Kai-Cheng Yang
Sociology and Political Science · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 58 citations into it; #19,687 of 22,756 by trust here, #6,886 by citations
- Information Systems — 46 citations into it; #7,862 of 8,771 by trust here, #2,539 by citations
- Artificial Intelligence — 33 citations into it
- Statistical and Nonlinear Physics — 26 citations into it
- Communication — 13 citations into it
- Signal Processing — 13 citations into it; #7,279 of 7,572 by trust here, #5,829 by citations
- AI Ethics, Fairness & Society — 10 citations into it
- Natural Language Processing — 8 citations into it
Whom Kai-Cheng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Emilio Ferrara
- Onur Varol
- Clayton A. Davis
- Kyumin Lee
- Alexandre Leblanc
- Alessandro Bessi
- Sneha Kudugunta
- Jiwei Li
- Alexandru Niculescu-Mizil
- Soroush Vosoughi
Who trusts Kai-Cheng Yang overall
Papers from Kai-Cheng Yang's perspective
Ordered by how strongly the researchers Kai-Cheng Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Human-level control through deep reinforcement learning
- Going deeper with convolutions
Their papers
- The spread of low-credibility content by social bots (2017) — 1,210 citations
- Arming the public with artificial intelligence to counter social bots (2019) — 412 citations
- Scalable and Generalizable Social Bot Detection through Data Selection (2019) — 411 citations