Lihua Lei
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 6 papers; trusts 133 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 106 citations into it; #8,986 of 35,345 by trust here, #15,236 by citations
- Statistics and Probability — 105 citations into it; #5,831 of 12,932 by trust here, #5,126 by citations
- Optimization & Training — 44 citations into it
- Causal Inference & Discovery — 26 citations into it; #182 of 364 by trust here, #198 by citations
- Computational Mechanics — 26 citations into it; #2,104 of 10,001 by trust here, #3,362 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Management Science and Operations Research — 18 citations into it
- Statistical Learning Theory — 14 citations into it
Whom Lihua Lei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir G Vovk
- Donald B. Rubin
- Yuchen Zhang
- Jerome H. Friedman
- Robert Tibshirani
- Judea Pearl
- Susan Athey
- Tong Zhang
- Yurii E. Nesterov
- Bradley Efron
Who trusts Lihua Lei overall
- Zeyuan Allen-Zhu
- Ashok Cutkosky
- Aaron Defazio
- Anastasios Nikolas Angelopoulos
- L. Eon Bottou
- Róbert Istvan Busa-Fekete
- Angelos Katharopoulos
- Jose H. Blanchet
- Rina Foygel Barber
- Dmitry Kovalev
Papers from Lihua Lei's perspective
Ordered by how strongly the researchers Lihua Lei 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Non-convex Finite-Sum Optimization Via SCSG Methods (2017) — 257 citations
- Distribution-Free, Risk-Controlling Prediction Sets (2021) — 311 citations
- Less than a Single Pass: Stochastically Controlled Stochastic Gradient (2016) — 103 citations
- Conformal inference of counterfactuals and individual treatment effects (2020) — 262 citations
- Overlap in observational studies with high-dimensional covariates (2017) — 229 citations
- Conformal Risk Control (2022) — 297 citations