Yuwei Fang
Artificial Intelligence · with Chen · 2019–2023
A researcher in the Science corpus: 5 papers; trusts 250 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 182 citations into it
- Computer Vision and Pattern Recognition — 135 citations into it
- Natural Language Processing — 111 citations into it
- Multimodal Learning — 70 citations into it
- Large Language Models — 35 citations into it
- Evaluation & Benchmarks — 32 citations into it
- Information Retrieval & Search — 29 citations into it
- Representation & Self-Supervised Learning — 23 citations into it
Whom Yuwei Fang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Jacob Devlin
- Tomas Mikolov
- Alex Graves
Who trusts Yuwei Fang overall
- Tushar Khot
- Yuyu Zhang
- Iz Beltagy
- Mihir Kale
- Manzil Zaheer
- Noah Constant
- Ming Ding
- Linting Xue
- Ethan Perez
- Xiangpeng Wei
Papers from Yuwei Fang's perspective
Ordered by how strongly the researchers Yuwei Fang 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)
- ImageNet classification with deep convolutional neural networks
- 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
- 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
- FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding (2020) — 61 citations
- Hierarchical Graph Network for Multi-hop Question Answering (2019) — 198 citations
- LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval (2021) — 94 citations
- KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering (2021) — 112 citations
- i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data (2023) — 4 citations