Feida Zhu

Artificial Intelligence · with Lim · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Sociology and Political Science — 17 citations into it
• Statistical and Nonlinear Physics — 14 citations into it
• Communication — 13 citations into it
• Statistical Learning Theory — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Natural Language Processing — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Feida Zhu trusts overall

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

1. Jerome H. Friedman
2. Daniel Klein
3. Yoav Freund
4. Leo Breiman

Papers from Feida Zhu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Random Forests
8. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
9. LIBLINEAR: A Library for Large Linear Classification
10. Bagging Predictors

Their papers

• Characterizing Silent Users in Social Media Communities (2015) — 88 citations
• On Unravelling Opinions of Issue Specific-Silent Users in Social Media (2016) — 9 citations
• Detecting click fraud in online advertising: a data mining approach (2014) — 95 citations