Yujia Huang

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 324 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 94 citations into it; #12,652 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 61 citations into it
• Safety, Robustness & Interpretability — 33 citations into it
• Generative Models — 20 citations into it
• Biomedical Engineering — 18 citations into it; #4,886 of 10,734 by trust here, #5,396 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Yujia Huang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yann LeCun
6. Ilya Sutskever
7. Yoshua Bengio
8. Christian Szegedy
9. Jia Deng
10. Ross B. Girshick

Who trusts Yujia Huang overall

1. Yifan Sun
2. Lorenzo Bonicelli
3. Liang Zheng
4. Chunfeng Song
5. Hao Luo
6. Yumin Suh
7. Jing Xu
8. Hantao Yao

Papers from Yujia Huang's perspective

Ordered by how strongly the researchers Yujia Huang 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
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. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Diffusion Models for Adversarial Purification (2022) — 722 citations
• Pose-Invariant Embedding for Deep Person Re-Identification (2017) — 593 citations
• Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (2021) — 100 citations