Huy L. Nguyen
Artificial Intelligence · 2012–2020
A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #4,862 of 35,345 by trust here, #8,365 by citations
- Computational Mechanics — 28 citations into it; #955 of 10,001 by trust here, #1,624 by citations
- Computational Theory and Mathematics — 21 citations into it; #1,146 of 12,182 by trust here, #3,796 by citations
- Optimization & Training — 21 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Management Science and Operations Research — 10 citations into it
- Statistics and Probability — 10 citations into it; #2,535 of 12,932 by trust here, #3,609 by citations
- Computer Networks and Communications — 9 citations into it; #646 of 9,886 by trust here, #1,118 by citations
Whom Huy L. Nguyen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kenneth L. Clarkson
- Yurii E. Nesterov
- Tamás Sarlós
- Michael W. Mahoney
- David P. Woodruff
- H. Brendan McMahan
- Arkadi Nemirovski
- Terence Tao
- Diederik P. Kingma
- Arkadi S. Nemirovsky
Who trusts Huy L. Nguyen overall
- David P. Woodruff
- Leighton Pate Barnes
- Yanjun Han
- Saber Salehkaleybar
- Zhao Song
- Ayfer Özgür
- Jayadev Acharya
- Kenneth L. Clarkson
- Yin Tat Lee
- Michael I. Jordan
Papers from Huy L. Nguyen's perspective
Ordered by how strongly the researchers Huy L. Nguyen 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Communication lower bounds for statistical estimation problems via a distributed data processing inequality (2015) — 193 citations
- On Communication Cost of Distributed Statistical Estimation and Dimensionality (2014) — 113 citations
- Submodular Maximization with Nearly-optimal Approximation and Adaptivity in Nearly-linear Time (2018) — 79 citations
- OSNAP: Faster Numerical Linear Algebra Algorithms via Sparser Subspace Embeddings (2012) — 417 citations
- Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence (2020) — 18 citations
- Subspace Embeddings for the Polynomial Kernel (2014) — 104 citations