Xingwei Qu
Artificial Intelligence · 2023–2025
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 68 citations into it
Whom Xingwei Qu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Wenhu Chen
- Diederik P. Kingma
- Yoshua Bengio
- Jason Wei
- Alex Krizhevsky
- Ilya Sutskever
- Dan Hendrycks
- Kaiming He
- Yann LeCun
Papers from Xingwei Qu's perspective
Ordered by how strongly the researchers Xingwei Qu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning (2023) — 596 citations
- ReTool: Reinforcement Learning for Strategic Tool Use in LLMs (2025) — 332 citations