Yixiong Chen

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 24 citations into it
• Generative Models — 14 citations into it
• Management Science and Operations Research — 11 citations into it
• Model Architectures — 11 citations into it
• Time-Series & Forecasting — 11 citations into it
• Optimization & Training — 10 citations into it
• Natural Language Processing — 6 citations into it

Whom Yixiong Chen trusts overall

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

1. Kaiming He
2. Rob J Hyndman
3. Alex Graves
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Sergey Ioffe
8. Tomas Mikolov
9. Alex Krizhevsky
10. Diederik P. Kingma

Papers from Yixiong Chen's perspective

Ordered by how strongly the researchers Yixiong 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. Long Short-Term Memory
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis (2023) — 863 citations
• Probabilistic Forecasting with Temporal Convolutional Neural Network (2019) — 405 citations