Weitong Zhang

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Management Science and Operations Research — 19 citations into it
• Reinforcement Learning — 16 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Weitong Zhang trusts overall

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

1. Lin F. Yang
2. Satinder Singh
3. Yasin Abbasi-Yadkori
4. Mengdi Wang
5. Csaba Szepesvari
6. Richard S. Sutton
7. Alex Ayoub
8. Peter Auer
9. Michael I. Jordan
10. Chi Jin

Who trusts Weitong Zhang overall

1. Khimya Khetarpal

Papers from Weitong Zhang's perspective

Ordered by how strongly the researchers Weitong Zhang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Reinforcement Learning: An Introduction
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation (2021) — 36 citations
• Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL (2021) — 13 citations