Wu-Jun Li

Artificial Intelligence · with Liang · 2024

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Meta & Continual Learning — 17 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Wu-Jun Li 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. Gobinda Saha
6. Yabin Wang
7. Diederik P. Kingma
8. Yann LeCun
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Wu-Jun Li's perspective

Ordered by how strongly the researchers Wu-Jun Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning (2024) — 210 citations