Yuyu Zhang
Artificial Intelligence · with Song · 2014–2020
A researcher in the Science corpus: 8 papers; trusts 218 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 159 citations into it; #15,882 of 35,345 by trust here, #7,062 by citations
- Natural Language Processing — 101 citations into it; #5,057 of 5,688 by trust here, #3,638 by citations
- Computer Vision and Pattern Recognition — 64 citations into it; #14,883 of 21,575 by trust here, #12,992 by citations
- Information Retrieval & Search — 26 citations into it
- Evaluation & Benchmarks — 20 citations into it
- Graph Learning — 20 citations into it; #456 of 693 by trust here, #266 by citations
- Optimization & Training — 19 citations into it
- Management Science and Operations Research — 17 citations into it
Whom Yuyu Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Ronald J. Williams
- Yann LeCun
- Kaiming He
- Alex Graves
- Jason Aaron Edward Weston
Who trusts Yuyu Zhang overall
- Dietmar Jannach
- Apoorv Saxena
- Malte Ludewig
- Qiang Liu
- Shu Wu
- Li Zhou
- Vikas Yadav
- Haitian Sun
- Matthias Feurer
- Hanjun Dai
Papers from Yuyu Zhang's perspective
Ordered by how strongly the researchers Yuyu Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- 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)
Their papers
- Learning Combinatorial Optimization Algorithms over Graphs (2017) — 1,745 citations
- Variational Reasoning for Question Answering with Knowledge Graph (2017) — 576 citations
- Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks (2014) — 355 citations
- Question Directed Graph Attention Network for Numerical Reasoning over Text (2020) — 69 citations
- Answering Any-hop Open-domain Questions with Iterative Document Reranking (2020) — 24 citations
- DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering (2020) — 7 citations
- KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings (2018) — 28 citations
- FLASH: Fast Bayesian Optimization for Data Analytic Pipelines (2016) — 35 citations