Xing Gao

Artificial Intelligence · with Zhang · 2022–2023

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

Subfields

• Artificial Intelligence — 41 citations into it

Whom Xing Gao trusts

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

1. Percy Liang (in Artificial Intelligence)

Papers from Xing Gao's perspective

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

1. Prototypical Networks for Few-shot Learning
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
6. SQuAD: 100,000+ Questions for Machine Comprehension of Text
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Teaching Machines to Read and Comprehend

Their papers

• CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility (2023) — 108 citations
• Continual Few-shot Intent Detection (2022) — 17 citations