Chengyu Liu
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Chengyu Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chengyu Liu's perspective
Ordered by how strongly the researchers Chengyu Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Layer Normalization
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
Their papers
- An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG (2021) — 535 citations
- An Open Access Database for Evaluating the Algorithms of Electrocardiogram Rhythm and Morphology Abnormality Detection (2018) — 641 citations
- AF Classification from a Short Single Lead ECG Recording: the PhysioNet/Computing in Cardiology Challenge 2017 (2017) — 847 citations
- An Open Access Database for the Evaluation of Heart Sound Algorithms (2016) — 768 citations