Guangyao Chen

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 403 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 235 citations into it
• Computer Vision and Pattern Recognition — 205 citations into it
• Multimodal Learning — 89 citations into it
• Representation & Self-Supervised Learning — 46 citations into it
• Model Architectures — 21 citations into it
• Safety, Robustness & Interpretability — 18 citations into it
• Optimization & Training — 10 citations into it
• Signal Processing — 10 citations into it

Whom Guangyao Chen 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. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Ross B. Girshick
9. Christian Szegedy
10. Karen Simonyan

Who trusts Guangyao Chen overall

1. Sagar Vaze
2. Kai Han

Papers from Guangyao Chen's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Adversarial Reciprocal Points Learning for Open Set Recognition (2021) — 466 citations
• Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey (2023) — 326 citations
• OpenOOD: Benchmarking Generalized Out-of-Distribution Detection (2022) — 381 citations