Jinglai Li

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #25,380 of 35,345 by trust here, #34,213 by citations
• Statistics and Probability — 9 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it; #1,230 of 1,525 by trust here, #1,487 by citations

Whom Jinglai Li trusts overall

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

1. Carl E. Rasmussen
2. Claude E. Shannon
3. Youssef M. Marzouk
4. Anthony OʼHagan
5. P. Deb
6. A. Rényi
7. Jeremy E. Oakley
8. Geoffrey J. McLachlan
9. Paola Sebastiani
10. Heikki Haario

Who trusts Jinglai Li overall

1. Gwonsoo Che
2. Hongseok Yang

Papers from Jinglai Li's perspective

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

1. Bayesian Monte Carlo
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Bayes–Hermite quadrature
6. Gaussian Processes in Machine Learning
7. An Introduction to MCMC for Machine Learning
8. Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals
9. Near-optimal sensor placements in Gaussian processes
10. Maximum entropy sampling and optimal Bayesian experimental design

Their papers

• Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions (2017) — 66 citations