Pingfeng Wang
Statistics and Probability · 2008–2022
A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 38 citations into it; #4,058 of 12,932 by trust here, #5,481 by citations
- Artificial Intelligence — 18 citations into it
- Computational Theory and Mathematics — 17 citations into it
- Control and Systems Engineering — 17 citations into it; #871 of 8,257 by trust here, #1,475 by citations
- Management Science and Operations Research — 13 citations into it
- Civil and Structural Engineering — 11 citations into it; #1,347 of 6,160 by trust here, #3,532 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Pingfeng Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- H. Xu
- R. Fisher
- Sharif Rahman
- Yoshua Bengio
- Xiaoping Du
- Geoffrey E. Hinton
- Byeng Dong Youn
- Beiqing Huang
- Mark Schwabacher
- Hugo Larochelle
Who trusts Pingfeng Wang overall
- Zhen Hu
- Haidong Shao
- Zhuyun Chen
- Chen Lu
- Dixiong Yang
- Chao Jiang
- Omer Berat Sezer
- Zhiqiang Chen
- Cuicui Luo
- Hongkai Jiang
Papers from Pingfeng Wang's perspective
Ordered by how strongly the researchers Pingfeng Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Complementary Intersection Method for System Reliability Analysis (2009) — 67 citations
- Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis (2008) — 194 citations
- Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life (2011) — 367 citations
- A Generalized Complementary Intersection Method (GCIM) for System Reliability Analysis (2011) — 66 citations
- Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges (2022) — 320 citations
- Failure diagnosis using deep belief learning based health state classification (2013) — 592 citations