Zhen Qin
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 5 papers; trusts 77 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 170 citations into it; #26,468 of 35,345 by trust here, #12,974 by citations
- Natural Language Processing — 97 citations into it
- Computer Vision and Pattern Recognition — 88 citations into it
- Model Architectures — 71 citations into it
- Large Language Models — 45 citations into it
- Evaluation & Benchmarks — 25 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- General Social Sciences — 6 citations into it
Whom Zhen Qin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Kaiming He
- Sepp Hochreiter
- Yi Tay
- Yann LeCun
- Alex Graves
Who trusts Zhen Qin overall
Papers from Zhen Qin's perspective
Ordered by how strongly the researchers Zhen Qin 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Charformer: Fast Character Transformers via Gradient-based Subword Tokenization (2021) — 213 citations
- Are Pretrained Convolutions Better than Pretrained Transformers? (2021) — 54 citations
- Transformer Memory as a Differentiable Search Index (2022) — 444 citations
- OmniNet: Omnidirectional Representations from Transformers (2021) — 33 citations
- cosFormer: Rethinking Softmax in Attention (2022) — 331 citations