michel Lang
4. Rong-En Fan
5. Guergana K. Savova
6. Ronan Collobert
7. Goran Nenadic
8. Geoffrey E. Hinton

Who trusts Min Jiang overall

1. Benjamin Shickel
2. Patrick James Tighe
3. Jing Li
4. Zexian Zeng

Papers from Min Jiang's perspective

Ordered by how strongly the researchers Min Jiang 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. Efficient Estimation of Word Representations in Vector Space
4. Attention is All you Need (Neural Information Processing Systems)
5. This PDF file includes: Materials and Methods
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
10. Natural Language Processing (Almost) from Scratch

Their papers

• Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network (2015) — 168 citations
• A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries (2011) — 295 citations
• CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines (2017) — 343 citations