Guang Chen

Artificial Intelligence · IEEE Transactions on Systems, Man & Cybernetics. Systems · 2012–2024

A researcher in the Science corpus: 5 papers; trusts 238 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 145 citations into it
• Reinforcement Learning — 101 citations into it
• Computer Vision and Pattern Recognition — 91 citations into it
• Control and Systems Engineering — 46 citations into it
• Management Science and Operations Research — 39 citations into it
• Computational Theory and Mathematics — 28 citations into it
• Optimization & Training — 14 citations into it
• Statistics and Probability — 10 citations into it

Whom Guang Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. David G. Lowe
6. Diederik P. Kingma
7. Yoshua Bengio
8. Ilya Sutskever
9. Yann LeCun
10. Shaoqing Ren

Who trusts Guang Chen overall

1. José Ramón Padilla-López
2. Alexandros André Chaaraoui

Papers from Guang Chen's perspective

Ordered by how strongly the researchers Guang Chen 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Review of Safe Reinforcement Learning: Methods, Theories, and Applications (2024) — 298 citations
• A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal (2022) — 306 citations
• A Review of Safe Reinforcement Learning: Methods, Theory and Applications (2022) — 328 citations
• Action recognition using ensemble weighted multi-instance learning (2014) — 23 citations
• A sensor fusion approach for localization with cumulative error elimination (2012) — 43 citations