Kaicheng Zhang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Reinforcement Learning — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom Kaicheng Zhang trusts overall

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

1. Brian Yamauchi
2. Lei Tai
3. Matthew J. Hausknecht
4. Volodymyr Mnih
5. Jens Kober
6. Ravi Garg
7. Sen Wang
8. Kai Arulkumaran

Papers from Kaicheng Zhang's perspective

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

1. Human-level control through deep reinforcement learning
2. ImageNet classification with deep convolutional neural networks
3. Asynchronous Methods for Deep Reinforcement Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Going deeper with convolutions
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Reinforcement Learning Robot for Search and Rescue Applications: Exploration in Unknown Cluttered Environments (2019) — 362 citations