Liqiang Wang
Artificial Intelligence · with Li · 2019
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Safety, Robustness & Interpretability — 33 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Signal Processing — 9 citations into it
- Hardware and Architecture — 8 citations into it
Whom Liqiang Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Ian J. Goodfellow
- Christian Szegedy
- Geoffrey E. Hinton
- Nicholas Carlini
- Anish Athalye
- Ilya Sutskever
- Nicolas Papernot
- Yoshua Bengio
- Yann LeCun
Who trusts Liqiang Wang overall
Papers from Liqiang Wang's perspective
Ordered by how strongly the researchers Liqiang 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)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)