Qingyu Zhou
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 6 papers; trusts 123 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 118 citations into it; #10,541 of 35,345 by trust here, #7,010 by citations
- Natural Language Processing — 110 citations into it; #3,791 of 5,688 by trust here, #1,939 by citations
- Computer Vision and Pattern Recognition — 32 citations into it
- Model Architectures — 14 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Optimization & Training — 12 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Qingyu Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Krizhevsky
- Xavier Glorot
- Kyunghyun Cho
- Jimmy Ba
- Christopher D. Manning
- Dzmitry Bahdanau
Who trusts Qingyu Zhou overall
- Jaemin Cho
- Furu Wei
- Yang Liu
- Linfeng Song
- Thomas Scialom
- Sho Takase
- Yau-Shian Wang
- Pengfei Liu
- Shiyue Zhang
- Tom Hosking
Papers from Qingyu Zhou's perspective
Ordered by how strongly the researchers Qingyu Zhou 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Neural Question Generation from Text: A Preliminary Study (2017) — 370 citations
- Selective Encoding for Abstractive Sentence Summarization (2017) — 268 citations
- Neural Document Summarization by Jointly Learning to Score and Select Sentences (2018) — 346 citations
- I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension (2018) — 29 citations
- Using Intermediate Representations to Solve Math Word Problems (2018) — 29 citations
- Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems (2021) — 62 citations