Xuerui Wang
Artificial Intelligence · Knowledge Discovery and Data Mining · 2005–2007
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #4,347 of 35,345 by trust here, #8,706 by citations
- Statistical and Nonlinear Physics — 8 citations into it; #593 of 10,127 by trust here, #1,328 by citations
- Molecular Biology — 6 citations into it
- Natural Language Processing — 6 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Signal Processing — 5 citations into it
Whom Xuerui Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kenneth Ward Church
- Hanna M. Wallach
- T. Griffiths
- Michael I. Jordan
- John D. Lafferty
- Yee Whye Teh
- Tom Minka
- David M. Blei
- Christophe Andrieu
- Chengxiang Zhai
Who trusts Xuerui Wang overall
- Jey Han Lau
- Charu C. Aggarwal
- Uttam Chauhan
- David Mimno
- Rubayyi Alghamdi
- Andrew McCallum
- Daniel Preotiuc-Pietro
- Shaheen Syed
- Qiaozhu Mei
- Hamed Jelodar
Papers from Xuerui Wang's perspective
Ordered by how strongly the researchers Xuerui Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Topic and Role Discovery in Social Networks (2005) — 784 citations
- Topics over time: a non-Markov continuous-time model of topical trends (2006) — 1,462 citations
- Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval (2007) — 541 citations