Chen Dun

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #30,587 of 35,345 by trust here, #23,731 by citations
• Reinforcement Learning — 22 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• LLM Agents & Tool Use — 8 citations into it
• Model Architectures — 5 citations into it

Whom Chen Dun trusts overall

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

1. Gao Huang
2. Ashish Vaswani
3. Geoffrey E. Hinton
4. Marco A. Wiering
5. Yoshua Bengio
6. Yann LeCun
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Peng Peng
10. Sainbayar Sukhbaatar

Who trusts Chen Dun overall

1. Afshin Oroojlooyjadid
2. Davood Hajinezhad
3. Akshat Agarwal
4. Wendelin Böhmer
5. Arrasy Rahman

Papers from Chen Dun's perspective

Ordered by how strongly the researchers Chen Dun trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Graph Convolutional Reinforcement Learning (2018) — 435 citations
• Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation (2018) — 15 citations