Zichen Jeff Cui

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 99 citations into it
• Computer Vision and Pattern Recognition — 79 citations into it
• Reinforcement Learning — 55 citations into it
• Natural Language Processing — 20 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Large Language Models — 9 citations into it

Whom Zichen Jeff Cui trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yann LeCun
8. Ilya Sutskever
9. Sergey Levine
10. J. Urgen Schmidhuber

Papers from Zichen Jeff Cui's perspective

Ordered by how strongly the researchers Zichen Jeff 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. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Behavior Transformers: Cloning k modes with one stone (2022) — 421 citations
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 (2023) — 1,105 citations