Hao Fei
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 3 papers; trusts 250 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 122 citations into it
- Computer Vision and Pattern Recognition — 122 citations into it
- Multimodal Learning — 60 citations into it
- Large Language Models — 36 citations into it
- Natural Language Processing — 28 citations into it
Whom Hao Fei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
- Karen Simonyan
- Oriol Vinyals
Who trusts Hao Fei overall
Papers from Hao Fei's perspective
Ordered by how strongly the researchers Hao Fei 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- NExT-GPT: Any-to-Any Multimodal LLM (2023) — 842 citations
- Transfer Visual Prompt Generator across LLMs (2023) — 114 citations
- Unified Named Entity Recognition as Word-Word Relation Classification (2021) — 351 citations