Yuxian Meng
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 71 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 92 citations into it; #32,333 of 35,345 by trust here, #13,760 by citations
- Natural Language Processing — 59 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Model Architectures — 10 citations into it
- Information Systems — 5 citations into it
Whom Yuxian Meng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ross B. Girshick
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Richard Socher
- Jacob Devlin
Who trusts Yuxian Meng overall
Papers from Yuxian Meng's perspective
Ordered by how strongly the researchers Yuxian Meng 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- A Unified MRC Framework for Named Entity Recognition (2019) — 701 citations
- Dice Loss for Data-imbalanced NLP Tasks (2019) — 765 citations
- BertGCN: Transductive Text Classification by Combining GNN and BERT (2021) — 317 citations