Yan Wang
Automotive Engineering · with Wu · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 22 citations into it; #1,409 of 3,081 by trust here, #2,938 by citations
- Industrial and Manufacturing Engineering — 19 citations into it
- Artificial Intelligence — 15 citations into it
- Mechanical Engineering — 15 citations into it; #4,209 of 8,300 by trust here, #7,458 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Yan Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Vladimir Naumovich Vapni
- Isaac E. Lagaris
- Marc C. Kennedy
- Chih-Wei Hsu
- Norden E. Huang
- Benjamin Peherstorfer
- Achmad Widodo
- Anoop Kumar Sood
- Atilim Gunes Baydin
Who trusts Yan Wang overall
Papers from Yan Wang's perspective
Ordered by how strongly the researchers Yan Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- LIBSVM: A library for support vector machines
- A Survey on Transfer Learning
- Predicting the output from a complex computer code when fast approximations are available
- Self-taught learning: transfer learning from unlabeled data
- Effect of processing conditions on the bonding quality of FDM polymer filaments
- Automatic differentiation in machine learning: a survey
- Gradient-based learning applied to document recognition
- Multi-task Gaussian Process Prediction
- Principal Component Analysis
Their papers
- Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling (2019)
- Real-time FDM machine condition monitoring and diagnosis based on acoustic emission and hidden semi-Markov model (2017) — 142 citations
- In situ monitoring of FDM machine condition via acoustic emission (2015) — 175 citations