Huiping Zhuang

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 128 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Meta & Continual Learning — 36 citations into it
• Radiology, Nuclear Medicine and Imaging — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Huiping Zhuang trusts overall

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

1. Yaoyao Liu
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Bernt Schiele
7. Zhizhong Li
8. Diederik P. Kingma
9. Ross B. Girshick
10. Yann LeCun

Who trusts Huiping Zhuang overall

1. Da-Wei Zhou
2. Zi-Yan Liu
3. Qiwen Wang
4. Chao Du
5. Han-Jia Ye

Papers from Huiping Zhuang's perspective

Ordered by how strongly the researchers Huiping Zhuang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task (2023) — 111 citations
• ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection (2022) — 91 citations