Jingbo Wang

Artificial Intelligence · with Zabaras · 2004–2006

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #11,618 of 35,345 by trust here, #21,316 by citations
• Probabilistic & Bayesian Methods — 6 citations into it
• Statistics and Probability — 5 citations into it; #1,890 of 12,932 by trust here, #3,411 by citations

Whom Jingbo Wang trusts overall

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

1. Anna M. Michalak
2. Christophe Andrieu
3. Tim Hesterberg
4. Christian P. Robert
5. Peter Congdon
6. Julian Besag
7. Nicholas Zabaras
8. Peter K. Kitanidis
9. Nando de Freitas
10. Peter J. Green

Who trusts Jingbo Wang overall

1. Youssef M. Marzouk
2. Nicholas Zabaras
3. Gianluigi Rozza
4. Habib N. Najm
5. C. Nguyen
6. Liang Yan
7. Dinh Bao Phuong Huynh
8. Emmanuel D. Blanchard
9. Dongbin Xiu
10. James Martin

Papers from Jingbo Wang's perspective

Ordered by how strongly the researchers Jingbo Wang 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. Monte Carlo Strategies in Scientific Computing
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Gradient-based learning applied to document recognition
8. An Introduction to MCMC for Machine Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Using Bayesian statistics in the estimation of heat source in radiation (2005) — 146 citations
• Hierarchical Bayesian models for inverse problems in heat conduction (2005) — 173 citations
• A Bayesian inference approach to the inverse heat conduction problem (2004) — 269 citations
• A markov random field model of contamination source identification in porous media flow (2006) — 47 citations