Huahua Wang
Computational Mechanics · 2013–2014
A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 47 citations into it; #1,823 of 10,001 by trust here, #6,287 by citations
- Optimization & Training — 40 citations into it; #892 of 2,601 by trust here, #2,081 by citations
- Artificial Intelligence — 33 citations into it; #32,824 of 35,345 by trust here, #32,362 by citations
- Statistics and Probability — 19 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Mathematical Optimization — 14 citations into it
- Computational Theory and Mathematics — 9 citations into it; #2,084 of 12,182 by trust here, #6,798 by citations
- Numerical Analysis — 9 citations into it; #527 of 3,586 by trust here, #1,659 by citations
Whom Huahua Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John C. Duchi
- Yurii E. Nesterov
- Shai Shalev-Shwartz
- Mingyi Hong
- Paul Tseng
- Wei Deng
- E.J. Candes
- Jerome H. Friedman
- Bingsheng He
- Yoram Singer
Who trusts Huahua Wang overall
- Han-Jia Ye
- Ke Li
- Sergey Levine
- Soumyadeep Chatterjee
- De-chuan Zhan
- Lénaïc Chizat
- Mohammad Emtiyaz Khan
- Jakub Konecný
- Yan Yang
- Ali Yahya
Papers from Huahua Wang's perspective
Ordered by how strongly the researchers Huahua Wang 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
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Regression Shrinkage and Selection via the Lasso
Their papers
- Bregman Alternating Direction Method of Multipliers (2013) — 222 citations
- Randomized Block Coordinate Descent for Online and Stochastic Optimization (2014) — 36 citations
- Parallel Direction Method of Multipliers (2014) — 53 citations
- Large Scale Distributed Sparse Precision Estimation (2013) — 39 citations