Xiaojun Xu

Artificial Intelligence · with Liu · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it
• Large Language Models — 20 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Safety Research — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Xiaojun Xu trusts overall

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

1. Geoffrey E. Hinton
2. Ronen Eldan
3. John Schulman
4. Nicholas Carlini
5. Alex Krizhevsky
6. Yoshua Bengio
7. Diederik P. Kingma
8. Thibault Sellam
9. Stephanie C. Lin
10. Ilya Sutskever

Who trusts Xiaojun Xu overall

1. Ruiqi Zhang

Papers from Xiaojun Xu's perspective

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

Their papers

• Large Language Model Unlearning (2023) — 330 citations
• Rethinking machine unlearning for large language models (2024) — 311 citations