Xiaoguang Qi

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #26,125 of 35,345 by trust here, #25,040 by citations
• Information Systems — 20 citations into it; #5,966 of 8,771 by trust here, #5,713 by citations
• Information Retrieval & Search — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Xiaoguang Qi trusts overall

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

1. Ludmila I. Kuncheva
2. Thomas Hofmann
3. David A. Cohn
4. Simon Tong
5. David D. Jensen
6. Soumen Chakrabarti
7. Daphne Koller
8. Brian D. Davison
9. Susan T. Dumais
10. Jennifer Neville

Who trusts Xiaoguang Qi overall

1. Ammar Ismael Kadhim
2. Jimmy J. Lin
3. David Martens
4. Shuhua Liu
5. Doyen Sahoo

Papers from Xiaoguang Qi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
6. Long Short-Term Memory
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Support Vector Machine Active Learning with Applications to Text Classification
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Web page classification: Features and algorithms (2009) — 529 citations