LingJuan Lv

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Meta & Continual Learning — 19 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Federated & Distributed Learning — 9 citations into it
• Reinforcement Learning — 5 citations into it

Whom LingJuan Lv trusts overall

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

1. Alex Krizhevsky
2. Arslan Chaudhry
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Kaiming He
6. Anthony V. Robins
7. Yann LeCun
8. Jaehong Yoon
9. Diederik P. Kingma
10. Zhizhong Li

Papers from LingJuan Lv's perspective

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

Their papers

• TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation (2023) — 118 citations