Longhua Qian

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Natural Language Processing — 22 citations into it
• Molecular Biology — 14 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Longhua Qian trusts overall

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

1. Robert Leaman
2. Diederik P. Kingma
3. Christopher D. Manning
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. John C. Duchi
7. Ronan Collobert
8. Jeffrey Pennington
9. Richard Socher
10. Thien Huu Nguyen

Papers from Longhua Qian's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. GloVe: Global Vectors for Word Representation
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Modeling Graph Structure in Transformer for Better AMR-to-Text Generation (2019) — 105 citations
• Chemical-induced disease relation extraction via convolutional neural network (2017) — 97 citations