Zuxin Liu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Reinforcement Learning — 10 citations into it
• Robotics & Control — 6 citations into it

Whom Zuxin Liu trusts overall

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

1. Radford M. Neal
2. Michael I. Jordan
3. Morgan Quigley
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yoshua Bengio
7. Alex Krizhevsky
8. Chelsea Finn
9. Yann LeCun
10. Kaiming He

Papers from Zuxin Liu's perspective

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

Their papers

• Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes (2020) — 38 citations
• DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments (2018) — 1,029 citations