Zhiping Lin

Artificial Intelligence · with Weng · 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 Zhiping Lin 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. Diederik P. Kingma
7. Ross B. Girshick
8. Yann LeCun
9. Bernt Schiele
10. Zhizhong Li

Papers from Zhiping Lin's perspective

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

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