Bin Liang

Artificial Intelligence · with Cambria · 2021

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

Subfields

• Artificial Intelligence — 32 citations into it

Whom Bin Liang trusts overall

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

1. Maria Pontiki
2. Wei Xue
3. Jeffrey Pennington
4. Jacob Devlin
5. Dehong Ma
6. Richard Socher
7. Kai Sun
8. Dimitris Galanis
9. Erik Cambria
10. Christopher D. Manning

Who trusts Bin Liang overall

1. Yan Wang

Papers from Bin Liang's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. GloVe: Global Vectors for Word Representation
4. Attention is All you Need (Neural Information Processing Systems)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks (2021) — 456 citations