Jiarui Fang
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Efficiency & Compression — 16 citations into it
- Optimization & Training — 9 citations into it
- Large Language Models — 7 citations into it
- Natural Language Processing — 6 citations into it
Whom Jiarui Fang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Jacob Devlin
- Sepp Hochreiter
- Alec Radford
- Yoshua Bengio
- Samyam Rajbhandari
Who trusts Jiarui Fang overall
- Katikapalli Subramanyam Kalyan
- Ying Sheng
- Yinmin Zhong
- Amey Agrawal
- Zichang Liu
- Reza Yazdani Aminabadi
- Zhuohan Li
- Ajit Rajasekharan
- Lianmin Zheng
Papers from Jiarui Fang's perspective
Ordered by how strongly the researchers Jiarui Fang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- TurboTransformers: an efficient GPU serving system for transformer models (2020) — 180 citations
- Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management (2021) — 48 citations