Jun Xu

Artificial Intelligence · with Dai · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Information Systems — 15 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Jun Xu trusts

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

1. Thorsten Joachims (in Artificial Intelligence)
2. Tie-Yan Liu (in Artificial Intelligence)

Papers from Jun Xu's perspective

Ordered by how strongly the researchers Jun Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Neural Networks for YouTube Recommendations
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. Neural Collaborative Filtering
4. BPR: Bayesian Personalized Ranking from Implicit Feedback
5. Matrix Factorization Techniques for Recommender Systems
6. Scaling Laws for Neural Language Models (arXiv.org)
7. Optimizing search engines using clickthrough data
8. Scaling Language Models: Methods, Analysis & Insights from Training Gopher
9. Scaling Instruction-Finetuned Language Models (Journal of machine learning research)
10. BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer (International Conference on Information and Knowledge Management)

Their papers

• Uncovering ChatGPT’s Capabilities in Recommender Systems (2023) — 389 citations