Yuchen Cui

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it; #12,830 of 35,345 by trust here, #21,316 by citations
• Reinforcement Learning — 37 citations into it
• Control and Systems Engineering — 23 citations into it; #4,027 of 8,257 by trust here, #4,262 by citations
• Computer Vision and Pattern Recognition — 22 citations into it
• Cognitive Neuroscience — 9 citations into it
• Management Science and Operations Research — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yuchen Cui trusts overall

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

1. Radford M. Neal
2. Kaiming He
3. Alex Krizhevsky
4. Pieter Abbeel
5. Andrew Y. Ng
6. Geoffrey E. Hinton
7. Sergey Levine
8. Yoshua Bengio
9. Ilya Sutskever
10. Deepak Ramachandran

Who trusts Yuchen Cui overall

1. Daniel S. Brown
2. Scott Niekum
3. Oliver Kroemer
4. Wenlong Huang
5. George Dimitri Konidaris
6. Boyuan Chen
7. Siddharth Reddy
8. Avi Singh
9. Ruohan Zhang

Papers from Yuchen Cui's perspective

Ordered by how strongly the researchers Yuchen Cui 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? (2022) — 102 citations
• Active Reward Learning from Critiques (2018) — 80 citations
• Risk-Aware Active Inverse Reinforcement Learning (2018) — 63 citations
• The EMPATHIC Framework for Task Learning from Implicit Human Feedback (2020) — 81 citations