Shaojun Zhu

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Reinforcement Learning — 25 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Control and Systems Engineering — 20 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Biomedical Engineering — 6 citations into it
• Mechanical Engineering — 5 citations into it

Whom Shaojun Zhu trusts overall

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

1. Jan Peters
2. Pieter Abbeel
3. Marc Peter Deisenroth
4. John Schulman
5. Philipp Hennig
6. Mohit Sewak
7. Nikolaus Hansen
8. Geoffrey E. Hinton
9. Yan Duan
10. Sergey Levine

Who trusts Shaojun Zhu overall

1. Yevgen Chebotar

Papers from Shaojun Zhu's perspective

Ordered by how strongly the researchers Shaojun Zhu 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. GENERATIVE ADVERSARIAL NETS

Their papers

• Fast Model Identification via Physics Engines for Data-Efficient Policy Search (2017) — 53 citations
• Model Identification via Physics Engines for Improved Policy Search (2017) — 18 citations