Lei Zhang

Artificial Intelligence · with Liu · 2011–2018

A researcher in the Science corpus: 4 papers; trusts 200 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 206 citations into it; #3,321 of 35,345 by trust here, #4,526 by citations
• Natural Language Processing — 72 citations into it
• Information Systems — 41 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Sociology and Political Science — 15 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 13 citations into it
• Experimental and Cognitive Psychology — 8 citations into it

Whom Lei Zhang trusts overall

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

1. B. Liu
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Richard Socher
5. Nitin Jindal
6. Alex Graves
7. Janyce Wiebe
8. Diederik P. Kingma
9. Tomas Mikolov
10. Ilya Sutskever

Who trusts Lei Zhang overall

1. Duyu Tang
2. Zhiyuan Chen
3. B. Liu
4. Dogu Araci
5. Daniel Gayo-Avello
6. Aytuğ Onan
7. Fatemeh Hemmatian
8. Maite Taboada
9. David A. Noever
10. Saif M. Mohammad

Papers from Lei Zhang's perspective

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

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

Their papers

• Sentiment Analysis and Opinion Mining (2012) — 6,885 citations
• Deep learning for sentiment analysis: A survey (2018) — 1,916 citations
• A Survey of Opinion Mining and Sentiment Analysis (2012) — 1,528 citations
• Combining lexicon-based and learning-based methods for twitter sentiment analysis (2011) — 505 citations