Lei Xu
Artificial Intelligence · with Tang · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Generative Models — 25 citations into it; #1,481 of 1,956 by trust here, #1,843 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #15,575 of 21,575 by trust here, #18,782 by citations
- Management Science and Operations Research — 7 citations into it
- Signal Processing — 6 citations into it; #5,307 of 7,572 by trust here, #6,355 by citations
Whom Lei Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome P. Reiter
- Individualized Treat
- Matt J. Kusner
- Lovedeep Gondara
- Geoffrey E. Hinton
- Bill Howe
- Tim Salimans
- Lantao Yu
- Diederik P. Kingma
- Neha Patki
Who trusts Lei Xu overall
Papers from Lei Xu's perspective
Ordered by how strongly the researchers Lei Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- 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
Their papers
- Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load (2019) — 147 citations
- Synthesizing Tabular Data using Generative Adversarial Networks (2018) — 323 citations