Yunfan Shao
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 7 papers; trusts 317 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 333 citations into it; #33,178 of 35,345 by trust here, #5,084 by citations
- Natural Language Processing — 197 citations into it
- Computer Vision and Pattern Recognition — 107 citations into it; #20,403 of 21,575 by trust here, #4,584 by citations
- Large Language Models — 104 citations into it
- Representation & Self-Supervised Learning — 65 citations into it
- Model Architectures — 42 citations into it
- Efficiency & Compression — 34 citations into it
- Prompting & Reasoning — 26 citations into it
Whom Yunfan Shao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Richard Socher
- Alex Graves
- Jimmy Ba
Who trusts Yunfan Shao overall
Papers from Yunfan Shao's perspective
Ordered by how strongly the researchers Yunfan Shao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Pre-trained models for natural language processing: A survey (2020) — 1,716 citations
- Star-Transformer (2019) — 292 citations
- Black-Box Tuning for Language-Model-as-a-Service (2022) — 354 citations
- CoLAKE: Contextualized Language and Knowledge Embedding (2020) — 223 citations
- Character-LLM: A Trainable Agent for Role-Playing (2023) — 475 citations
- InternLM2 Technical Report (2024) — 416 citations
- Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces (2020) — 8 citations