Wei Gao

Artificial Intelligence · Annual Meeting of the Association for Computational Linguistics · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 70 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #11,833 of 35,345 by trust here, #18,186 by citations
• Sociology and Political Science — 38 citations into it; #2,357 of 22,756 by trust here, #5,006 by citations
• Statistical and Nonlinear Physics — 33 citations into it; #8,011 of 10,127 by trust here, #3,513 by citations
• Information Systems — 27 citations into it; #2,613 of 8,771 by trust here, #3,761 by citations
• Natural Language Processing — 16 citations into it
• Model Architectures — 8 citations into it

Whom Wei Gao trusts overall

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

1. Chih-Jen Lin
2. Yuhai Wu
3. Jing Ma
4. Jaka Demsar
5. Richard Socher
6. Carlos Castillo
7. Sejeong Kwon
8. Yoshua Bengio
9. Saif M. Mohammad
10. Alex Graves

Who trusts Wei Gao overall

1. Jing Ma
2. Yi-Ju Lu
3. Tian Bian
4. Christos Baziotis
5. Ramy Baly
6. Karishma Sharma
7. Alessandro Bondielli
8. Natali Ruchansky
9. Yang Liu
10. Xinyi Zhou

Papers from Wei Gao's perspective

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

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

Their papers

• Detect Rumors Using Time Series of Social Context Information on Microblogging Websites (2015) — 672 citations
• Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning (2017) — 642 citations
• Rumor Detection on Twitter with Tree-structured Recursive Neural Networks (2018) — 596 citations
• From classification to quantification in tweet sentiment analysis (2016) — 71 citations
• Detecting Rumors from Microblogs with Recurrent Neural Networks (2016) — 1,331 citations