Yichen Xu
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 153 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 101 citations into it
- Representation & Self-Supervised Learning — 48 citations into it
- Computer Vision and Pattern Recognition — 45 citations into it
- Information Systems — 37 citations into it
- Natural Language Processing — 35 citations into it
- Graph Learning — 32 citations into it
- Software — 20 citations into it
- Evaluation & Benchmarks — 17 citations into it
Whom Yichen Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Michael I. Jordan
- Sepp Hochreiter
- Kaiming He
- Yann LeCun
- J. Urgen Schmidhuber
Who trusts Yichen Xu overall
- Lirong Wu
- Yaochen Xie
- Baptiste Rozière
- Xuheng Cai
- Zihan Lin
- Namkyeong Lee
- Yanqiao Zhu
- Shantanu Thakoor
Papers from Yichen Xu's perspective
Ordered by how strongly the researchers Yichen Xu 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- A Survey on Pretrained Language Models for Neural Code Intelligence (2022) — 19 citations
- Graph Contrastive Learning with Adaptive Augmentation (2020) — 1,475 citations
- Deep Graph Contrastive Representation Learning (2020) — 1,103 citations