Zhengxuan Wu
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 144 citations into it
- Natural Language Processing — 113 citations into it; #3,782 of 5,688 by trust here, #2,172 by citations
- Evaluation & Benchmarks — 51 citations into it; #2,015 of 3,147 by trust here, #1,362 by citations
- Computer Vision and Pattern Recognition — 33 citations into it
- Information Systems — 9 citations into it
Whom Zhengxuan Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Richard Socher
- Alex Krizhevsky
- Kaiming He
- Christopher D. Manning
- Alex Graves
Who trusts Zhengxuan Wu overall
Papers from Zhengxuan Wu's perspective
Ordered by how strongly the researchers Zhengxuan Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- Dynabench: Rethinking Benchmarking in NLP (2021) — 580 citations
- MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions (2023) — 346 citations
- DynaSent: A Dynamic Benchmark for Sentiment Analysis (2020) — 87 citations