Xiaofei Sun
Artificial Intelligence · ACM Computing Surveys · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 193 citations into it
- Computer Vision and Pattern Recognition — 76 citations into it
- Natural Language Processing — 76 citations into it
- Information Systems — 16 citations into it
- Scaling & Learning Theory — 6 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Xiaofei Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Jacob Devlin
- Yann LeCun
- Alex Graves
Papers from Xiaofei Sun's perspective
Ordered by how strongly the researchers Xiaofei Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Dice Loss for Data-imbalanced NLP Tasks (2019) — 765 citations
- GPT-NER: Named Entity Recognition via Large Language Models (2023) — 420 citations
- Instruction Tuning for Large Language Models: A Survey (2023) — 905 citations
- BertGCN: Transductive Text Classification by Combining GNN and BERT (2021) — 317 citations