Jian Wu

Artificial Intelligence · with Frazier · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #8,993 of 35,345 by trust here, #23,731 by citations
• Computational Theory and Mathematics — 5 citations into it
• Management Science and Operations Research — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Jian Wu trusts overall

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

1. Jasper Snoek
2. Amar Shah
3. Donald R. Jones
4. Thomas Desautels
5. Peter I. Frazier
6. Zoubin Ghahramani
7. Hugo Larochelle
8. Andreas Krause
9. Ryan P. Adams
10. Geoffrey E. Hinton

Who trusts Jian Wu overall

1. Peter I. Frazier
2. Kirthevasan Kandasamy
3. Maximilian Balandat
4. Sam Daulton
5. Benjamin Letham
6. Xilu Wang
7. Akshay Krishnamurthy
8. Brian Karrer
9. Eytan Bakshy
10. Jeff Schneider

Papers from Jian Wu's perspective

Ordered by how strongly the researchers Jian Wu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Parallel Knowledge Gradient Method for Batch Bayesian Optimization (2016) — 251 citations