Qinzhuo Wu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #30,457 of 35,345 by trust here, #26,682 by citations
• Natural Language Processing — 34 citations into it; #4,942 of 5,688 by trust here, #4,793 by citations
• Model Architectures — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Information Systems — 8 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Qinzhuo Wu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Lei Wang
3. Sepp Hochreiter
4. Yoshua Bengio
5. Ilya Sutskever
6. Geoffrey E. Hinton
7. Dzmitry Bahdanau
8. Jimmy Ba
9. Yan Wang
10. J. Urgen Schmidhuber

Who trusts Qinzhuo Wu overall

1. Yihuai Lan
2. Iddo Drori
3. Lei Wang
4. Nakul Verma
5. Qiyuan Zhang
6. Qi Zhang

Papers from Qinzhuo Wu's perspective

Ordered by how strongly the researchers Qinzhuo Wu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Math Word Problem Solving with Explicit Numerical Values (2021) — 62 citations
• A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving (2020) — 80 citations