Yajing Kong

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 591 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 178 citations into it; #18,988 of 35,345 by trust here, #26,682 by citations
• Computer Vision and Pattern Recognition — 147 citations into it; #15,850 of 21,575 by trust here, #18,782 by citations
• Meta & Continual Learning — 92 citations into it; #580 of 1,041 by trust here, #911 by citations
• Representation & Self-Supervised Learning — 58 citations into it
• Model Architectures — 37 citations into it
• Optimization & Training — 31 citations into it
• Radiology, Nuclear Medicine and Imaging — 19 citations into it
• Efficiency & Compression — 15 citations into it

Whom Yajing Kong trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Arslan Chaudhry
6. Yann LeCun
7. Marc'Aurelio Ranzato
8. Diederik P. Kingma
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Yajing Kong overall

1. Zhen Wang
2. Liangzu Peng
3. Liyuan Wang
4. Liu Liu
5. Paris V. Giampouras
6. René Vidal

Papers from Yajing Kong's perspective

Ordered by how strongly the researchers Yajing Kong 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

• Balancing Stability and Plasticity through Advanced Null Space in Continual Learning (2022) — 53 citations
• Continual Learning with Lifelong Vision Transformer (2022) — 99 citations
• Online Continual Learning with Contrastive Vision Transformer (2022) — 45 citations
• Adaptive Curriculum Learning (2021) — 66 citations