Xuehai Pan

Artificial Intelligence · 2023–2025

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 128 citations into it
• Large Language Models — 51 citations into it
• Safety, Robustness & Interpretability — 24 citations into it
• Reinforcement Learning — 20 citations into it
• Health Informatics — 10 citations into it

Whom Xuehai Pan trusts overall

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

1. Iason Gabriel
2. Paul Christiano
3. Eitan Altman
4. Jiaming Ji
5. John Schulman

Papers from Xuehai Pan's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
6. Layer Normalization
7. Proximal Policy Optimization Algorithms (arXiv.org)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models (2025) — 637 citations
• Safe RLHF: Safe Reinforcement Learning from Human Feedback (2023) — 750 citations
• BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset (2023) — 964 citations
• AI Alignment: A Comprehensive Survey (2023) — 376 citations
• Baichuan 2: Open Large-scale Language Models (2023) — 1,014 citations