Xiangru Huang

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Optimization & Training — 14 citations into it; #2,212 of 2,601 by trust here, #2,519 by citations
• Computational Mechanics — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Xiangru Huang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yurii E. Nesterov
2. Simon Lacoste-Julien
3. Vladimir Kolmogorov
4. Mingyi Hong
5. Martin J. Wainwright
6. Tommi S. Jaakkola
7. Amir Globerson
8. Martin Jaggi
9. B. Taskar
10. Jonathan S. Yedidia

Who trusts Xiangru Huang overall

1. Gauthier Gidel
2. Fabian Pedregosa
3. Simon Lacoste-Julien

Papers from Xiangru Huang's perspective

Ordered by how strongly the researchers Xiangru Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain (2017) — 5 citations
• Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain (2016) — 9 citations