Lei Wang
Artificial Intelligence · with Fan · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #20,991 of 35,345 by trust here, #19,439 by citations
- Probabilistic & Bayesian Methods — 19 citations into it
- Atomic and Molecular Physics, and Optics — 16 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Condensed Matter Physics — 6 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Lei Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David John Cameron MacKay
- Nikolaus Hansen
- Geoffrey E. Hinton
- Yann LeCun
- Diederik P. Kingma
- Aapo Hyvärinen
- Paul Smolensky
- John J. Hopfield
- Yoshua Bengio
- Radford M. Neal
Who trusts Lei Wang overall
Papers from Lei Wang's perspective
Ordered by how strongly the researchers Lei 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
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Differentiable Learning of Quantum Circuit Born Machine (2018) — 315 citations
- Unsupervised Generative Modeling Using Matrix Product States (2017) — 313 citations