Tianjian Huang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Optimization & Training — 14 citations into it
• Computational Mechanics — 12 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Mathematical Optimization — 5 citations into it
• Numerical Analysis — 5 citations into it

Whom Tianjian Huang trusts overall

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

1. Yurii E. Nesterov
2. Arkadi Nemirovski
3. Gauthier Gidel
4. Constantinos Daskalakis
5. Ian J. Goodfellow
6. David F. Gleich
7. Anatoli B. Juditsky
8. Geoffrey E. Hinton
9. Alex Krizhevsky

Papers from Tianjian Huang's perspective

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

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

Their papers

• Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods (2019) — 397 citations