Kangkang Jiang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Kangkang Jiang trusts overall

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

1. David W. Lu
2. Ramsey Faragher

Papers from Kangkang Jiang's perspective

Ordered by how strongly the researchers Kangkang Jiang 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. Human-level control through deep reinforcement learning
3. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Deterministic Policy Gradient Algorithms
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Adversarial Deep Reinforcement Learning in Portfolio Management (2018) — 162 citations