Chun-Yi Lee

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 314 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 87 citations into it
• Computer Vision and Pattern Recognition — 79 citations into it; #18,880 of 21,575 by trust here, #16,787 by citations
• Reinforcement Learning — 50 citations into it
• Management Science and Operations Research — 17 citations into it
• Model Architectures — 17 citations into it
• Optimization & Training — 15 citations into it

Whom Chun-Yi Lee trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yann LeCun
6. Yoshua Bengio
7. Christian Szegedy
8. Ilya Sutskever
9. Ross B. Girshick
10. Karen Simonyan

Who trusts Chun-Yi Lee overall

1. Tinne Tuytelaars
2. Thomas Verelst

Papers from Chun-Yi Lee's perspective

Ordered by how strongly the researchers Chun-Yi Lee 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Deep Policy Inference Q-Network for Multi-Agent Systems (2017) — 93 citations
• Virtual-to-Real: Learning to Control in Visual Semantic Segmentation (2018) — 85 citations
• Dynamic Video Segmentation Network (2018) — 143 citations
• Diversity-Driven Exploration Strategy for Deep Reinforcement Learning (2018) — 147 citations
• A Dynamic Deep Neural Network Design for Efficient Workload Allocation in Edge Computing (2017) — 44 citations