Kun Wang
Mechanics of Materials · with Sun · 2018
A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Mechanics of Materials — 27 citations into it
- Civil and Structural Engineering — 19 citations into it
- Artificial Intelligence — 14 citations into it; #22,890 of 35,345 by trust here, #31,361 by citations
- Computational Theory and Mathematics — 9 citations into it
- Management, Monitoring, Policy and Law — 6 citations into it
- Materials Chemistry — 6 citations into it
- Computational Mechanics — 5 citations into it; #6,314 of 10,001 by trust here, #8,566 by citations
- Reinforcement Learning — 5 citations into it
Whom Kun Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- WaiChing Sun
- Y. Dafalias
- Matthew R. Kuhn
- Richard Bellman
- David Silver
- Julien Yvonnet
- Diederik P. Kingma
- C. Miehé
- N. Guo
- Sinno Jialin Pan
Who trusts Kun Wang overall
Papers from Kun Wang's perspective
Ordered by how strongly the researchers Kun Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)