Jiacheng Sun

Computer Vision and Pattern Recognition · with Li · 2022–2024

A researcher in the Science corpus: 2 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Generative Models — 43 citations into it
• Artificial Intelligence — 34 citations into it
• Statistical and Nonlinear Physics — 20 citations into it
• Signal Processing — 18 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Jiacheng Sun trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Prafulla Dhariwal
6. Alex Nichol
7. Yoshua Bengio
8. Yang Song
9. Kaiming He
10. Yann LeCun

Papers from Jiacheng Sun's perspective

Ordered by how strongly the researchers Jiacheng Sun 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. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Learning Multiple Layers of Features from Tiny Images
6. GENERATIVE ADVERSARIAL NETS
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (2022) — 91 citations
• Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data (2024) — 345 citations