Zuohui Fu
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 5 papers; trusts 128 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 111 citations into it
- Computer Vision and Pattern Recognition — 70 citations into it
- Information Systems — 59 citations into it
- Recommender Systems — 28 citations into it
- Natural Language Processing — 17 citations into it
- Model Architectures — 11 citations into it
- Marketing — 8 citations into it
- Reinforcement Learning — 5 citations into it
Whom Zuohui Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Richard S. Sutton
- Yann LeCun
- Ruining He
Who trusts Zuohui Fu overall
Papers from Zuohui Fu's perspective
Ordered by how strongly the researchers Zuohui Fu 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- RomeBERT: Robust Training of Multi-Exit BERT (2021) — 32 citations
- User-oriented Fairness in Recommendation (2021) — 301 citations
- Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) (2022) — 915 citations
- Character Matters: Video Story Understanding with Character-Aware Relations (2020) — 11 citations
- Reinforcement Knowledge Graph Reasoning for Explainable Recommendation (2019) — 562 citations