Xingmei Wang
Artificial Intelligence · 2023–2024
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 176 citations into it
Whom Xingmei Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Xingmei Wang's perspective
Ordered by how strongly the researchers Xingmei Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Unsupervised Multitask Learners
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Improving Language Understanding by Generative Pre-Training
- Efficient Estimation of Word Representations in Vector Space
Their papers
- Understanding the planning of LLM agents: A survey (2024) — 483 citations
- When large language models meet personalization: perspectives of challenges and opportunities (2023) — 347 citations