Heng Li
Artificial Intelligence · with Zhang · 2007–2019
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Environmental Engineering — 12 citations into it; #591 of 5,479 by trust here, #2,527 by citations
- Statistics and Probability — 9 citations into it; #2,410 of 12,932 by trust here, #4,650 by citations
- Civil and Structural Engineering — 5 citations into it; #960 of 6,160 by trust here, #3,212 by citations
Whom Heng Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dongxiao Zhang
- Lionel Mathelin
- Y. Hussaini
- Zhiming Lu
- Thomas A. Zang
- Dongbin Xiu
- L. Eon Bottou
- Diederik P. Kingma
- G. Em Karniadakis
Who trusts Heng Li overall
- Sergey Oladyshkin
- N. Fajraoui
- Wolfgang Nowak
- Guang Lin
- M. Rajabi
- Shui-Hua Jiang
- Eric Laloy
- John D. Jakeman
- Fanilo Ramasomanana
- Dongxiao Zhang
Papers from Heng Li's perspective
Ordered by how strongly the researchers Heng Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Automatic differentiation in PyTorch
- Deep Learning
- A unified architecture for natural language processing: deep neural networks with multitask learning
- TensorFlow: A system for large-scale machine learning
- A Survey on Transfer Learning
- Large-Scale Machine Learning with Stochastic Gradient Descent
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods (2007) — 263 citations
- A Comparative Study of the Probabilistic-Collocation and Experimental-Design Methods for Petroleum-Reservoir Uncertainty Quantification (2011) — 54 citations
- Efficient and Accurate Quantification of Uncertainty for Multiphase Flow With the Probabilistic Collocation Method (2009) — 47 citations
- Deep Learning of Subsurface Flow via Theory-guided Neural Network (2019) — 299 citations