Lin Guan

Artificial Intelligence · with Zhang · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 73 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 117 citations into it; #35,274 of 35,345 by trust here, #21,878 by citations
• Reinforcement Learning — 87 citations into it
• Computer Vision and Pattern Recognition — 60 citations into it
• Control and Systems Engineering — 32 citations into it
• Cognitive Neuroscience — 19 citations into it
• Human-Computer Interaction — 15 citations into it; #1,410 of 2,253 by trust here, #1,011 by citations
• Alignment & RLHF — 10 citations into it

Whom Lin Guan trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Yann LeCun
4. W. B. Knox
5. Yoshua Bengio
6. Diederik P. Kingma
7. Pieter Abbeel
8. Alex Krizhevsky
9. Peter Stone
10. Andrew Y. Ng

Who trusts Lin Guan overall

1. Ruohan Zhang
2. Akanksha Saran
3. Xu Huang

Papers from Lin Guan's perspective

Ordered by how strongly the researchers Lin Guan 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. Et al

Their papers

• Leveraging Human Guidance for Deep Reinforcement Learning Tasks (2019) — 98 citations
• Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning (2023) — 316 citations
• Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems (2021) — 56 citations
• Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation (2020) — 56 citations
• Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset (2019) — 82 citations