Sheng Chen

Artificial Intelligence · with Huang · 2020

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

Subfields

• Artificial Intelligence — 27 citations into it

Whom Sheng Chen trusts overall

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

1. Cynthia Dwork

Papers from Sheng Chen's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. GENERATIVE ADVERSARIAL NETS
3. Improved Techniques for Training GANs
4. Human-level control through deep reinforcement learning
5. Deep Learning
6. Proximal Policy Optimization Algorithms (arXiv.org)
7. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
8. Image-to-Image Translation with Conditional Adversarial Networks
9. Mastering the game of Go with deep neural networks and tree search
10. ImageNet classification with deep convolutional neural networks

Their papers

• Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings (2020) — 60 citations
• Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning (2020) — 104 citations