Yunsheng Tian

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Computational Mechanics — 9 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it
• Reinforcement Learning — 8 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Yunsheng Tian trusts overall

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

1. John Schulman
2. Alex Krizhevsky
3. Sham M. Kakade
4. Sergey Levine
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Pieter Abbeel
8. Diederik P. Kingma
9. Matthew D. Zeiler
10. Yoshua Bengio

Papers from Yunsheng Tian's perspective

Ordered by how strongly the researchers Yunsheng Tian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Fluid directed rigid body control using deep reinforcement learning (2018) — 77 citations