Xiao Yang

Artificial Intelligence · with Pang · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 446 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 262 citations into it; #35,241 of 35,345 by trust here, #10,942 by citations
• Safety, Robustness & Interpretability — 168 citations into it
• Computer Vision and Pattern Recognition — 166 citations into it
• Signal Processing — 67 citations into it
• Molecular Biology — 32 citations into it
• Electrical and Electronic Engineering — 26 citations into it
• Model Architectures — 23 citations into it
• Hardware and Architecture — 22 citations into it

Whom Xiao Yang 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. Christian Szegedy
6. Ian J. Goodfellow
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Xiao Yang overall

1. Zitong Yu
2. Tianyu Pang
3. Zekai Wang
4. Anqi Mao
5. Zezheng Wang
6. Tao Bai
7. Sven Gowal

Papers from Xiao Yang's perspective

Ordered by how strongly the researchers Xiao Yang 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR (2022) — 1,335 citations
• Boosting Adversarial Training with Hypersphere Embedding (2020) — 170 citations
• Bag of Tricks for Adversarial Training (2020) — 306 citations
• Face Anti-Spoofing: Model Matters, so Does Data (2019) — 228 citations
• On Evaluating Adversarial Robustness of Large Vision-Language Models (2023) — 369 citations
• Benchmarking Adversarial Robustness on Image Classification (2020) — 304 citations