Xiaogang Jia

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Generative Models — 14 citations into it
• Reinforcement Learning — 12 citations into it
• Statistical and Nonlinear Physics — 10 citations into it

Whom Xiaogang Jia trusts overall

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

1. Pascal Vincent
2. Yang Song
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Jonathan Ho
6. Yoshua Bengio
7. Alex Krizhevsky
8. Stefano Ermon
9. Sergey Levine
10. Oier Mees

Papers from Xiaogang Jia's perspective

Ordered by how strongly the researchers Xiaogang Jia 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Goal-Conditioned Imitation Learning using Score-based Diffusion Policies (2023) — 298 citations