Lidan Wang

Artificial Intelligence · with Liu · 2014–2020

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it; #21,407 of 35,345 by trust here, #14,438 by citations
• Natural Language Processing — 36 citations into it; #3,649 of 5,688 by trust here, #3,478 by citations
• Evaluation & Benchmarks — 10 citations into it
• Information Systems — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Lidan Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Richard Socher
5. Tomas Mikolov
6. Yoon Kim
7. Jason Aaron Edward Weston
8. Yann LeCun
9. Christopher D. Manning
10. Diederik P. Kingma

Who trusts Lidan Wang overall

1. Ming Tan

Papers from Lidan Wang's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Applying deep learning to answer selection: A study and an open task (2015) — 390 citations
• ClusCite: effective citation recommendation by information network-based clustering (2014) — 143 citations
• Understanding Points of Correspondence between Sentences for Abstractive Summarization (2020) — 29 citations