Geli Fei
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 5 papers; trusts 60 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it; #5,276 of 35,345 by trust here, #13,353 by citations
- Information Systems — 20 citations into it; #1,083 of 8,771 by trust here, #3,402 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Natural Language Processing — 15 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Probabilistic & Bayesian Methods — 9 citations into it
- Statistical Learning Theory — 8 citations into it
- Meta & Continual Learning — 8 citations into it; #403 of 1,041 by trust here, #782 by citations
Whom Geli Fei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- B. Liu
- Thorsten Joachims
- Nitin Jindal
- J. Platt
- Bianca Zadrozny
- Shehroz S. Khan
- Walter J. Scheirer
- Lalit P. Jain
- Bernhard Schölkopf
Who trusts Geli Fei overall
- Lei Shu
- B. Liu
- Hu Xu
- Bing Liu
- Diana Benavides Prado
- Wenpeng Hu
- Ting-En Lin
- Shuai Wang
- Chuanxing Geng
- Sepideh Esmaeilpour
Papers from Geli Fei's perspective
Ordered by how strongly the researchers Geli Fei trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Exploiting Burstiness in Reviews for Review Spammer Detection (2021) — 372 citations
- Lifelong Learning Memory Networks for Aspect Sentiment Classification (2018) — 30 citations
- Learning Cumulatively to Become More Knowledgeable (2016) — 103 citations
- Breaking the Closed World Assumption in Text Classification (2016) — 139 citations
- Social Media Text Classification under Negative Covariate Shift (2015) — 40 citations